Edward Conard

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Monday, January 31, 2022

How Opioid Overdoses Reached Crisis Levels

AI Summary. U.S. drug overdose deaths rose from 70,630 in 2019 to over 93,000 in 2020, a 30% increase largely driven by opioids, following three waves of prescription opioids, heroin, and synthetic opioids such as fentanyl. Efforts to restrict prescription opioid supply pushed users toward more dangerous substances.

Alicia Sasser Modestino Econofact
Date Posted:
January 31, 2022
Is Database:
Database

Opioid overdose deaths rose 30% from 70,630 in 2019 to over 93,000 in 2020, largely driven by opioids. @AliciaSasser

Did restricting prescription opioid supply push users toward more dangerous drugs?

Core argument: U.S. drug overdose deaths rose from 70,630 in 2019 to over 93,000 in 2020, a 30% increase driven largely by opioids.

The opioid crisis in the U.S. has escalated dramatically, with drug overdose deaths rising from 70,630 in 2019 to over 93,000 in 2020, a 30% increase, largely driven by opioids. This crisis evolved in three waves: initially from prescription opioids like OxyContin, then illegal opioids such as heroin, and finally synthetic opioids, primarily fentanyl. By 2019, the death rate due to illicit fentanyl was 11.4 per 100,000 and rising. Efforts to curb prescription opioid supply have led to unintended consequences, pushing users towards more dangerous substances. A multipronged approach is essential, combining reduced opioid prescribing, increased access to addiction treatment, and harm reduction strategies to address this complex issue effectively.

Takeaways by Macro Roundup® AI

  1. U.S. drug overdose deaths rose from 70,630 in 2019 to over 93,000 in 2020, a 30% increase driven largely by opioids.
  2. The U.S. opioid crisis evolved in three waves, beginning with prescription opioids such as OxyContin, then illegal opioids including heroin, and finally synthetic opioids, primarily fentanyl, whose illicit death rate reached 11.4 per 100,000 by 2019.
  3. Efforts to curb the prescription opioid supply have had unintended consequences, pushing users toward more dangerous substances, and addressing the crisis requires reduced prescribing, greater access to addiction treatment, and harm reduction strategies.

Sasser Modestino tracks the three waves of American drug deaths, "...During 2019, before the onset of the pandemic, 70,630 individuals died from a drug overdose — six times greater than the number in 1999, with opioids involved in 70% of the deaths....With the onset of the COVID pandemic, the combination of increased stress, reduced access to care, and greater prevalence of more lethal drugs led to a record number of93,000 drug deaths in 2020 with roughly 69,000 from opioids. Although opioid overdose-related death rates among non-Hispanic whites have typically exceeded that of other groups, rates among Blacks have risen more steeply in recent years, a trend that preliminary data indicates may have accelerated during the pandemic. And monthly state data indicates that overdose rates remained elevated in 2021....The rise in opioid overdose deaths occurred in three distinct waves arising initially from prescription opioids such as OxyContin, then switching to illegal opioids such as heroin, and finally moving to synthetic opioids — primarily fentanyl...."

Alicia Sasser Modestino, "How Opioid Overdoses Reached Crisis Levels," Econofact, November 19, 2022, https://econofact.org/how-opioid-overdoses-reached-crisis-levels

How Opioid Overdoses Reached Crisis Levels

How Opioid Overdoses Reached Crisis Levels: Extended Excerpt Image 1


The Issue:

More than 90,000 people died of a drug overdose in the U.S. during 2020 — a 30 percent increase over the prior year — and the 12-month death toll hit over 100,000 deaths if you focus on the first 12 months of the pandemic, between April 2020 and April 2021. Drug overdose deaths had been on the rise for two decades in the United States before the pandemic spike. But the problem has been evolving in nature. The opioid crisis started with over-prescribing of prescription painkillers and has since shifted to more dangerous and illegal substances including heroin and fentanyl. Recent restrictions on prescribing and greater use of prescription drug monitoring programs have sought to reduce the supply of opioids while increased funding for substance abuse treatment has focused on decreasing demand. Although neither approach has been proven effective on its own, a multipronged approach appears to offer the most hope.

The Facts:

Increasing drug overdose deaths in the United States have largely been driven by opioids. During 2019, before the onset of the pandemic, 70,630 individuals died from a drug overdose — six times greater than the number in 1999, with opioids involved in 70% of the deaths. The annual death toll from opioids was higher than the number of Americans killed by HIV AIDS or guns in any single year. Drug overdose rates have been higher and rising more rapidly among men over the past two decades and more recently among those aged 25 to 34 years. With the onset of the COVID pandemic, the combination of increased stress, reduced access to care, and greater prevalence of more lethal drugs led to a record number of 93,000 drug deaths in 2020 with roughly 69,000 from opioids. Although opioid overdose-related death rates among non-Hispanic whites have typically exceeded that of other groups, rates among Blacks have risen more steeply in recent years, a trend that preliminary data indicates may have accelerated during the pandemic. And monthly state data indicates that overdose rates remained elevated in 2021.

The rise in opioid overdose deaths occurred in three distinct waves arising initially from prescription opioids such as OxyContin, then switching to illegal opioids such as heroin, and finally moving to synthetic opioids — primarily fentanyl. The first wave began in the 1990s with increased prescribing of opioids, such as OxyContin for the medical management of pain. The most commonly misused prescription opioids were Hydrocodone (such as Vicodin®), Oxycodone (such as OxyContin®), and Codeine. Since 2010, the death rate from prescription opioids leveled off at around 5 deaths per 100,000 (see chart). The slowdown in the mortality rate coincided with decreases in the amount of opioids prescribed in the U.S., attributed to both growing awareness of the risks associated with prescription opioids as well as to state-level policies aimed to reduce over-prescribing. Yet as prescription opioid deaths plateaued, a second wave of the opioid crisis began in 2010 with rapid increases in overdose deaths involving heroin. There is evidence of substantial connection between prescription opioid abuse and heroin use. In a sample of heroin users in a treatment program, 75% of those who began opioid abuse after 2000 reported that their first regular opioid was a prescription drug and that heroin often is more readily accessible, less expensive, and offers a more potent high than prescription opioids. As of 2016, the death rate for heroin also began to level off at around 5 deaths per 100,000. However, even before the rate of heroin deaths slowed, a third wave began in 2013, with significant increases in overdose deaths involving synthetic opioids - particularly illicitly manufactured fentanyl, which is 50 to 100 times more potent than morphine. Illicit fentanyl can be found in combination with heroin, counterfeit pills, and cocaine—making it much more lethal as it is difficult for users to determine the dosage. As of 2019, the death rate due to illicit fentanyl was 11.4 per 100,000 and still rising.

One response to the growing addiction crisis has centered on efforts to restrict the supply of prescription opioids. Many states have passed laws limiting opioid prescribing for acute pain in first-time opioid users to a 7-day supply or shorter (see here). However, the effectiveness of these restrictions on reducing the risk of opioid dependence or mortality is unclear. The Centers for Disease Control and Prevention warns that the risk of long-term opioid use increases with each additional day of taking the pills — starting with the third day. Another strategy aiming to reduce the abuse of prescription opioids relies on Prescription Drug Monitoring Programs, which make it more difficult for people to receive prescription opioids from a physician by allowing physicians to view the prescribing history of a given patient. These programs are intended to limit “doctor shopping,” or the practice of visiting several doctors in order to receive a high quantity of prescription opioids. There is recent evidence that monitoring programs that require physicians to check the database on all cases — not just those that are suspicious — reduce indicators of opioid abuse. However, restrictions on prescribing that make it more difficult for people to access opioids from legal channels might have unintended consequences if, for example, it induces people to seek illicit opioids on the black market, which often increases the likelihood of an overdose.

The number of opioid prescriptions in the U.S. has declined markedly. However, the dispensing rate varies greatly by location and by provider and remains very high in areas of the country. The overall opioid-prescribing rate in the United States has declined from a peak of about 81 opioid prescriptions written for every 100 Americans in 2012 to about 43 per 100 in 2020 (see here). But prescription rates vary greatly. Prescribing of opioids per capita is significantly higher in rural versus urban counties and in places that experience higher rates of “deaths of despair”— deaths related to opioid overdose, alcohol abuse, and suicide — as well as higher rates of unemployment and lower rate of insurance coverage. In addition, prescribing rates are higher where there are more dentists and primary care physicians per capita. And, research shows that emergency room patients treated by physicians who prescribe opioids more often are at greater risk for long-term opioid use even after a single prescription than those who see less-frequent prescribers.

With continued over-prescribing, the likelihood that opioid medications are diverted from the primary patient to secondary users is quite high. The 2018 National Survey on Drug Use and Health found that more than half (51.3 percent) of people who misused pain relievers in the past year obtained the last pain reliever from a friend or relative. Preliminary findings from a Massachusetts pilot program that encourages patients to return unused opioid prescription medication indicate that patients who return unused medication typically return at least half of the pills that they had been prescribed. This finding suggests that physicians may still be prescribing more medication than is necessary even when an opioid is warranted.

Policy responses on the demand side largely include various types of addiction treatment, including the use of medication-assisted therapies. Access to substance abuse treatment in the U.S. has been limited and many counties with relatively high drug-induced death rates do not have a single stand-alone substance use treatment facility. Medication-assisted therapies involve drugs that can satisfy opioid dependence without producing the same euphoric effect as heroin, such as methadone and buprenorphine. Evidence suggests that increased access to these treatment opioids is associated with decreased overdose deaths. One Massachusetts study found that treating opioid overdose survivors with buprenorphine or methadone was linked to a 40% to 60% drop in mortality 1 year later (see here). Yet, sufficient adherence to these medication-assisted therapies is often very low. For example, the minimum recommended duration for buprenorphine/naloxone treatment (also known as Suboxone) is one year or more. Yet studies indicate that 25 to 30 percent of patients discontinue treatment within the first month and 50 percent or more of patients discontinue within 6 months. Moreover, the number of providers that can prescribe these medications is restricted. However, new federal guidelines released in April 2021 will reduce regulatory hurdles to allow far more medical practitioners — such as nurse practitioners and physician assistants — to prescribe buprenorphine in treating opioid use disorder, potentially increasing access particularly in rural areas where there are few physician prescribers. And Medicaid expansions have improved coverage and medication-assisted therapy access for substance-abuse patients.

What this Means:

The economic burden of opioid abuse is vast, including healthcare costs, addiction treatment, lost productivity, and policing and imprisonment. This is on top of the incalculable costs from the loss of life and broken families that are associated with the opioid abuse crisis. Yet there is no silver bullet that can fix the current situation. Efforts to rein in the supply of prescription opioids often have unintended consequences such as driving current users to seek out more dangerous drugs such as heroin and fentanyl. Efforts to reduce demand through addiction treatment are costly and prolonged. Like most complex social problems, the solution to the opioid crisis has to be a multipronged approach. We need to simultaneously pursue preventive measures that decrease the initial prescribing of opioids in favor of alternatives to pain management while maintaining their use for those with chronic pain. These approaches need to be balanced with ensuring that patients suffering from opioid use disorder have access to the most effective forms of treatment as well as harm reduction methods such as safe/supervised injection sites and naloxone to prevent as many overdose deaths as possible. Without continued and coordinated action, we risk reducing access to substance-use treatment just as our opioid-related care needs are at their peak.

  • Historical
  • Workforce
    • Poverty/Crime

Do we stand at the precipice of radical change?

AI Summary. Global Carbon Project data show total annual global carbon emissions stayed roughly flat over a decade despite rapid economic growth, with emissions from electric power having peaked. The author argues improving renewable energy, storage, and electric vehicle technology is making decarbonization economically favorable, and that net-zero pledges by China and India align with scenarios limiting warming to 2ºC.

Noah Smith Noahpinion
Date Posted:
January 31, 2022
Is Database:
Database

Global carbon emissions remained flat btw 2011-2021, despite rapid economic growth, as tech advancements favor decarbonization economically

Are global carbon emissions flattening as clean energy technology improves?

Core argument: Global Carbon Project data indicate total annual global carbon emissions stayed roughly flat between 2011 and 2021 despite a decade of rapid global economic growth, with annual emissions from electric power peaking in 2018.

Recent data from the Global Carbon Project indicates that total annual global carbon emissions remained approximately flat between 2011 and 2021, despite a decade of rapid global economic growth. This suggests that technological advancements in renewable energy, energy storage, and electric vehicles are beginning to favor decarbonization economically. While annual emissions from electric power peaked in 2018, the continued improvement in technology could lead to significant reductions in emissions. Countries like China and India, traditionally resistant to sacrificing economic growth for environmental goals, are now making net-zero emissions pledges. Although these pledges are not yet binding, they align with scenarios that could limit global warming to 2ºC. This shift in economic incentives and policy commitments suggests a narrowing window for addressing climate change, with the potential to avoid the most pessimistic scenarios.

Takeaways by Macro Roundup® AI

  1. Global Carbon Project data indicate total annual global carbon emissions stayed roughly flat between 2011 and 2021 despite a decade of rapid global economic growth, with annual emissions from electric power peaking in 2018.
  2. Advances in renewable energy, energy storage, and electric vehicles appear to be making decarbonization economically favorable, and continued technological improvement could yield significant emissions reductions.
  3. China and India, traditionally resistant to sacrificing economic growth for environmental goals, have made net-zero emissions pledges that, while not yet binding, align with scenarios limiting global warming to 2ºC.

Noah Smith makes the case that technology has already bent the curve on climate change, "...it seems easily possible to imagine a future where we don’t just muddle along with business-as-usual, but in which we do address the threat of climate change with only mild disruptions of our current way of life. The biggest reason is the advance of technology. Renewable energy, energy storage, electric vehicles, and other green technologies have gotten so good, and so cheap, so quickly, that the economic incentives now favor decarbonization. And this is not just theory. Recent data revisions from the Global Carbon Project show that total annual global carbon emissions — including from both fossil fuel use and land use changes — were approximately flat between 2011 and 2021: Global annual emissions from electric power alone, meanwhile, peaked in 2018....Now, annual emissions represent the total amount of carbon we add to the atmosphere each year, so the carbon in the air is still going up (and there’s also methane to think about). But the fact that a decade of rapid global economic growth wasn’t accompanied by any increase in global carbon emissions is a very good sign; as technology continues to improve, we should start to see big drops in annual emissions....Meanwhile, renewables are getting so cheap that even countries like China and India, who are loath to sacrifice even a tiny bit of economic growth for the sake of the global environment, are now making net-zero emissions pledges (China by 2060, India by 2070). These pledges aren’t binding yet, but the time frames fit very well with the scenario where we hold global warming to 2ºC. So the window on climate change is narrowing. The rosy scenario has probably been missed, but the super-pessimistic scenarios are looking much less likely...."

Noah Smith, "Do we stand at the precipice of radical change?," Noahpinion, January 27, 2022, https://noahpinion.substack.com/p/do-we-stand-at-the-precipice-of-radical

Do we stand at the precipice of radical change?

If unrest in America has peaked, you wouldn’t know it from people’s tweets. World War 3, civil war, and apocalyptic climate change are the standard topics of discussion now. Saying that “democracy is dying” and members of the opposite party “literally want to kill you” is de rigueur when discussing electoral politics. On Signal, friends ask me in hushed tones whether they should stockpile food or move out of the country.

Perhaps no tweet so perfectly sums up the vibe on social media as this one:

Do we stand at the precipice of radical change?: Extended Excerpt Image 1


Quoting Rosa Luxemburg, Potash goes on to declare that it’s “socialism or barbarism”.

It’s understandable that Americans would feel this way right now. We’re in the middle of a pandemic that has probably killed a million of our people and is still killing thousands a day. A year and a half ago we had the largest protests the country has ever seen, and a year ago we had what was arguably our country’s first real coup attempt. Violent crime is high and rising, with every day bringing lurid reports of new atrocities. Russia is on the verge of invading Ukraine, while China menaces Taiwan, India, and Japan. And over it all looms the menacing shadow of climate change, as wildfires, hurricanes, and extreme heat events become commonplace.

At such a time, it’s reasonable to deal with the darkness of the present by reaching for radical hope. For many young people, this means some flavor of socialism — a pastoralist degrowth that will stop the runaway train of progress, or a futuristic “luxury space communism” that will solve climate change while delivering techno-prosperity for all. This utopianism reminds me of the character Lauren Olamina in the novel Parable of the Sower, who deals with the trauma of her collapsing society by declaring that humanity must spread throughout the stars.

“Socialism or barbarism” — is it so crazy to think this is the choice we face? In the 20th century we had both. William Butler Yeats wrote “The Second Coming” in 1919, and his words proved more prophecy than hysteria. In the decades that followed, Yeats’ “rough beast” was indeed born — the global economy collapsed, a world war claimed 60 million lives, and ideological nightmare regimes sprung up and killed tens of millions more (often in the name of socialism!). And yet during those decades we also saw the social-democratic West achieve heights of prosperity and freedom hitherto unimagined, while inequality and poverty plummeted; meanwhile, the world freed itself from the yoke of European colonialism. It was an age when grandiose fantasies and grotesque nightmares came true.

So it’s not impossible that we stand at a similar precipice now, a century later. But it’s also worth remembering a very different time, when it also seemed to many that the world stood on the edge of disaster, but we ended up muddling through. That would be the late 20th century.

1965-1994 was crazy, but we muddled through

“And as you tread the halls of sanity/ You feel so glad to be/ Unable to go beyond” — E.L.O.

Most Americans are now too young to remember, but in the early 1970s domestic terrorist attacks became so commonplace that they were practically ignored — over a year and a half during 1971 and 1972, the FBI counted over 2500 bombings in the U.S. Most of these attacks didn’t kill anyone — they were just bombs that blew up empty buildings. But imagine the hysteria if this was happening multiple times a day in 2022! Two left-wing radicals tried to kill President Gerald Ford within a three-week period in 1976!

And people were dying. In the late 60s and 70s, the murder rate — always much higher in the U.S. than in other rich countries — spiked to levels not seen since the 19th century, and stayed high until the late 90s:

Do we stand at the precipice of radical change?: Extended Excerpt Image 2


In cities, the rates were far higher. Horrifying violence became commonplace — when Madonna moved to New York City in 1977 at the age of 19, she was raped at knifepoint on the roof of a building, mugged at gunpoint, and had her home broken into three times. In 1990, NYC saw 2,262 murders.

And a substantial amount of this violence was racially or religiously motivated. In the late 1980s, hate crime referrals to the FBI were almost 10 times as high as in the late 2010s. Data aren’t available before that.

Protests and riots were a fact of life during these years as well. The late 60s and early 70s didn’t see any single week of protesting as intense as the first two weeks of the George Floyd protests, but the nationwide protest campaign against the Vietnam War went on far longer and almost certainly ultimately involved many more person-hours. The riots of the late 60s and early 70s resulted in far more deaths than the Floyd protests; even the single-city riot in L.A. in 1992 killed far more than all of the Floyd protests combined. (Let’s not forget that George H.W. Bush sent the U.S. Marines to suppress the L.A. riots — something Trump never managed to convince his generals to agree to in 2020.)

Even the 1990s, which we now remember as a time of social tranquility, were pretty wild. Parable of the Sower came out in 1993! It was 1994 when a right-wing terrorist blew up a building and killed more people than any other terrorist attack on U.S. soil other than 9/11. Just an hour down the road from where I grew up, the FBI and the ATF put a cult under siege, and 86 people ended up dying. In 1996, the Atlanta Olympics that was supposed to symbolize the post-Cold War triumph of peace and democracy was bombed by a right-wing terrorist.

The three decades from the mid-60s to the mid-90s were, simply put, a time of violence and madness. And let’s not forget the economic catastrophe of the late 70s stagflation, the wage stagnation between roughly 1973 and 1993, or the double-digit unemployment rates of the early 80s.

And as for looming catastrophes, eco-dystopias were already starting to appear in the 70s, but the true Sword of Damocles was nuclear war. Tens of thousands of Soviet tanks stood ready to roll into the Fulda Gap at any moment. By the late 80s, the U.S. and USSR were facing each other with over 60,000 nuclear weapons, many on hair-trigger alert.

Do we stand at the precipice of radical change?: Extended Excerpt Image 3


If not for the quick thinking of the stalwart Stanislav Petrov, human civilization might have been immolated in 1983 due to a computer glitch. And that was just something everyone lived with, every day. Until the USSR fell in 1991, I simply assumed that at some point the world would be nuked, and that we were all living on borrowed time.

And yet in the end, what happened? Armageddon didn’t happen. There was no global socialist revolution or fascist reaction; instead, most countries just liberalized and democratized in the 80s and 90s. Milquetoast neoliberalism became the dominant philosophy of how to organize a society. Terrorist attacks guttered to a low background hum, as did riots and violent crime. By the turn of the millennium, the idea of overthrowing the U.S. government seemed like a joke.

In other words, we muddled through. Life puttered along. The horrors of the early 20th century saw a few echoes in the late part of the century (Cambodia’s killing fields, China’s Cultural Revolution), but overall, the nightmares of the earlier decades were remembered and were not repeated. Americans generally remember the 70s as a time of social and political exhaustion, the 80s as a time of silliness and consumerist distractions, and the 90s as a golden age.

So while it’s possible that the 21st century might repeat or even exceed the horrors and wonders of 100 years ago, it’s equally possible that things might putter along like they did 50 years ago.

BUT, say the people who cry “socialism or barbarism”. BUT. Now, unlike in the 80s and 90s, climate change is finally beginning to bite. And this changes everything, because even if racial and partisan unrest fade, and World War 3 never materializes, ecological disaster means that muddling through is no longer an option.

Does climate change change everything?

The people who still deny either the existence, the cause, or the importance of climate change are divorced from reality. This thing isn’t coming; it’s here, now. Anyone who now trembles at the return of the annual “fire season” in the former paradise known as California understands both the imminence of the threat, and how it can manifest in unexpected ways:

Do we stand at the precipice of radical change?: Extended Excerpt Image 4


(If you’re still in doubt as to climate change’s contribution to this trend, read this post by Jose Luis Ricon.)

Of course, it’s not just wildfires in California. It’s heat domes in Portland and Seattle. It’s eroding home values on the East Coast. It’s increased flooding along rivers and crop destruction in the Northeast and Midwest. It’s intensified hurricanes along the Gulf Coast and drought in the Southwest and in the Plains and Upper Midwest. And this is just the beginning.

What’s more, the world has probably now passed the point where concerted action could prevent major impacts from climate change. Holding the world to the 1.5ºC widely touted as the level necessary to prevent major global impact now seems like an impossible goal, as it would require immediate and drastic changes to the world economy over the next two decades.

Do we stand at the precipice of radical change?: Extended Excerpt Image 5


Even if the U.S. were willing to enact the full Green New Deal (which we are not), and even if this successfully dropped our own emissions to near zero (which it would not), this would only represent a modest fraction of the global total; China and other Asian countries, which together now represent the majority of global emissions, are still building new coal plants at a fairly rapid clip.

To socialists, this really changes everything as far as global governance and the organization of society are concerned. Incrementalism has failed, and the only chance at stopping global catastrophe is the radical recreation of human economies and societies along socialist lines. Just what this would look like — a pastoralist future of degrowth, the “fully automated luxury communism” of the Green New Dealers, or something more authoritarian, is a topic of hot debate on the Left. But nowhere is the option of muddling through given serious consideration — one way or another, it’s asserted, climate change will demolish the society we live in now.

And yet to me, it seems easily possible to imagine a future where we don’t just muddle along with business-as-usual, but in which we do address the threat of climate change with only mild disruptions of our current way of life. The biggest reason is the advance of technology. Renewable energy, energy storage, electric vehicles, and other green technologies have gotten so good, and so cheap, so quickly, that the economic incentives now favor decarbonization.

And this is not just theory. Recent data revisions from the Global Carbon Project show that total annual global carbon emissions — including from both fossil fuel use and land use changes — were approximately flat between 2011 and 2021:

Do we stand at the precipice of radical change?: Extended Excerpt Image 6


Global annual emissions from electric power alone, meanwhile, peaked in 2018.

Now, annual emissions represent the total amount of carbon we add to the atmosphere each year, so the carbon in the air is still going up (and there’s also methane to think about). But the fact that a decade of rapid global economic growth wasn’t accompanied by any increase in global carbon emissions is a very good sign; as technology continues to improve, we should start to see big drops in annual emissions.

Now, technological improvement by itself is probably not enough to avert extreme outcomes from warming. But concerted government policy — by democratically elected governments in capitalist countries — can make a really big difference. The UK passed a climate change bill in 2008 that created a legally binding emissions target. As a result, the country began a rapid and sustained switch from fossil fuels to renewable power:

Do we stand at the precipice of radical change?: Extended Excerpt Image 7


This resulted in a massive and ongoing decrease in the country’s total carbon emissions (yes, including when you adjust for trade and outsourcing):

Do we stand at the precipice of radical change?: Extended Excerpt Image 8


The UK’s economy did suffer from the Great Recession during this time, but overall it grew (until Covid of course), all while reducing emissions drastically and switching to renewables rapidly. So it is possible to do this, and it doesn’t require degrowth, ecofascism, or any of the radical social transformations that online leftists assume we’d need.

Meanwhile, renewables are getting so cheap that even countries like China and India, who are loath to sacrifice even a tiny bit of economic growth for the sake of the global environment, are now making net-zero emissions pledges (China by 2060, India by 2070). These pledges aren’t binding yet, but the time frames fit very well with the scenario where we hold global warming to 2ºC.

So the window on climate change is narrowing. The rosy scenario has probably been missed, but the super-pessimistic scenarios are looking much less likely. In this thread, Ramez Naam looks at the recent data and concludes that the optimistic scenario is now 2ºC and the pessimistic scenario is probably 2.5ºC.

Do we stand at the precipice of radical change?: Extended Excerpt Image 9


Now, that doesn’t mean everything’s fine and we can go back to sleep and muddle through with business as usual. These small-looking numbers conceal big differences — the effects of just 2ºC of warming are pretty dramatic, and 2.5ºC probably falls within the range of what we could reasonably label “global catastrophe”. So no matter what, Earth is in for a bumpy ride this century, and if we drop the ball on policy, some of the very dramatic scenarios could still manifest, technological progress or no.

But this doesn’t mean that climate change will force us to reorganize either society or our economy in radical or unprecedented ways. The UK’s experience shows that we can keep our social-democratic capitalist mixed economies and our modern democratic governments (or in China’s case, its modern autocratic government) and still do what’s necessary to avoid catastrophe by 2070 or so.

Stay mad, stay scared, stay hopeful

Anyway, back to the topic of our current unrest. Despite continuing eruptions of anger at school board meetings and such, I’ve seen some signs that unrest is peaking. Mass protests have largely died down, and — for better or worse — big policy changes in things like policing don’t look like they’re on the table. Meanwhile, public interest in alternative ideologies like socialism seems to be falling:

Do we stand at the precipice of radical change?: Extended Excerpt Image 10


And searches for “white supremacy”, which peaked after Charlottesville and surged during the Floyd protests, are also down:

Do we stand at the precipice of radical change?: Extended Excerpt Image 11


Various other search terms I tried, like “catastrophe”, also seem to be getting less common.

But that doesn’t mean the big fuss is over and we should all go back to sleep. First of all, as Peter Turchin’s theory of unrest stresses, the biggest factor suppressing unrest is when moderates believe that society will fragment unless they bestir themselves to restore order. In other words, we won’t go back to normal unless normal people stay scared and mad for a long time. Again, recall that Parable of the Sower was published in 1993.

And by the same token, it would be premature for us to abandon the impulse toward positive social transformation. The Climate Left may have no chance of ending capitalism, but they’ve inspired lots of center-left businesspeople, scientists, and policymakers to take climate change more seriously — which, ultimately, is what will contain climate change’s effects. And there are plenty of other problems in our society that will need big pushes in order to fix — our broken health care system, our ruinously high construction costs, and so on.

So while I want to reassure you, I only want to reassure you a little bit. America’s great strength is that we freak out about everything, thus bestirring ourselves to early action when other countries might have let problems fester too long. If all goes well, 20 years from now we’ll look back on the 2020s as when society started to become sane again and we started to rebuild after a decade of chaos and rage. But let’s not get ahead of ourselves.

  • Global Warming

China now has nearly half of the worlds offshore wind capacity

AI Summary. China connected 17GW of offshore wind capacity to its grid in a single year, lifting its total to 26GW, or nearly half of global offshore wind capacity of 54GW. Coal still accounts for 60% of China's energy production, and it commissioned 38.4GW of coal-fired power plants in 2020.

Economist Staff The Economist
Date Posted:
January 31, 2022
Is Database:
Database

China added 17GW of offshore wind capacity in 2021, surpassing the rest of the world’s 14GW added btw 2015-2020. However, it also added 38.4GW of coal capacity in 2020.

Does China's offshore wind expansion reduce its reliance on coal?

Core argument: China connected 17GW of offshore wind capacity to its grid in 2021, lifting its total to 26GW, nearly half of the global 54GW of offshore wind capacity.

In 2021, China connected 17GW of offshore wind capacity to its grid, boosting its total to 26GW and capturing nearly half of the global 54GW offshore wind capacity. This rapid expansion is unmatched, as the rest of the world added just over 14GW between 2015-2020. Despite this green energy surge, China's reliance on coal remains significant, with coal accounting for 60% of its energy production. In 2020, China commissioned 38.4GW of coal-power plants, counterbalancing reductions elsewhere. This dual approach highlights China's complex energy strategy, balancing renewable ambitions with substantial coal dependency, challenging its net-zero goals by 2060.

Takeaways by Macro Roundup® AI

  1. China connected 17GW of offshore wind capacity to its grid in 2021, lifting its total to 26GW, nearly half of the global 54GW of offshore wind capacity.
  2. The rest of the world added just over 14GW of offshore wind between 2015 and 2020, less than China added in 2021 alone.
  3. Coal accounts for 60% of China's energy production, and China commissioned 38.4GW of coal-power plants in 2020, counterbalancing reductions elsewhere and challenging its net-zero goal for 2060.

"...The wind is up in China. Last year the countryChinaconnected 17 gigawatts (GW) of offshore-wind capacity to its electricity grid, according to its National Energy Agency, meaning it can now produce up to 26 GW of its power in this way. Such scale and speed is unprecedented: between 2015 and 2020 the rest of the world, collectively, added just over 14GW, according to data from the International Renewable Energy Agency.In 2019, with 8GW of capacity, Britain was the world’s largest offshore-wind producer. China’s global share is now almost half of the 54GW of offshore wind-power capacity globally....China’s embrace of green power cannot disguise its continued reliance on the dirty sort, particularly coal, the biggest source of greenhouse gases globally. Coal use is declining in most of the world but in China it accounts for 60% of energy production—and will remain a big power source in years to come. In 2020 China commissioned 38.4GW of coal-power plants, offsetting the amount idled elsewhere. Without moving away from coal, China’s talk of net-zero—it says its emissions will peak before 2030 and reach net-zero by 2060—is so much hot air...."

Economist Staff, "China now has nearly half of the world’s offshore wind capacity,"The Economist, January 27, 2022, https://www.economist.com/graphic-detail/2022/01/27/china-now-has-nearly-half-of-the-worlds-offshore-wind-capacity

China now has nearly half of the worlds offshore wind capacity: Extended Excerpt Image 1


China now has nearly half of the world’s offshore wind capacity

The wind is up in China. Last year the country connected 17 gigawatts (GW) of offshore-wind capacity to its electricity grid, according to its National Energy Agency, meaning it can now produce up to 26 GW of its power in this way. Such scale and speed is unprecedented: between 2015 and 2020 the rest of the world, collectively, added just over 14GW, according to data from the International Renewable Energy Agency. In 2019, with 8GW of capacity, Britain was the world’s largest offshore-wind producer. China’s global share is now almost half of the 54GW of offshore wind-power capacity globally. (Though the world needs a lot more wind-powered energy yet.)

China’s government sees wind power as a means of reducing air pollution and maintaining energy security. As well as being the world leader in wind power (both on- and offshore), it also leads on solar power. Other countries aren’t keeping up. The International Energy Agency, a global forecaster, estimates that the world—minus China—added only an extra 2.5GW of offshore wind power in 2021. The Biden administration has set a target of 30GW of offshore-wind capacity by 2030, but has only recently approved its first big project (which will provide just 800 megawatts). Britain and Germany have similar ambitions, though they are starting from a significantly higher base.

China’s embrace of green power cannot disguise its continued reliance on the dirty sort, particularly coal, the biggest source of greenhouse gases globally. Coal use is declining in most of the world but in China it accounts for 60% of energy production—and will remain a big power source in years to come. In 2020 China commissioned 38.4GW of coal-power plants, offsetting the amount idled elsewhere. Without moving away from coal, China’s talk of net-zero—it says its emissions will peak before 2030 and reach net-zero by 2060—is so much hot air.

  • Productivity
    • Investment
  • Comparisons
    • Cross-country
    • Historical
  • Science
    • Global Warming

Inflation and the Power of Narrative

AI Summary. Wage growth accelerated according to the Atlanta Federal Reserve's wage tracker and the Employment Cost Index, but inflation outpaced wages, leaving real wages modestly lower on a two-year basis alongside strong job growth. Consumer sentiment is highly negative even as Americans report positive personal finances, suggesting media narratives and partisanship shape perceptions of the national economy.

Paul Krugman Krugman Wonks Out
Date Posted:
January 31, 2022
Is Database:
Database

Real wage growth has been a complex narrative shaped by inflation & economic shifts. Despite strong job growth, real wages are likely down on a 2-year basis, influenced by narratives rather than personal financial experiences.

Why is consumer sentiment negative despite positive personal finances?

Core argument: Inflation has outpaced wage growth over the past year even as the Atlanta Fed's wage tracker and the Employment Cost Index show a sharp acceleration in wages, leaving real wages likely down modestly on a two-year basis.

From 1997 to 2021, real wage growth has been a complex narrative shaped by inflation and economic shifts. Despite a sharp acceleration in wages as shown by the Atlanta Fed’s wage tracker and the Employment Cost Index, inflation has outpaced wage growth over the past year. In 2020, inflation was low, leading to a rise in real wages, but on a two-year basis, real wages are likely down, albeit not significantly. This modest decline in real wages contrasts with strong job growth, a combination that historically favored past presidents. However, consumer sentiment remains extremely negative, influenced by narratives rather than personal financial experiences. This highlights the role of media coverage and partisanship in shaping public perception, as Americans report positive personal financial situations but perceive the national economy negatively.

Takeaways by Macro Roundup® AI

  1. Inflation has outpaced wage growth over the past year even as the Atlanta Fed's wage tracker and the Employment Cost Index show a sharp acceleration in wages, leaving real wages likely down modestly on a two-year basis.
  2. A modest decline in real wages alongside strong job growth is a combination that historically favored past presidents, yet consumer sentiment remains extremely negative.
  3. Americans report positive personal financial situations while perceiving the national economy negatively, a gap attributed to narratives, media coverage, and partisanship rather than personal financial experience.

Paul Krugman, "Inflation and the Power of Narrative," Krugman Wonks Out, January 25, 2022, https://www.nytimes.com/2022/01/25/opinion/inflation-economy.html

Inflation and the Power of Narrative

President Biden had what I’d call a human moment yesterday. After a Fox News correspondent shouted out a question about whether inflation would be a political liability, Biden could be heard muttering: “No, it’s a great asset. More inflation. What a stupid son of a bitch.” Seriously, can you blame him?

But why is inflation proving to be so much of a political liability? The idea that Americans are down on the economy because price increases have outstripped wage growth has hardened into conventional wisdom. And there’s obviously something to that. But the political reaction is disproportionate to the actual decline in real wages, and I’d argue that journalists are missing a large part of the story if they fail to realize that.

Let’s talk about the long view of wages and prices.

Here’s the annual rate of change in real wages — the rate of wage increase minus the rate of inflation — for blue-collar workers since the late 1970s:

Inflation and the Power of Narrative: Extended Excerpt Image 1


Obviously there was a huge decline following the 1979 oil shock. Perhaps less familiar is the fact that real wages fell for much of the Reagan era. In particular, in October 1984 — on the eve of the presidential election — real wages were 1.4 percent lower than they were a year earlier. In October 1988, they were down 0.6 percent. Yet, Republicans won both elections by large margins by running on the economy.

What about our current situation? The most commonly used wage numbers have been screwy during the pandemic, because of compositional effects. For example, average wages shot up in 2020, not because workers were getting big raises, but because low-wage workers were laid off in disproportionate numbers. So we need to look at estimates that are supposed to correct for these compositional effects, like the Atlanta Fed’s wage tracker:

Inflation and the Power of Narrative: Extended Excerpt Image 2


This tracker shows a sharp acceleration in wages; so does the official Employment Cost Index, although this index hasn’t yet been updated to reflect the past few months.

Still, there’s no question that inflation has outstripped wages over the past year. On the other hand, inflation was low in 2020, measured both by the Consumer Price Index and by the Fed’s preferred measure, the personal consumption expenditure deflator:

Inflation and the Power of Narrative: Extended Excerpt Image 3


So real wages rose last year. On a two-year basis, they’re probably down, but not by a lot. At the same time, we’ve had stellar job growth — and as I said, the combination of modestly declining real wages with a strong job market has actually been a winner for past presidents.

This time, however, consumer sentiment is extremely negative — almost as negative as it was in the late 1970s, when real wages were really plunging and unemployment was rapidly rising:

Inflation and the Power of Narrative: Extended Excerpt Image 4


What’s going on? Surely it’s the power of narrative. As many of us have noted, Americans are very down on the national economy, but relatively upbeat about their own personal financial situation:

Inflation and the Power of Narrative: Extended Excerpt Image 5


That is, their personal experience is pretty good but they’ve heard that things are terrible for other people.

A lot of this is partisanship. Democrats and Republicans used to have similar assessments of the economy, whoever was president. Now Republicans assess the economy as worse than it was in June 1980, when inflation was 14 percent and real wages were falling 6 percent a year.

Some of it also has to involve the way the media cover the economy. I know journalists hate hearing this, but if the way we report on events doesn’t affect public perceptions, what is the point of what we’re doing? And somehow Biden’s inflation, not Biden’s jobs boom, has come to dominate news coverage.

I’m not arguing that inflation isn’t a problem, nor am I doing a Phil Gramm and calling America a “nation of whiners.” I am saying that the remarkably negative public reaction to what by historical standards would at worst be considered mixed news is an important story in itself and deserves both some coverage and, perhaps, self-reflection on the part of those reporting on the subject.

Paul Krugman on what's happening with real wages, acceleration in compensation hasn’t yet offset inflation, on a two years basis wages are likely down, "...The most commonly used wage numbers have been screwy during the pandemic, because of compositional effects. For example, average wages shot up in 2020, not because workers were getting big raises, but because low-wage workers were laid off in disproportionate numbers. So we need to look at estimates that are supposed to correct for these compositional effects, like the Atlanta Fed’s wage tracker: This tracker shows a sharp acceleration in wages; so does the official Employment Cost Index, although this index hasn’t yet been updated to reflect the past few months. Still, there’s no question that inflation has outstripped wages over the past year. On the other hand, inflation was low in 2020, measured both by the Consumer Price Index and by the Fed’s preferred measure, the personal consumption expenditure deflator: So real wages rose last year. On a two-year basis, they’re probably down, but not by a lot...."

Ed Comment:What indices have we looked at in the past that purported to solve the compositional problem raise d by Krugman? What is that index saying now.

Steve Comment:“This is what the index looks like today Ed, so as of December the FRBA’s Wage tracker (Median wage growth, hourly data) was showing5%, CPI (I used non-core so including food and energy) printed at7.1%implying real wage growth of-2.1%I ran it back to 1997 so we could see several business cycles.”

  • Inflation
  • Comparisons
    • Historical
  • GDP
    • Business Cycle
  • Workforce
    • Wages/Income

Slowing Women's Labor Force Participation: The Role of Income Inequality

AI Summary. Labor force participation among married women with college degrees stopped rising after the early 1990s, a stall the authors attribute to a negative income effect from higher earnings among married men rather than to changes in fertility. The authors estimate this accounts for one-third of the gender wage gap among college graduates relative to trend.

Stefania Albanesi National Bureau of Economic Research
Date Posted:
January 31, 2022
Is Database:
Database

Higher earnings among married men led to a decline in their spouses’ workforce participation, a trend linked to rising income inequality, according to @StefaniaAlbanesi @nberpubs. @nberpub.

Did rising husbands' earnings stall college-educated wives' labor force participation?

Core argument: Labor force participation of married women with college degrees stopped rising after 1993, leaving a notable gap relative to single women, coinciding with a rise in income inequality.

The labor force participation of married women, particularly those with college degrees, has stalled since the early 1990s, coinciding with a rise in income inequality. This trend is linked to the "negative income effect," where higher earnings among married men led to a decline in their spouses' workforce participation. The participation rate for married women with college degrees stopped increasing after 1993, with a notable gap remaining compared to single women. The rise in top incomes for men increased the skill premium for this group, but not for married women, contributing to a widening gender wage gap. This phenomenon accounts for one-third of the gender wage gap among college graduates relative to trend. The decline in labor force participation growth was most pronounced for women married to men in the top 10% of the earnings distribution, indicating that changes in fertility are not the primary driver of this trend.

Takeaways by Macro Roundup® AI

  1. Labor force participation of married women with college degrees stopped rising after 1993, leaving a notable gap relative to single women, coinciding with a rise in income inequality.
  2. The stall is linked to a negative income effect, in which higher earnings among married men led to declines in their spouses' participation, accounting for one-third of the gender wage gap among college graduates relative to trend.
  3. The decline in labor force participation growth was most pronounced among women married to men in the top 10% of the earnings distribution, suggesting that changes in fertility are not the primary driver.

Intuitive NBER finds a relationship btw high earning husbands and well educated women’s propensity to work“…The entry of married women into the labor force and the rise in women’s relative wages are amongst the most notable economic developments of the twentieth century. The growth in these indicators was particularly pronounced in the 1970s and 1980s, but it stalled since the early 1990s, especially for college graduates. In this paper, we argue that the discontinued growth in female labor supply and wages since the 1990s is a consequence of growing inequality. Our hypothesis is that the growth in top incomes for men generated a negative income effect on the labor supply of their spouses, which reduced their participation and wages. We show that the slowdown in participation and wage growth was concentrated among women married to highly educated and high income husbands, whose earnings grew dramatically over this period. We then develop a model of household labor supply with returns to experience that qualitatively reproduces this effect. A calibrated version of the model can account for a large fraction of the decline relative to trend in married women’s participation in 1995-2005 particularly for college women. The model can also account for the rise in the gender wage gap for college graduates relative to trend in the same period…”

The basic story“…The entry of married women into the labor force and the rise in women’s relative earnings are amongst the most notable economic phenomena of the twentieth century (Goldin (2006)). These trends were particularly pronounced in the 1970s and 1980s, when full-year participation of married women grew from 38% in 1975 to a peak of 60% in 1996 and the male to female ratio in hourly wages dropped from 1.60 to 1.34. Since then, these indicators have stalled, as shown in figure 1. Moreover, this development is particularly pronounced for highly educated women. The labor force participation of married women with college degree and the gender wage gap of college workers saw no improvement since the early 1990s until the Great Recession. These observations are puzzling in light of the continued rise in women’s educational attainment relative to men and their entry into professional high-earning occupations…. We document a break in the trend for the labor force participation rate of married women in the early 1990s. The rate of labor force participation of married women increased by about 2 percentage points per year in the post war period up until this point, with a stronger growth for women with a college degree, converging rapidly to the participation rate of single women in the same education group. This convergence stopped in the early 1990s. The labor force participation rate for single women with less than college was approximately 5 percentage points higher than for married women in this education group in 1993-2007, whereas for women with college degree, the participation rate for single women remained 10 percentage points higher than for married women over the same period. The gap in labor force participation rate between single and married women dropped slightly during the Great Recession, mainly due to a decline in the participation rate of single women, and there was no further convergence after 2012, as the economy recovered. We then examine labor supply and wages of married women by their own and their husbands’ education, as well as their husbands’ income. We find that the decline in the growth of labor force participation of married women is primarily concentrated among those with a college husband and is positively related to husband’s income. Due to positive assortative matching, this channel disproportionally affected women with a college degree. Turning to wages, we find that the growth in top incomes for married men is associated with an increase in the skill premium for this group, whereas there was no comparable increase of the skill premium for married women. We also show that there was no difference in the skill premium by gender for single workers. To reinforce this observation, we examine the evolution of the gender wage gap by educational attainment for married workers. We find that the gender wage gap completely stopped converging for workers with a college degree in the early 1990s, though it declined somewhat after the Great Recession. For non-college workers, the gender wage gap continued closing until the early 2000s, even if the participation of married high school women was also flat over this period….”

This phenomenon accounts for 1/3 of gender wage gap (relative to trend) among college graduates, “…We calibrate the model to match key empirical moments in 1980, such as the distribution of household income and spousal earnings and wives’ labor force participation by household type. We conduct experiments to gauge the quantitative relevance of our hypothesis. Specifically, we increase the exogenous common component of the skill premium to match the observed rise in the male skill premium in the data in the 1990s. Our findings suggest that the rise in the skill premium can account for more than half of the decline relative to trend in married women’s participation in 1995-2005, and more than two thirds of the decline for college women. The model can also account for one third of the rise in the gender wage gap for college graduates relative to trend in the same period….”

The supporting Evidence

“…Figure 2 illustrates the joint evolution of labor force participation for married women and the gender wage gap by educational attainment.As shown in Panel (A), the labor force participation of married women with a college degree has mostly stalled since the early 1990s, with a small transitory increase for college workers during the Great Recession. For high school women, the growth in participation drops substantially starting in the early 1990s, but is still mostly positive. High school women also experience a temporary surge in participation during the Great Recession, after which their participation declines. Albanesi (2019) shows that female labor supply displays a strong countercyclical component, interpreted as resulting from household insurance against the risk of earnings loss of their male partners, who are more sensitive to business cycle risk. Ellieroth (2019) finds that temporary rise in female labor force participation during recessions results from a decline in the employment to non-participation flow of married women. We focus most of our analysis on the years previous to the Great Recession, to avoid the effect of this major cyclical event. Turning to the gender wage gap, measured as the male to female ratio of hourly earnings, Panel (A) shows that for college workers it decreased rapidly until 1992 and it stalled during the 1990s and early 2000s, only reaching values lower than those in 1992 after the Great Recession. A similar but less stark pattern occurred for high school workers, as shown in Panel (B). As shown in figure 3, panel (A), the flattening of labor force participation starting in the early 1990s is limited to married women. Participation of single women has been mostly stable throughout the sample period. Panel (B) shows the labor force participation rates of married women by age groups. One striking observation from these figures is that prime age married women have lower participation rates than older women, suggesting that the aging of the population is not related to this phenomenon…”

Slowing Women's Labor Force Participation: The Role of Income Inequality: Extended Excerpt Image 1


“…Husband’s EarningsFigure 4 shows the labor force participation rate of women by their husband’s decile in the male earnings distribution. The wives of higher earning husbands are much less likely to work than the wives of lower earning husbands….”

Slowing Women's Labor Force Participation: The Role of Income Inequality: Extended Excerpt Image 2


“…Figure 5 shows the labor force participation rates of married women, by household education types. There is a steep increase in participation until 1993, and after that there is a change in trend for all married women, regardless of education level. However, the slowdown is more pronounced for married women with a college degree, since the slope during the previous decades was steeper than for women without college. The participation of women married to college husbands stopped increasing after 1993…”

Slowing Women's Labor Force Participation: The Role of Income Inequality: Extended Excerpt Image 3


“…Figure 6 shows the evolution of the skill premium, measured as the ratio of average hourly wages of college to non-college workers, where as in the rest of the analysis, we restrict attention to full-time, full-year workers. The rise in the skill premium since the early 1990s until the Great Recession was greater for male than for female workers. The skill premium rose by 19% from 1:52 to 1:82 between 1991 and 2008 for men, while it only increased by 9% from 1:5 to 1:63 for women over the same period. This difference accelerated from the mid 1990s on, and resulted in a growing gender gap in skill premium since 1993 until the Great Recession. Even though the gender gap in skill premium decreased during the Great Recession, a positive gap still remains…”

Slowing Women's Labor Force Participation: The Role of Income Inequality: Extended Excerpt Image 4


“…We show that the evolution of the skill premium after the mid 1990s derives from a rise in compensation to skilled workers, as opposed to real wage loses of unskilled workers. Figure 7 shows the evolution of real average hourly wages by percentile of the wage distribution for full-time, full-year male workers (panel A) and for full-time, full-year female workers (panel B). The average real wages of male workers in the bottom half of the wage distribution fell since the beginning of the sample until the mid 1990s, and remained mostly stable since then. The wages for male workers at the top of the distribution increased since the early 1990s. For female workers, average wages increased over the entire sample period in most deciles, except the bottom one. The most notable change happening around the early 1990s comes from an increase in the average wages of the top earners…”

Slowing Women's Labor Force Participation: The Role of Income Inequality: Extended Excerpt Image 5


Fertility

“..We first consider changes in fertility. Women with children are less likely to participate in the labor force, and hence increases in fertility could reduce labor force participation of married women. However, we can rule out this explanation as the only cause of the observed behavior of female labor force participation. As shown in figure 9, the decline in the growth rate of labor force participation was similar for women with and without children. Most importantly, the evolution in the labor force participation of married women depends on the characteristics of their spouse, since the decline in the rate of growth of participation was largest for women married to men in the 90th percentile of the earnings distribution, followed by those married to men in the 50thpercentile and in the 10th percentile. We conclude from this pattern that changes in fertility are not the main driving force behind the observed change in participation trends….”

Slowing Women's Labor Force Participation: The Role of Income Inequality: Extended Excerpt Image 6


Stefania Albanesi and María José Prados, "Slowing Women's Labor Force Participation: The Role of Income Inequality," National Bureau Of Economic Research, January 2022, https://www.nber.org/papers/w29675

  • College
  • Comparisons
    • Gender
  • Workforce
    • Education
    • Family/Marriage
    • Gender Pay Gap
    • Inequality
    • Wages/Income

Superstar Returns

AI Summary. Housing price appreciation in "superstar" cities has exceeded that of other regions by up to 60 basis points annually over 150 years, but higher rental yields outside these cities—about 160 basis points more per year—leave superstar cities with a negative total return premium of roughly 100 basis points annually.

Francisco Amaral Federal Reserve Bank of New York
Date Posted:
January 31, 2022
Is Database:
Database

According to @FederalReserveBank of New York, superstar cities have seen higher housing price appreciation over 150 years, but total returns are lower due to higher rent returns in non-superstar cities.

Do superstar cities deliver lower total housing returns than other regions?

Core argument: Housing in "superstar" cities has delivered a negative total return premium of roughly 100 basis points per year over the past 150 years, as a price-appreciation edge of up to 60 basis points annually is outweighed by rent returns about 160 basis points lower.

Over the past 150 years, housing price appreciation in "superstar" cities has been higher, with an average annual difference of up to 60 basis points compared to other regions. However, total returns in non-superstar cities have surpassed those in superstar cities due to significantly higher rent returns, estimated at 160 basis points more per annum. This results in a negative return premium of approximately 100 basis points annually for superstar cities. The higher returns outside superstar cities are seen as compensation for greater risk, as these areas exhibit higher covariance with income growth and lower liquidity. Despite the allure of rapid price appreciation, the long-term total returns in superstar cities are lower, with investments in these areas earning only about half the cumulative return compared to national portfolios over the past 70 years. Rent returns, representing about 67% of total housing returns, have been the main driver of this trend.

Takeaways by Macro Roundup® AI

  1. Housing in "superstar" cities has delivered a negative total return premium of roughly 100 basis points per year over the past 150 years, as a price-appreciation edge of up to 60 basis points annually is outweighed by rent returns about 160 basis points lower.
  2. Rent returns account for about 67% of total housing returns, and investments in superstar cities earned only about half the cumulative return of national portfolios over the past 70 years.
  3. The higher returns outside superstar cities are interpreted as compensation for greater risk, as those areas show higher covariance with income growth and lower liquidity.

FRBNY research suggests "Superstar" real estate is safe, "...We study long-term returns on residential real estate in twenty-seven “superstar” cities in fifteen countries over 150 years. We find that total returns in superstar cities are close to 100 basis points lower per year than in the rest of the country. House prices tend to grow faster in the superstars, but rent returns are substantially greater outside the big agglomerations, resulting in higher long-run total returns.The excess returns outside the superstars can be rationalized as a compensation for risk, especially for higher covariance with income growth and lower liquidity. Superstar real estate is comparatively safe...."

Core finding, ".... Our central finding is that, over the long-run, superstar cities have witnessed lower total returns on residential real estate than other parts of the same country. With 5.75 log points per year, average total returns have been smaller compared to the national average of 6.68 log points. In other words, an investment in superstar cities comes with a negative return premium of approximately 90 basis points annually relative to national returns (including the superstars) and about 100 basis points lower than the rest of the country (excluding the superstars).These return differences are a robust feature of the data across countries and time periods, and statistically highly significant. A negative return premium of around 1 percentage point accumulates to substantial return differences in the long run. For instance, an investment in the superstar portfolio earned only about half the cumulative return than the national portfolio over the past 70 years..... We confirm that house price appreciation tends to be higher in superstar cities than in the rest of the country. Over the long run, we estimate an average annual difference of up to 60 basis points annually between our 27 superstars and other parts of the country (albeit with mixed statistical significance).At the same time, rent returns are considerably higher outside the large cities. Our point estimate puts the mean rent return differential at 160 basis points per annum. The differences in rent-price ratios exceed the differences in capital gains in the long run and lead to lower total housing returns…”

Why would this be the case, "...Why are housing returns persistently lower in large cities when compared to the rest of the economy?Our key finding can be rationalized in a standard asset pricing framework where excess returns are a compensation for risk. Observable long-run return differences between different assets must be attributable to differences in risk, or to violations of standard assumptions (such as persistent behavioral biases in expectations). Suppose that everything that makes a national superstar city - its diversified economy, its large market, its amenities, the international demand - also makes it a safer place as an investment. A consequence would be that the present value of future housing services will be subject to less risk so that buyers are willing to pay a higher price and accept a lower return for housing investments in large agglomerations. In turn, higher returns outside the superstars would be a compensation for higher risk. For remote locations to attract capital, they have to offer higher returns..."
Evidence

"... The left-hand panel of Figure 4 shows average log housing returns for the full time period and the right-hand panel for the period post 1950. City-level total housing returns have been in the four to six log point range per year, with some differences across the cities in our sample. Toronto, Amsterdam, Gothenburg, Tokyo and Sydney are the cities with the highest long-run returns. The panel on the right shows that housing returns have been higher in the post 1950 period and reached about 6 log points...."

Superstar Returns: Extended Excerpt Image 1


"... Figure 5 plots the distribution of annual log real housing returns for the pre- and post-1950 period. While housing returns were on average lower in the pre-1950 period, they also displayed a higher standard deviation than in the post-1950 period, apparent in a thicker left-tail in the pre-1950 period. This does not come as a surprise, considering that this period featured two World Wars, the Great Depression and large variations in housing policies. Post-1950 superstar returns were close to 2 percentage points higher with a lower standard deviation..."

Superstar Returns: Extended Excerpt Image 2


"...Panel (a) of Figure 6 plots 10-year lagged moving averages of log real housing returns averaged over the 27 national superstars over time. Housing returns dropped sharply around the World Wars as house prices dropped. The effect is particularly pronounced after World War I, as many governments introduced rent freezes in high inflation environments as discussed by Pooley (1992) and White, Snowden, and Fishback (2014)...Higher mean annual total returns in the post-1950 period are driven by substantially higher capital gains. While mean annual capital gains were, on average, 2.95 log points higher in the post-1950 period when compared to the pre-1950 period, mean annual rent returns were, on average, 1.22 log points lower. Panel (b) ofFigure 6 shows the difference in means between the post- and pre-1950 period by city.Across the majority of cities in our sample, mean capital gains were substantially higher in the post-1950 period, while mean rent returns were lower. The increase in mean capital gains is mostly driven by the largely negative capital gains during the war periods. Kuvshinov and Zimmermann (2020) discuss that the fall in rent returns mirrors the secular decline in the yield component of stock returns over the same period. Rent returns represent approximately 67% of total housing returns over the last 150 years. Panel (a) of Figure 7 shows that, although the relative share of rent returns has been quite volatile over time, it has remained by and large the main contributor to total housing returns. In fact, for all cities in our sample, with the exception of Milan, rent returns represent more than 50% of total housing returns in the long-run. This result is in line with the findings in Jord`a et al. (2019) and Demers and Eisfeldt (2021)...."

Francisco Amaral, Martin Dohmen, Sebastian Kohl, and Moritz Schularick, "Superstar Returns," Federal Reserve Bank Of New York, December 2021, https://www.newyorkfed.org/research/staff_reports/sr999

Superstar Returns: Extended Excerpt Image 3

Superstar Returns: Extended Excerpt Image 4


"...To guide the reader through the results, we start with an example of an undisputed national superstar city for which we have high quality data: Paris. Our data show that an investor who bought an apartment in Paris in 1950 realized an average yearly capital gain of 4.85 log points over the period until 2018. The annual rent return in Paris was 3.66 log points on average, resulting in a healthy total annual return of 8.33 log points. This means, for instance, that investments in Parisian residential real estate beat investments in the French equity market by a substantial margin, even on an unleveraged basis. How does this investment return compare to the rest of France? According to Jord`a et al. (2019), an investment in the French national housing portfolio over the same 70-year period saw annual capital appreciation of 4.48 log points, somewhat lower than Paris. As Paris is a substantial part of the French national portfolio, the difference must be driven by other regions in France, in which house prices have risen about half a percentage point less per year than in Paris. However, the picture changes when we bring in rent returns, which were substantially higher in the rest of the country (5.06 vs. 3.66) and more than offset Paris’ advantage with respect to capital gains. Total housing returns were 9.15 per annum for the rest of France and thus about 85 basis points per year higher than in Paris. Despite higher capital appreciation, the superstar city Paris underperformed the rest of France with respect to total returns on housing investment...."

Superstar Returns: Extended Excerpt Image 5


"... Figure 9 shows that the city-level portfolio increased much faster in value than the national one, because house prices in the superstar cities appreciated more, namely by a factor of 6.2 compared to 4.7 for the national portfolio.11 Once again, the picture changes when rent returns are added in the right panel of Figure 9. Assuming reinvestment of rent returns, the national portfolio outperforms the city-level portfolio by a large margin. From 1950 to 2018, the cumulative return on a national housing portfolio has been twice as high as the returns in the superstars...."

Superstar Returns: Extended Excerpt Image 6

  • Business Cycle
  • Comparisons
    • Historical
  • GDP
    • Growth

Wednesday, February 2, 2022

The Power Law: Venture Capital and the Making of the New Future

AI Summary. Median pre-money valuations for venture-capital-backed firms rose from $5m to $20m at early stages and from $50m to $200m at late stages, while the total value of such firms expanded substantially. Venture returns follow a power law, with a small number of successful investments generating most of the gains.

Sebastian Mallaby New York: Penguin Press
Date Posted:
February 2, 2022
Is Database:
Database

VC valuation surge signals market transformation: Early-stage rises 4x ($5m to $20m), late-stage 4x ($50m to $200m) 2004-2020. Trend reflects VC’s expanding role in tech innovation/market leadership.

How much have venture-backed startup valuations risen?

Core argument: Median pre-money valuations for early-stage venture-backed firms rose from $5m in 2004 to $20m in 2020, while late-stage valuations climbed from $50m to $200m over the same period.

From 2004 to 2020, median pre-money valuations for venture capital (VC) backed firms saw significant growth across various stages, reflecting the increasing value placed on innovation-driven companies. Early-stage valuations rose from $5m to $20m, while late-stage valuations surged from $50m to $200m, highlighting a robust appetite for risk and potential high returns. This trend underscores the power law dynamics in VC, where a small number of successful investments drive the majority of returns. Between 1992 and 2019, the total value of VC-backed firms expanded dramatically, illustrating the sector's critical role in shaping the modern economy. The data suggests that VC investment is a key driver of economic growth, fostering technological advancements and creating new market leaders.

Takeaways by Macro Roundup® AI

  1. Median pre-money valuations for early-stage venture-backed firms rose from $5m in 2004 to $20m in 2020, while late-stage valuations climbed from $50m to $200m over the same period.
  2. The total value of venture-backed firms expanded substantially between 1992 and 2019.
  3. Venture capital returns follow power law dynamics, in which a small number of successful investments generate the majority of returns.

Sebastian Mallaby, The Power Law: Venture Capital and the Making of the New Future(New York: Penguin Press, 2022)

  • Business Cycle
  • GDP
    • Financial Markets
    • Growth
  • Productivity
    • Incentives/Risk-Taking
    • Investment

Examining the Spike in Murders

AI Summary. The U.S. murder rate reached 6.9 per 100,000, the highest since a rate of 7.4 per 100,000 in the mid-1990s, following a 27% one-year spike, with murders and violent crime rising while other crimes declined. Black Americans were 8x more likely than white Americans to be murder victims.

German Lopez New York Times
Date Posted:
February 2, 2022
Is Database:
Database

Murder Rate In 2021, 6.9 per 100,000 Highest Since 1996 7.4 per 100,000.

How high has the murder rate risen, and who is affected?

Core argument: The U.S. murder rate reached 6.9 per 100,000 in 2021, the highest since 1996's 7.4, following a 27% spike in 2020 that returned homicide rates to mid-1990s levels.

In 2021, the U.S. murder rate reached 6.9 per 100,000, the highest since 1996's 7.4 per 100,000, driven by a 27% spike in 2020. This surge returned homicide rates to mid-1990s levels, with murders and violent crime rising while other crimes declined. The increase disproportionately affected Black Americans, who were eight times more likely to be murder victims than white counterparts. Key factors include the pandemic's disruption of social services, changes in policing post-George Floyd protests, and a surge in gun purchases. These elements may have interacted, exacerbating violence. Solutions involve both short-term focused policing and long-term socioeconomic improvements, such as preschool programs and gun control measures. Addressing these issues requires public and legislative support to reverse the trend and prevent future spikes.

Takeaways by Macro Roundup® AI

  1. The U.S. murder rate reached 6.9 per 100,000 in 2021, the highest since 1996's 7.4, following a 27% spike in 2020 that returned homicide rates to mid-1990s levels.
  2. Black Americans were eight times more likely than white Americans to be murder victims, and murders and violent crime rose while other categories of crime declined.
  3. Cited factors in the murder increase include the pandemic's disruption of social services, changes in policing after the George Floyd protests, and a surge in gun purchases, with proposed remedies spanning focused policing, preschool programs, and gun control.

"... In 2020, murders in the United States spiked more than 27 percent — the largest percentage increase in at least six decades. Last year, murders went up again. Those murders resulted in the deaths of thousands more Americans, and returned the U.S. to homicide rates not seen since the mid-1990s. (While murders and violent crime overall are up, other crimes are down.)...Most homicide victims are Black. And Black Americans were eight times as likely to be murder victims in 2020 as their white counterparts.... the murder rate last year was higher than at any point since 1996, based on data from large U.S. cities collected by the crime analyst Jeff Asher.... there are three broad explanations...typically point to... The pandemic...A weakness for this theory is timing: The murder spike took off in May and June 2020, months after Covid began to spread in the U.S. Other countries didn’t experience similar spikes during the pandemic. But that doesn’t rule out the pandemic’s role. There could have been something specific to America’s pandemic response that led to more deadly violence, which could have taken months to emerge.... Changes in policing....Police officers, scared of being caught in the next viral video, may have pulled back on proactive anti-violence practices. More of the public lost confidence in the police, possibly reducing the kind of cooperation needed to prevent murders....he timing supports this theory, with homicides rising unusually quickly shortly after George Floyd’s murder and the ensuing protests. Killings also spiked in 2015 and 2016, after protests over policing during those years.... More guns. Americans bought many more guns in 2020 and 2021 than they did in previous years. The guns purchased in 2020 also seemed to be used in crime more quickly than firearms bought in previous years. And Americans seemed more likely to carry guns illegally in 2020. In short: Americans had more guns, and were possibly more likely to carry and use them...."

German Lopez, "Examining the Spike in Murders,"New York Times, January 18, 2022, https://www.nytimes.com/2022/01/18/briefing/crime-surge-homicides-us.html

Examining the Spike in Murders

In 2020, murders in the United States spiked more than 27 percent — the largest percentage increase in at least six decades. Last year, murders went up again.

Those murders resulted in the deaths of thousands more Americans, and returned the U.S. to homicide rates not seen since the mid-1990s. (While murders and violent crime overall are up, other crimes are down.)

The effects are felt unequally across the country. Shootings are historically concentrated in impoverished, minority communities. In a typical U.S. city, a small segment of neighborhoods account for most of the violence.

Most homicide victims are Black. And Black Americans were eight times as likely to be murder victims in 2020 as their white counterparts.

In the hardest-hit communities, gun violence is so common that it’s become a part of life. “I hear gunshots every day,” Angela Hernandez-Sutton, who lives on Chicago’s West Side, told The Sun-Times. “I just listen to hear where they’re coming from, then move to the front or the back of the house.”

Such daily experiences have gotten relatively little national attention. Anna Harvey, a public safety researcher at New York University, told me the concentration of violence probably explains why. White and affluent Americans have been less directly affected by the murder spike, but they’re also more likely to influence what news outlets cover and what politicians talk about.

The violence remains a grave example of racial inequality in the U.S. We have real solutions, with strong evidence, to deal with the problem, experts said. But those solutions need support from the public and lawmakers to go anywhere.

Why murders spiked

From 1991 to 2014, America’s murder rate plummeted by more than half. Experts still don’t agree on why that happened. Among the many possibilities: mass incarceration, changes in policing, reduced exposure to lead and video games keeping more young men occupied.

But the murder rate last year was higher than at any point since 1996, based on data from large U.S. cities collected by the crime analyst Jeff Asher.

Examining the Spike in Murders: Extended Excerpt Image 1


While experts are also divided on why murders spiked in 2020 and 2021, there are three broad explanations they typically point to:

The pandemic. Covid disrupted every aspect of life in the past two years. Social services and supports that help keep crime down vanished overnight. Schools could no longer keep unruly teens safe and distracted. A broader sense of disorder and chaos could have fueled a so-called moral holiday, in which people disregard laws and norms.

A weakness for this theory is timing: The murder spike took off in May and June 2020, months after Covid began to spread in the U.S. Other countries didn’t experience similar spikes during the pandemic.

But that doesn’t rule out the pandemic’s role. There could have been something specific to America’s pandemic response that led to more deadly violence, which could have taken months to emerge.

Changes in policing. The fallout from the 2020 racial justice protests and riots could have contributed to the murder spike. Police officers, scared of being caught in the next viral video, may have pulled back on proactive anti-violence practices. More of the public lost confidence in the police, possibly reducing the kind of cooperation needed to prevent murders. In extreme circumstances, the lack of confidence in the police could have led some people to take the law into their own hands — in acts of street or vigilante violence.

The timing supports this theory, with homicides rising unusually quickly shortly after George Floyd’s murder and the ensuing protests. Killings also spiked in 2015 and 2016, after protests over policing during those years.

More guns. Americans bought many more guns in 2020 and 2021 than they did in previous years. The guns purchased in 2020 also seemed to be used in crime more quickly than firearms bought in previous years. And Americans seemed more likely to carry guns illegally in 2020. In short: Americans had more guns, and were possibly more likely to carry and use them.

Research generally shows that where there are more guns, there is more gun violence.

These three factors could have also played into each other. The pandemic might have driven more people to violence, but the police might have been able to prevent at least some of that violence if they had remained proactive or had worked better with the public. Without so many guns, what violence did occur could have ended up less deadly.

“All three played a role,” Richard Rosenfeld, a criminologist at the University of Missouri-St. Louis, told me. “What’s difficult is to assign priority to one compared to the others.”

Solutions

I plan to write more about the potential solutions to violence in future newsletters. But I will outline a few here. Some are short-term fixes while others are for the long term.

In the short term, there’s solid evidence for policing — specifically, more focused policing, targeting the people and places most likely to be violent. With some of these strategies, the police work with other social services to lift violent perpetrators out of that life.

“I’m as much a reformer as anybody, but the short-term solutions around high violence are mainly punitive,” John Roman, a researcher at the University of Chicago, told me. “There’s no getting around that.”

In the long term, experts support a range of solutions that enrich both individuals’ and communities’ socioeconomic standing over time; they include preschool programs, summer job initiatives, raising the school dropout age, greening of vacant lots, more streetlights and expanded drug treatment. There’s also good evidence for gun control and higher alcohol taxes.

The short-term and long-term categories aren’t in conflict — and can complement each other. Both are likely necessary to reverse the murder spike and prevent future increases.

  • Poverty/Crime
  • Workforce


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