Edward Conard

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Wednesday, May 27, 2020

Declining worker power and American economic performance

AI Summary. The authors attribute the roughly 5 percentage point decline in labor's share of value added in the US nonfinancial corporate sector to declining worker bargaining power rather than monopoly power. They point to weaker unions, a lower real minimum wage, shareholder pressure to cut labor costs, and competition from technology and low-wage countries.

Anna Stansbury National Bureau of Economic Research
Date Posted:
May 27, 2020
Is Database:
Database

Declining worker power, not monopoly power, has reduced labor share in the US since the 1980s, with a 5% decline in worker profits as a share of value added from 1987-2016.

Does declining worker bargaining power explain the falling labor share?

Core argument: The labor share in the US nonfinancial corporate sector fell by roughly 5 percentage points of value added over 1987–2016, a decline attributed to declining worker power rather than monopoly power.

The decline in worker power, rather than monopoly power, has significantly impacted the labor share in the US economy. Since the 1980s, the share of profits going to workers in the nonfinancial corporate sector has decreased by approximately 5 percentage points of value added from 1987-2016. This decline is attributed to institutional changes like reduced unionism and a lower real minimum wage, increased shareholder activism leading to labor cost cuts, and heightened competition from technology and low-wage countries. These factors have weakened workers' bargaining power, contributing to wage stagnation and increased inequality. The most affected sectors include manufacturing, wholesale trade, transportation, and utilities, which have seen substantial reductions in worker power. This trend highlights the need for policy interventions to address the imbalance between labor and capital in the US.

Takeaways by Macro Roundup® AI

  1. The labor share in the US nonfinancial corporate sector fell by roughly 5 percentage points of value added over 1987–2016, a decline attributed to declining worker power rather than monopoly power.
  2. Reduced unionism, a lower real minimum wage, shareholder activism pushing labor cost cuts, and heightened competition from technology and low-wage countries are identified as forces weakening workers' bargaining power.
  3. Manufacturing, wholesale trade, transportation, and utilities are the sectors most affected by reductions in worker power, a decline linked to wage stagnation and rising inequality.

"...Rising profitability and market valuations of US businesses, sluggish wage growth, and reduced unemployment and inflation, have defined the macroeconomic environment of the last generation - especially the period of recovery from the financial crisis. This paper offers a unified explanation for these phenomena based on reduced worker power, and argues that the declining worker power exploration is both most compelling on scientific grounds and is most usefully prescriptive for policy. In particular we present a variety of evidence that declining worker power explains more than increases in monopoly or monopsony power....Three broad shifts are behind this decline in worker power. First, institutional changes, as the policy environment has become less supportive of worker power by reducing the incidence of unionism and the credibility of unionism or other organized labor threats, and as the real value of the minimum wage has fallen. Second, changes within firms, as the increase in shareholder power and shareholder activism has led to pressures on companies to cut labor costs, resulting in wage reductions within firms and the “fissuring” of the workplace as companies increasingly outsource and subcontract labor (Weil 2014). And third, changes in economic conditions, as increased competition for labor from technology or from low-wage countries has reduced workers’ relative bargaining power...In this paper, we argue that a decline in worker power...by worker power we mean workers' ability to increase their pay above the level that would prevail in the absence of such bargaining power..... not a rise in monopoly or monopsony power, nor technological developments, has been the major structural change responsible for these phenomena.....Finally, we note two broad implications of our arguments. One of the puzzles highlighted by a number of observers is that technological change and globalization are ubiquitous but the extent of increases in inequality - both between capital and labor incomes, and within labor incomes - differ substantially across countries. Our hypothesis which emphasizes the relative power of labor and capital fits this fact, given far more empowered shareholders and weaker unions in the U.S. than in the rest of the industrial world. Further study of the cross-country trends in labor shares, profitability and valuation, the NAIRU, and worker power would be valuable...."

Declining worker power and American economic performance: Extended Excerpt Image 1


Anna Stansbury and Lawrence H. Summers, "Declining worker power and American economic performance," National Bureau Of Economic Research, May 2020, https://www.nber.org/papers/w27193

Just an FYI, NBER just published research Summers/Stansbury presented @ BPEA (which we looked at when it was released). Paper implies that the increase in wage inequality/wage stagnation is a function of an erosion of worker power not monoploy power. They use "worker power" to mean the majority of a firms workers (excluding executives) ability to increase their pay above the level that would prevail in the absence of such bargaining power They found the profits going to workers haven fallen since the 1980s, by ~ 5 percentage points of value added in the nonfinancial corporate sector over 1987-2016 (Figure 8) which explain the entire overall decline of labor share. Overall the majority of the decline in aggregate labor share was driven by manufacturing, wholesale trade, transportation, and utilities the same industries with big falls in worker power

Ed Comment:Ok to file 9with these comments) but I’ll have to take a closer look. Seems like it would be hard to attribute changes to one thing or another. I’ll have to see how they do it. I believe that if you flood the market with cheaper labor, whether through automation (substitute), low-skilled immigration, offshoring and high unemployment/low participation, labor’s bargaining power will go down. Whose to blame for that?! When they say labor can no longer organize and earn monopoly rents, that merely means they used to earn undeserved monopoly rents through unionization and now they can’t. Who paid for high auto union wages—consumers through higher car prices and consumers and investors through lower volume. I don’t see why it would lower ROI (until lower-cost offshore alternative become available and pensions bankrupt them). Notwithstanding that, their logic still seems specious. They argue: Overall the majority of the decline in aggregate labor share was driven by manufacturing, wholesale trade, transportation, and utilities the same industries with big falls in worker power. But those aren’t the industries with: "...Rising profitability and market valuations. I don’t see how you can link the two if they don’t link at the industry level.

  • Historical
  • Comparisons
    • Sector
  • GDP
    • Trade (not deficits)
  • Workforce
    • Unemployment/Participation
    • Wages/Income

Stansbury and Summers on the declining bargaining power of labor

AI Summary. Stansbury and Summers argue labor's bargaining power is declining, while Tyler Cowen counters that the key development is management's improved ability to measure individual workers' productivity, which he says has widened wage dispersion in favor of a minority of highly productive workers. Cowen argues easier unionization would not address this.

Tyler Cowen Marginal Revolution
Date Posted:
May 27, 2020
Is Database:
Database

Tyler Cowen On Summers/Stansbury “Labor’s Share Is Not Really Down…Rognlie found….Labor’s Share Went To Housing”.

Is declining labor bargaining power or better productivity measurement driving wage dispersion?

Core argument: Stansbury and Summers argue that labor's bargaining power is declining, while Tyler Cowen counters that the decisive change is management's improved ability to measure the marginal product of labor.

While Stansbury and Summers argue that labor's bargaining power is declining, Tyler Cowen suggests that the key development is management's ability to measure the marginal product of labor more precisely. This shift has led to increased wage dispersion, particularly benefiting a minority of highly productive workers. Cowen posits that labor's share is not truly down when considering the returns to super-talented labor/owners/capitalists who start their own companies. This perspective challenges the notion that easier unionization could address the issue, as the core problem lies in the actual productivity distribution among workers.

Takeaways by Macro Roundup® AI

  1. Stansbury and Summers argue that labor's bargaining power is declining, while Tyler Cowen counters that the decisive change is management's improved ability to measure the marginal product of labor.
  2. Cowen argues that more precise measurement of worker productivity has widened wage dispersion, with a minority of highly productive workers capturing the gains.
  3. Cowen posits that labor's share is not truly down once returns to super-talented labor, owners, and capitalists who start their own companies are counted, so easier unionization would not address the underlying productivity distribution.

Tyler Cowen on new Summers/Stansbury (He citesHuman Capitalistas part of his critique of their view of the labor share):“…There is a good deal of critical thinking about how different macroeconomic trends fit together, and a willingness to consider disconfirming evidence, so I do recommend you read through this one…. Rather than labor losing bargaining power, I think of the key development as “management measuring the marginal product of labor more precisely.”Admittedly that does lower the bargaining power of the majority of workers, given the 20/80 rule, or whatever you think the proper proportions are (Stansbury and Summers themselves presumably are underpaid, but in general wage dispersion has been going up in high-skilled sectors). A minority of highly productive workers have much more bargaining power than they did before, which doesn’t quite fit the “lower bargaining power per se” hypothesis. And under my interpretation, easier unionization may not be much of a solution, since the problem here is the actual reality of who produces what. Consistent with my view, labor’s share isnot really downif you consider the super-talented labor/owners/capitalists who start their own companies. That is a return to labor as well….”

Tyler Cowen, "Stansbury and Summers on the declining bargaining power of labor,"Marginal Revolutions, May 27, 2020, https://marginalrevolution.com/marginalrevolution/2020/05/stansbury-and-summers-on-the-declining-bargaining-power-of-labor.html

  • Wages/Income
  • Productivity
    • Workforce Reorganization
      • High vs Low Skill

The Coming Productivity Boom: Transforming the Physical Economy with Information

AI Summary. Digital industries have posted 2.7% annual productivity growth while receiving 70% of private-sector information technology investment, whereas physical industries — 75% of U.S. private-sector employment and 70% of GDP — grew just 0.7% annually with a 30% share. The authors argue raising IT investment in physical industries could produce a productivity boom.

Michael Mandel and Bret Swanson Technology CEO Council
Date Posted:
May 27, 2020
Is Database:
Database

Physical labor-oriented firms have invested less in information technology and have only improved productivity 0.7% per year.

Can more IT investment in physical industries spark a productivity boom?

Core argument: Digital industries posted 2.7% annual productivity growth over 15 years, against 0.7% annually in physical industries.

Over the past 15 years, productivity growth in digital industries has been robust at 2.7% annually, driven by significant investments in information technology, which account for 70% of all private-sector IT investments. In contrast, physical industries, representing 75% of U.S. private-sector employment and 70% of GDP, have seen only a 0.7% annual productivity increase due to their limited 30% share of IT investments. This disparity highlights the potential for a productivity boom if physical industries increase their IT investments, potentially transforming economic growth patterns. The current imbalance underscores the need for strategic investment shifts to enhance productivity in sectors that have traditionally lagged behind their digital counterparts.

Takeaways by Macro Roundup® AI

  1. Digital industries posted 2.7% annual productivity growth over 15 years, against 0.7% annually in physical industries.
  2. Digital industries account for 70% of all U.S. private-sector IT investment, while physical industries receive 30% despite employing 75% of private-sector workers and producing 70% of GDP.
  3. The analysis argues that increased IT investment in physical industries could produce a productivity boom that reshapes U.S. economic growth patterns.

“…. At 2.7%, productivity growth in the digital industries over the last 15 years has been strong. On the other hand, productivity in the physical industries grew just 0.7% annually, leading to anemic economic growth over the last decade. The digital industries, which account for around 25% of U.S. private-sector employment and 30% of private-sector GDP, make 70% of all private-sector investments in information technology. The physical industries, which are 75% of private-sector employment and 70% of private-sector GDP, make just 30% of the investments in information technology…”

Michael Mandel and Bret Swanson, “The Coming Productivity Boom: Transforming the Physical Economy with Information,” Technology CEO Council, March 2017, http://entropyeconomics.com/wp-content/uploads/2017/03/The-Coming-Productivity-Boom-Transforming-the-Physical-Economy-with-Information-March-2017.pdf

  • Productivity
    • Intangibles
    • Investment
  • Comparisons
    • Historical
    • Other Comparison
    • Sector

Marry Your Like: Assortative Mating and Income Inequality

AI Summary. US Census Bureau data indicate a rise in positive assortative mating, with people increasingly marrying partners of similar socioeconomic background, a pattern that raises household income inequality. Under random partner matching, the Gini coefficient measuring income inequality would have been 0.34 rather than 0.43.

Jeremy Greenwood, Nezih Guner, Georgi Kocharkov, and Cezar Santos National Bureau of Economic Research
Date Posted:
May 27, 2020
Is Database:
Database

Assortive mating drives income inequality. In 2005, if partner matching was random, US Gini would have fallen from .43 to .34 @JeremyGreenwood @nberpub.

Assortive mating drives income inequality. In 2005, if partner matching was random, US Gini would have fallen from .43 to...

Does marrying partners with similar backgrounds raise household income inequality?

Core argument: Random partner matching in 2005 would have lowered the US household income Gini coefficient from 0.43 to 0.34, according to calculations using US Census Bureau data.

Data from the US Census Bureau indicates a rise in positive assortative mating, where individuals with similar socioeconomic backgrounds increasingly marry each other. This trend significantly impacts household income inequality. In 2005, if partner matching had been random, the Gini coefficient, a measure of income inequality, would have decreased from 0.43 to 0.34, highlighting the role of assortative mating in exacerbating inequality. The high level of married female labor-force participation in 2005 further underscores this effect, as dual-income households amplify income disparities.

Takeaways by Macro Roundup® AI

  1. Random partner matching in 2005 would have lowered the US household income Gini coefficient from 0.43 to 0.34, according to calculations using US Census Bureau data.
  2. US Census Bureau data indicate a rise in positive assortative mating, with individuals increasingly marrying partners of similar socioeconomic background, a trend linked to higher household income inequality.
  3. High married female labor-force participation in 2005 reinforces the inequality effect of assortative mating, as dual-income households amplify income disparities.

“…Has there been an increase in positive assortative mating? Does assortative mating contribute to household income inequality? Data from the United States Census Bureau suggests there has been a rise in assortative mating. Additionally, assortative mating affects household income inequality. In particular, if matching in 2005 between husbands and wives had been random, instead of the pattern observed in the data,then the Gini coefficient would have fallen from the observed 0.43 to 0.34, so that income inequality would be smaller. Thus,assortative mating is important for income inequality. The high level of married female labor-force participation in 2005 is important for this result….”

Jeremy Greenwood, Nezih Guner, Georgi Kocharkov, and Cezar Santos, “Marry Your Like: Assortative Mating and Income Inequality,” January 2014, National Bureau Of Economic Research, http://www.nber.org/papers/w19829

  • Inequality
  • Comparisons
    • Historical
  • Workforce
    • Demographics
    • Family/Marriage

Local Labor Markets

AI Summary. Wages vary widely across US metropolitan areas: high school graduates earn $14.1/hr in the median metro, with a 32% gap between the 10th and 90th percentile metros ($12.5 vs. $16.5) and a 60% gap between the 1st and 99th. Dispersion is larger for college graduates.

Enrico Moretti National Bureau of Economic Research
Date Posted:
May 27, 2020
Is Database:
Database
Is Important:
Important

Metro wage gaps reveal stark geography effect: High school grads see 60% max spread ($11.9-$19/hr); college grads 112% ($18.1-$38.5/hr). Top metros pay 2x lowest for same education level.

How much do wages for similar workers vary across metros?

Core argument: High school graduates in the median US metro area earn $14.1/hr, with the 10th and 90th percentile metros at $12.5 and $16.5/hr (a 32% gap) and the 1st and 99th percentiles at $11.9 and $19.0/hr (a 60% gap).

Labor costs exhibit significant variation across US metropolitan areas, with high school graduates in the median metro area earning $14.1/hr. The 10th and 90th percentiles earn $12.5 and $16.5/hr, respectively, a 32% difference, while the 1st and 99th percentiles earn $11.9 and $19.0/hr, a 60% difference. Notably, high school graduates in Stamford, CT or San Jose, CA earn wages two times higher than those in Brownsville, TX or McAllen, TX, despite similar education levels. This disparity is even more pronounced among college graduates, with a 41% difference between the 10th and 90th percentiles ($20.5 vs. $28.5/hr) and a 112% difference between the 1st and 99th percentiles ($18.1 vs. $38.5/hr). These variations highlight the substantial impact of geographic location on wage levels, underscoring the economic challenges faced by low-skilled workers in lower-wage cities compared to their counterparts in high-wage urban centers.

Takeaways by Macro Roundup® AI

  1. High school graduates in the median US metro area earn $14.1/hr, with the 10th and 90th percentile metros at $12.5 and $16.5/hr (a 32% gap) and the 1st and 99th percentiles at $11.9 and $19.0/hr (a 60% gap).
  2. High school graduates in Stamford, CT and San Jose, CA earn wages twice as high as those in Brownsville, TX and McAllen, TX, despite similar education levels.
  3. Geographic wage dispersion is wider for college graduates, with a 41% gap between the 10th and 90th percentile metros ($20.5 vs. $28.5/hr) and a 112% gap between the 1st and 99th percentiles ($18.1 vs. $38.5/hr).

“….The figure indicates that labor costs vary significantly across US metropolitan areas. The average high school graduate living in the median metropolitan area earns $14.1 for each hour worked. The 10th and 90th percentile of the distribution across metropolitan areas are $12.5 and $16.5, respectively. This amounts to a 32% difference in labor costs. The 1st and 99th percentile are $11.9 and $19.0, respectively, which amounts to a 60% difference. While some of these differences may reflect heterogeneity in skill levels within education group, differences across metropolitan areas conditional on race, experience, gender, and Hispanic origin are equally large…. The distribution of the average wage of college graduates across metropolitan areas is even wider than the distribution of the average wage of high school graduates. The 10th and 90th percentile of the distribution for college graduates are $20.5 and $28.5. This amounts to a 41% difference in labor costs. The 1st and 99th percentile are $18.1 and $38.5, respectively, which amounts to a 112% difference…High school graduates living in Stamford, CT or San Jose, CA earn an hourly wage that is two times as large as workers living in Brownsville, TX or McAllen, TX with the same level of schooling…”

Enrico Moretti, “Local Labor Markets,” National Bureau Of Economic Research, April 2010, http://www.nber.org/papers/w15947.pdf

  • Urban vs Rural
  • Comparisons
    • Geography (Urban/Rural)
  • Productivity
    • Workforce Reorganization
      • High vs Low Skill

Wage Stagnation and Buyer Power: How Buyer-Supplier Relations Affect U.S. Workers' Wages, 1978 to 2014

AI Summary. Panel data on publicly traded U.S. companies indicate that supplier firms' dependence on large corporate buyers is associated with lower wages, accounting for an estimated 10% of wage stagnation in nonfinancial firms since the 1970s. The authors argue unequal bargaining relations between corporate buyers and their suppliers have slowed workers' wage growth.

Nathan Wilmers American Sociological Review
Date Posted:
May 27, 2020
Is Database:
Database

Dependence on large buyers lowers suppliers’ wages & accounts for 10% of wage stagnation in nonfinancial firms since the 1970s.

Does supplier dependence on large corporate buyers lower workers' wages?

Core argument: Panel data on publicly traded U.S. companies indicate that suppliers' dependence on large corporate buyers lowers their wages and accounts for 10% of wage stagnation in nonfinancial firms since the 1970s.

Since the 1970s, market restructuring has shifted many workers into workplaces heavily reliant on sales to outside corporate buyers, who wield substantial power over working conditions among their suppliers. Panel data on publicly traded companies shows that dependence on large buyers lowers suppliers’ wages and accounts for 10% of wage stagnation in nonfinancial firms since the 1970s. These results are robust to supplementary measures of buyer power, instrumental variable analysis using mergers between buyers, and controls for individual worker characteristics like education and occupation. The spread of unequal bargaining relations between corporate buyers and their suppliers has slowed wage growth for workers, highlighting how product market restructuring and new forms of economic segmentation affect wages.

Takeaways by Macro Roundup® AI

  1. Panel data on publicly traded U.S. companies indicate that suppliers' dependence on large corporate buyers lowers their wages and accounts for 10% of wage stagnation in nonfinancial firms since the 1970s.
  2. The estimated wage effect of buyer power holds under supplementary measures of buyer power, instrumental variable analysis using mergers between buyers, and controls for worker characteristics such as education and occupation.
  3. Market restructuring since the 1970s shifted many workers into workplaces reliant on sales to outside corporate buyers, who wield substantial power over working conditions among their suppliers.

“…Since the 1970s, market restructuring has shifted many workers into workplaces heavily reliant on sales to outside corporate buyers. These outside buyers wield substantial power over working conditions among their suppliers. During the same period, wage growth for middle-income workers stagnated. By extending organizational theories of wage-setting to incorporate interactions between organizations, I predict that wage stagnation resulted in part from production workers’ heightened exposure to buyer power. Panel data on publicly traded companies shows that dependence on large buyers lowers suppliers’ wages and accounts for 10 percent of wage stagnation in nonfinancial firms since the 1970s.These results are robust to a series of supplementary measures of buyer power; instrumental variable analysis using mergers between buyers; corrections for selection and missing data; and controls for individual worker characteristics like education and occupation. The results show how product market restructuring and new forms of economic segmentation affect workers’ wages. The spread of unequal bargaining relations between corporate buyers and their suppliers has slowed wage growth for workers…..”

Nathan Wilmers, “Wage Stagnation and Buyer Power: How Buyer-Supplier Relations Affect U.S. Workers’ Wages, 1978 to 2014,“ American Sociological Review, 2018, https://journals.sagepub.com/doi/pdf/10.1177/0003122418762441

  • Other Comparison
  • Comparisons
    • Historical
    • Sector
  • Productivity
    • Institutional Capabilities
    • Investment
  • Workforce
    • Wages/Income

Left Coast Rising

AI Summary. California's employment rose 3.6% over 18 months versus 2.8% nationally following tax increases that critics predicted would cause economic collapse, while its budget moved into surplus and health-reform enrollment exceeded projections at below-expected cost, halving the uninsured rate. The author argues Texas's faster job growth reflects housing prices rather than tax rates.

Paul Krugman New York Times
Date Posted:
May 27, 2020
Is Database:
Database

California’s economic resurgence challenges anti-government narratives. Employment rose 3.6% over 18 months, surpassing the national average of 2.8%. The state’s share of national employment has returned to pre-recession levels.

California’s economic resurgence challenges anti-government narratives. Employment rose 3.6% over 18 months,...

Do tax increases slow state employment growth?

Core argument: California employment rose 3.6% over 18 months, above the national average of 2.8%, and the state's share of national employment has returned to pre-recession levels, contrary to predictions of economic doom after tax increases.

California's economic resurgence demonstrates the effectiveness of the Blue State Model, challenging anti-government narratives. Despite predictions of economic doom following tax increases, California's employment rose 3.6% over 18 months, surpassing the national average of 2.8%. The state's share of national employment has returned to pre-recession levels. Health reform costs were below expectations, with enrollment exceeding predictions, cutting the uninsured rate by half. The budget is now in surplus, contradicting forecasts of fiscal collapse. While Texas's job growth outpaces California's, this is attributed to housing prices rather than tax rates. California's success underscores that strategic tax increases and effective government programs can drive economic growth, debunking extremist ideologies.

Takeaways by Macro Roundup® AI

  1. California employment rose 3.6% over 18 months, above the national average of 2.8%, and the state's share of national employment has returned to pre-recession levels, contrary to predictions of economic doom after tax increases.
  2. California's health reform costs came in below expectations while enrollment exceeded predictions, cutting the state's uninsured rate by half, and its budget is now in surplus despite forecasts of fiscal collapse.
  3. Texas's job growth outpaces California's, a gap attributed to housing prices rather than tax rates, supporting the argument that tax increases and government programs need not impede economic growth.

“…So what do we learn from the California comeback? Mainly, that you should take anti-government propaganda with large helpings of salt. Tax increases aren’t economic suicide; sometimes they’re a useful way to pay for things we need. Government programs, like Obamacare, can work if the people running them want them to work, and if they aren’t sabotaged from the right. In other words, California’s success is a demonstration that the extremist ideology still dominating much of American politics is nonsense….”

The states, Justice Brandeis famously pointed out, are the laboratories of democracy. And it’s still true. For example, one reason we knew or should have known that Obamacare was workable was the post-2006 success of Romneycare in Massachusetts. More recently, Kansas went all-in on supply-side economics, slashing taxes on the affluent in the belief that this would spark a huge boom; the boom didn’t happen, but the budget deficit exploded, offering an object lesson to those willing to learn from experience.

And there’s an even bigger if less drastic experiment under way in the opposite direction. California has long suffered from political paralysis, with budget rules that allowed an increasingly extreme Republican minority to hamstring a Democratic majority; when the state’s housing bubble burst, it plunged into fiscal crisis. In 2012, however, Democratic dominance finally became strong enough to overcome the paralysis, and Gov. Jerry Brown was able to push through a modestly liberal agenda of higher taxes, spending increases and a rise in the minimum wage. California also moved enthusiastically to implement Obamacare.

I guess we’re not in Kansas anymore. (Sorry, I couldn’t help myself.)

Needless to say, conservatives predicted doom. A representative reaction: Daniel J. Mitchell of the Cato Institute declared that by voting for Proposition 30, which authorized those tax increases, “the looters and moochers of the Golden State” (yes, they really do think they’re living in an Ayn Rand novel) were committing “economic suicide.” Meanwhile, Avik Roy of the Manhattan Institute and Forbes claimed that California residents were about to face a “rate shock” that would more than double health insurance premiums.

What has actually happened? There is, I’m sorry to say, no sign of the promised catastrophe.

If tax increases are causing a major flight of jobs from California, you can’t see it in the job numbers. Employment is up 3.6 percent in the past 18 months, compared with a national average of 2.8 percent; at this point, California’s share of national employment, which was hit hard by the bursting of the state’s enormous housing bubble, is back to pre-recession levels.

On health care, some people — basically healthy young men who were getting inexpensive insurance on the individual market and were too affluent to receive subsidies — did face premium increases, which we always knew would happen. Over all, however, the costs of health reform came in below expectations, while enrollment came in well above — more than triple initial predictions in the San Francisco area. A survey by the Commonwealth Fund suggests that California has already cut the percentage of its residents without health insurance in half. What’s more, all indications are that further progress is in the pipeline, with more insurance companies entering the marketplace for next year.

And, yes, the budget is back in surplus.

Has there been any soul-searching among the prophets of California doom, asking why they were so wrong? Not that I’m aware of. Instead, I’ve been seeing many attempts to devalue the good news from California by pointing out that the state’s job growth still lags that of Texas, which is true, and claiming that this difference is driven by differential tax rates, which isn’t.

For the big difference between the two states, aside from the size of the oil and gas sector, isn’t tax rates. it’s housing prices. Despite the bursting of the bubble, home values in California are still double the national average, while in Texas they’re 30 percent below that average. So a lot more people are moving to Texas even though wages and productivity are lower than they are in California.

And while some of this difference in housing prices reflects geography and population density — Houston is still spreading out, while Los Angeles, hemmed in by mountains, has reached its natural limits — it also reflects California’s highly restrictive land-use policies, mostly imposed by local governments rather than the state. As Harvard’s Edward Glaeser has pointed out, there is some truth to the claim that states like Texas are growing fast thanks to their anti-regulation attitude, “but the usual argument focuses on the wrong regulations.” And taxes aren’t important at all.

So what do we learn from the California comeback? Mainly, that you should take anti-government propaganda with large helpings of salt. Tax increases aren’t economic suicide; sometimes they’re a useful way to pay for things we need. Government programs, like Obamacare, can work if the people running them want them to work, and if they aren’t sabotaged from the right. In other words, California’s success is a demonstration that the extremist ideology still dominating much of American politics is nonsense.

Left Coast Rising

Paul Krugman, “Left Coast Rising,”New York Times, July 24, 2019, https://www.nytimes.com/2014/07/25/opinion/paul-krugman-california-tax-left-coast-rising.html

  • Government Spending
  • Comparisons
    • Liberal/Conservative
    • Other Comparison
  • Fiscal Policy
    • Taxation
  • Productivity
    • Innovation/Research

IMF World Economic Outlook

AI Summary. The International Monetary Fund reports that the relative prices of investment goods have declined, shifting the shares of different investment categories. Cheaper capital goods are expected to stimulate investment by lowering the cost of acquiring new machinery and equipment.

IMF Staff International Monetary Fund
Date Posted:
May 27, 2020
Is Database:
Database
Is Important:
Important

IMF data shows a significant decline in the cost of capital goods, with shares and relative prices of investment categories shifting in response.

Do falling capital goods prices boost investment?

Core argument: The IMF World Economic Outlook reports a decline in the relative prices of investment goods, which has contributed to a shift in the shares of investment categories.

Recent data from the IMF World Economic Outlook indicates a notable decline in the cost of capital goods, with significant implications for investment categories. The relative prices of investment goods have decreased, contributing to a shift in the shares of various investment categories. This trend is driven by technological advancements and increased global competition, which have reduced production costs and improved efficiency. The decline in capital goods prices is expected to stimulate investment by lowering the cost of acquiring new machinery and equipment, thereby enhancing productivity and economic growth. As a result, businesses may experience improved profit margins, while policymakers could see this as an opportunity to encourage further investment in infrastructure and innovation. This shift underscores the importance of monitoring capital goods prices as a key indicator of economic health and investment potential.

Takeaways by Macro Roundup® AI

  1. The IMF World Economic Outlook reports a decline in the relative prices of investment goods, which has contributed to a shift in the shares of investment categories.
  2. The IMF attributes falling capital goods prices to technological advancements and increased global competition that have reduced production costs and improved efficiency.
  3. Lower capital goods prices are expected to stimulate investment by reducing the cost of acquiring new machinery and equipment, supporting productivity and economic growth.

International Monetary Fund (IMF). April 2015. “IMF World Economic Outlook.”http://www.imf.org/external/pubs/ft/weo/2015/01/

  • Productivity
    • Investment
  • Comparisons
    • Historical
    • Sector

The Expanding Workweek? Understanding Trends in Long Work Hours Among U.S. Men, 1979 - 2006

AI Summary. Employed American men are more likely to work 50+ hours per week than 25 years earlier, reversing a long-term decline in work hours, with the increase concentrated among skilled, salaried men rather than unskilled workers. The authors find the trend is not explained by survey methodology changes, cyclical factors, occupation or industry mix, self-employment, multiple jobholding, or the internet.

Kuhn, Peter, and Fernando Lozano University of California
Date Posted:
May 27, 2020
Is Database:
Database

Skilled male professionals drive 50+ hour week surge post-1980s—increase independent of tech/economic cycles/job mix, marks fundamental labor supply change.

Are more men working long hours, and which men?

Core argument: Employed U.S. men increasingly work 50 or more hours per week compared with 25 years ago, reversing a long-term decline in work hours.

Employed American men are increasingly working 50+ hours per week compared to 25 years ago, reversing a long-term decline in work hours. This trend is notably concentrated among skilled, salaried men, indicating it is not driven by the declining economic fortunes of unskilled workers. The increase is not due to changes in CPS [Current Population Survey] techniques, cyclical economic factors, or shifts in occupation and industry mix. It is also unrelated to self-employment, multiple jobholding, or technological advances like the internet. The phenomenon primarily occurred in the 1980s and is not a simple reallocation of labor within a worker's life cycle, suggesting a significant shift in labor supply dynamics among skilled men.

Takeaways by Macro Roundup® AI

  1. Employed U.S. men increasingly work 50 or more hours per week compared with 25 years ago, reversing a long-term decline in work hours.
  2. The rise in long work hours is concentrated among skilled, salaried men, indicating it is not driven by the declining economic fortunes of unskilled workers.
  3. The increase in long work hours is not explained by changes in Current Population Survey techniques, cyclical economic factors, occupation and industry mix, self-employment, multiple jobholding, or the internet, and occurred primarily in the 1980s.

“…In this paper we have shown that employed American men are more likely to work 50 or more hours per week today than a quarter century ago. We think that this trend is likely to be of interest to labor economists because (a) it reversed (perhaps temporarily) a secular decline in the work week that dates back over a century; and (b) it occurred at a time when other dimensions of men’s labor supply, such as employment rates, were in decline. What might explain this change in work behavior? In this paper we are able to rule out a number of possible causes, some more fundamental than others. For example, we know that the recent increase in the prevalence of long work weeks is not an artifact of changing CPS survey techniques, not a purely cyclical phenomenon, and not easily attributable to the changing mix of occupations and industries in the male labor force. Because the change is strongly concentrated among skilled, salaried men, we know that it is not a direct consequence of the declining economic fortunes of unskilled American men over the past two decades. For a number of reasons including the fact that we measure usual hours, we know that this phenomenon is not an artifact of increased month-to-month variability in hours worked. We know that it is not a consequence of increased self employment (nor of higher hours among the self employed). Nor is it related to an increase in multiple jobholding, or hours worked on second- and higherorder jobs. Because the bulk of the increase occurred during the 1980s, it is not likely related to advances in communication technology (such as the internet) that facilitate additional work from home. Further, because it was concentrated in the subgroups of men who experienced the smallest declines in labor supply on other margins, the increase in long hours cannot be easily interpreted as a simple reallocation of a fixed amount of labor within a representative worker’s life cycle….”

Kuhn, Peter, and Fernando Lozano. January 2008. “The Expanding Workweek? Understanding Trends in Long Work Hours Among U.S. Men, 1979-2006.” University of California-Santa Barbara.http://econ.ucsb.edu/~pjkuhn/Research%20Papers/LongHours.pdf

  • College
  • Comparisons
    • Historical
    • Skill Level
  • Productivity
    • Incentives/Risk-Taking
  • Workforce
    • Education
      • K-12
    • Gender Pay Gap
    • Wages/Income

Thursday, May 28, 2020

Heterogeneous Globalization: Offshoring and Reorganization

AI Summary. Research on Danish manufacturing firms finds that offshoring to low-wage countries shifts domestic employment composition, reducing production workers while increasing technology and research roles. Firms keep domestic production of higher-priced varieties rather than hollowing out home operations, relying on product-specific capabilities and quality differentiation.

Andrew Bernard, Teresa Fort, Valerie Smeets and Frederic Warzynski National Bureau of Economic Research
Date Posted:
May 28, 2020
Is Database:
Database

Research on Danish manufacturing firms reveals that offshoring to low-wage countries leads to significant shifts in domestic employment composition, with a rise in tech and research-related roles.

How does offshoring to low-wage countries reshape domestic manufacturing jobs?

Core argument: Danish manufacturing firms that offshore to low-wage countries shift their domestic workforce composition, reducing production workers while increasing tech and research-related roles.

Research on Danish manufacturing firms reveals that offshoring to low-wage countries leads to significant shifts in domestic employment composition, with a rise in tech and research-related roles. Despite increasing imports of domestically-produced goods from these regions, firms maintain domestic production, focusing on higher-priced varieties. This strategy leverages product-specific capabilities and quality differentiation, rather than hollowing out domestic operations. The reorganization results in a decrease in production workers but an increase in tech workers, aligning with innovation-driven growth. These changes suggest long-term productivity and growth benefits as firms shift towards innovation-centric activities.

Takeaways by Macro Roundup® AI

  1. Danish manufacturing firms that offshore to low-wage countries shift their domestic workforce composition, reducing production workers while increasing tech and research-related roles.
  2. Danish firms import from low-wage regions goods they also produce at home, retaining domestic production of higher-priced varieties through product-specific capabilities and quality differentiation rather than hollowing out domestic operations.
  3. The reorganization of offshoring Danish manufacturers toward innovation-centric activities suggests long-term productivity and growth benefits.

Research (using evidence from Denmark, largely manufacturing firms) finds that domestic production at offshoring firms didn't fall even as their produced good imports increased and the firms domestic workforce reorganized increasing the number and share of tech workers. Offshoring didn't "hollow out" firms in the Danish experience.

"...This paper exploits new information on Danish firms’ offshoring activities to construct a rich dataset on firms’ global production choices. We use these data to analyze how firms’ decisions to relocate their primary activities to low-wage countries affect not only their aggregate employment and output, but also their employment across activities. We find that over time, offshoring firms change their employment composition significantly so that they ultimately employ a much higher share of technology and research-related workers.We show that after firms relocate their main activity to a low-wage region, they increase their imports from that region, but that these new imports are primarily in products produced domestically by the firm, rather than in intermediate inputs. This finding underpins our creation of a new measure of firm offshoring by destination based on the change in the share of produced-good imports by the firm.While offshorers increase imports of the same domestically-produced goods, we find that they continue - rather than abandon - domestic production of those goods. However, the imported varieties have lower prices than their domestic counterparts and prices of the domestic varieties increase after offshoring begins. These findings suggest that offshorers have product-specific capabilities and exploit low-wage destinations to pursue a quality differentiation strategy.The rise of new low-wage production opportunities in developing countries allows offshoring firms to reorganize their domestic activities by increasing the number and share of domestic tech workers at the firm. Although offshorers decrease their total employment by shedding production workers, they do not “hollow out” the firm and transform into pure intermediaries of imported products. In addition to maintaining their output and raising the quality of domestically product varieties, they shift their workforce towards innovation related occupations.The results in this paper point to important long-term implications of offshoring. We show that firms that relocate their main activities to a foreign low-wage country maintain their domestic production by shifting to higher price varieties and are more likely to shift their domestic workers into innovative activities. Since innovation is a major determinant of future performance, this shift has important potential implications for the long-term effects of offshoring on productivity and growth…"

Heterogeneous Globalization: Offshoring and Reorganization: Extended Excerpt Image 1

Heterogeneous Globalization: Offshoring and Reorganization: Extended Excerpt Image 2

Heterogeneous Globalization: Offshoring and Reorganization: Extended Excerpt Image 3

Andrew Bernard, Teresa Fort, Valerie Smeets and Frederic Warzynski, “Heterogeneous Globalization: Offshoring and Reorganization,” National Bureau Of Economic Research, March 2020, https://www.nber.org/papers/w26854

Ed Comment:“I wouldn't post this but for my comment (ie, post it with my comment). I don't think Danish Americans have been hurt by offshoring, or automation either. And I don't think the Danes have bumped into a supervisory/high-skilled constraint. Quite the opposite, they have an underutilized surplus. So unlike America, increased investment opportunity (ie redeploying high-skilled workers) should increase high-skilled engagement, especially an increase in the supply of higher quality workers with minimal need for supervision. Those resources are valuable to a high-skilled workforce short on opportunities. In America, there a far fewer high-skilled workers per capita, far more high-skilled engagement, and much better investment opportunities for the highest skilled workers (ie increasing the productivity of the highest skilled workers). So, unlike their counterparts elsewhere, they don't rush to employ lower-skilled workers at the margin, although workers at all skill levels have been employed, just not in highly engineered and supervised (ie high productivity) jobs. And still low-skilled workers earn the same amount their Danish counterparts because of "trickle down" from the spending of high-skilled workers who earn substantially more than their Danish counterparts. It's not only the ratio of low skilled workers to high-skilled workers and the resulting productivity of low-skilled workers that drives low-skilled income. It's also largely the ratio of low-skilled workers to high-skilled income that determines the relative scarcity of low-skilled workers.Waiters are a good example because a lot of low skilled workers are employed as waiters. Richer high-skilled workers employ more of them at higher wages, i.e. their higher income increases the demand for low-skilled workers. Said differently, serving a richer person increases their marginal product of labor, which is a function of the labor they are displacing, in this case a rich person serving themselves.”

  • Productivity
    • Workforce Reorganization
      • Manufacturing vs Services
  • Comparisons
    • Historical
  • GDP
    • Trade (not deficits)

Bloomberg - Are you a robot?

AI Summary. The Bloomberg Startup Index, which tracks private tech firms' funding and valuations, has declined relative to the NASDAQ 100 index of large public tech companies, though both are up roughly 400% since 2007. The tech sector has cut more than 40,000 jobs since the pandemic began, including at Uber, Airbnb, and Lyft.

Sarah McBride Bloomberg
Date Posted:
May 28, 2020
Is Database:
Database

The Bloomberg Startup Index has seen a significant decline compared to the NASDAQ 100, despite both indices being up ~400% since 2007. @SarahMcBride

Are private tech startups falling behind large public tech companies?

Core argument: The Bloomberg Startup Index, which tracks private tech firms through funding and valuations, has fallen significantly against the NASDAQ 100, though both indices are up roughly 400% since 2007.

The Bloomberg Startup Index, which tracks the health of private tech firms through metrics like funding and valuations, has seen a significant decline compared to the NASDAQ 100, despite both indices being up ~400% since 2007. This downturn is partly due to the tech sector's layoffs, with over 40,000 jobs cut since the pandemic's onset. In early May, major companies like Uber, Airbnb, and Lyft announced substantial job reductions, highlighting the industry's struggle for survival rather than competition. While tech startups outpaced the NASDAQ 100 in 2018 due to late-stage valuation gains, their momentum has stalled, now trailing behind their publicly traded counterparts. This shift underscores the challenges faced by private tech firms in maintaining growth amid economic uncertainties.

Takeaways by Macro Roundup® AI

  1. The Bloomberg Startup Index, which tracks private tech firms through funding and valuations, has fallen significantly against the NASDAQ 100, though both indices are up roughly 400% since 2007.
  2. Tech layoffs exceeding 40,000 jobs since the onset of the pandemic, including cuts announced in early May by Uber, Airbnb, and Lyft, accompany the startup index's decline.
  3. Tech startups outpaced the NASDAQ 100 in 2018 on late-stage valuation gains but now trail their publicly traded counterparts.

Record highs in Bloomberg’s startup index (private firms) have collapsed versus NASDAQ 100 (see chart) though both are still up ~ 400% from 2007. Also Bloomberg reports on layoffs in tech sector, parallel’s your views on evolution, driven not by food competition but survival from extinction:“…Layoffs have slammed tech companies both large and small since the start of the coronavirus pandemic in mid-March. The industry has cut more than 40,000 jobs so far, but this month was the cruelest yet. In a single week in early May, Uber Technologies Inc. announced it would slash 3,700 positions, Airbnb Inc. said it would cut 1,900 and Lyft Inc. fired or furloughed more than 1,000….For the first half of the last decade, theperformance of tech startups, the lifeblood of the industry, surged along with the Nasdaq 100 Index, a technology-heavy mix of large non-financial companies. Then, in 2018, startups pulled well ahead of their publicly traded counterparts, driven in part by big gains in valuations at late-stage private companies. That momentum stalled this year. The Bloomberg Startup Index, a barometer for the health of the sector using metrics like funding and valuations, is now trailing the Nasdaq 100….”

Sarah McBride and Christopher Cannon, “Covid-19 Brings a Reckoning of Layoffs to Silicon Valley,” Bloomberg, May 28, 2020, https://www.bloomberg.com/graphics/2020-coronavirus-technology-layoffs/

  • Startups
  • Comparisons
    • Historical
  • GDP
    • Financial Markets
  • Productivity
    • Innovation/Research
    • Investment

American cities saw uneven growth last decade, new census data show

AI Summary. US census data show that 55 of the 89 largest US cities grew faster in 2010–2019 than in the prior decade, with New York City among the exceptions. That growth was front-loaded, with suburbs outpacing primary cities in population gains in the later years, though by a smaller margin than in the 2000s.

William Frey Brookings Institution
Date Posted:
May 28, 2020
Is Database:
Database

US cities saw uneven growth last decade, with major cities like New York City being exceptions. Suburbs outpaced primary cities in population increase during the latter years. @WilliamFrey

Did big US cities grow faster last decade than suburbs?

Core argument: From 2010 to 2019, 55 of the 89 largest US cities grew faster than in the 2000s, with exceptions including New York City, according to 2020 census data.

The 2020 census data reveal that while the 2010s initially marked a period of robust city growth compared to the 2000s, this trend decelerated in the latter half of the decade. From 2010 to 2019, 55 of the 89 largest US cities experienced more growth than in the previous decade, with major cities like New York City being exceptions. However, this growth was front-loaded, with suburbs outpacing primary cities in population increase during the latter years. The city-suburb growth disparity was less pronounced than in the 2000s, indicating a shift in population dynamics. The highest urban growth rates occurred during the post-Great Recession period, suggesting potential for renewed urban attraction as the economy recovers post-COVID-19. This shift has implications for urban planning and economic policy as cities adapt to changing demographic trends.

Takeaways by Macro Roundup® AI

  1. From 2010 to 2019, 55 of the 89 largest US cities grew faster than in the 2000s, with exceptions including New York City, according to 2020 census data.
  2. City growth in the 2010s was front-loaded, with suburbs outpacing primary cities in population increase in the decade's later years.
  3. The city-suburb growth gap in the 2010s was smaller than in the 2000s, and the highest urban growth rates came in the period following the Great Recession.

American cities saw uneven growth last decade, new census data show: Extended Excerpt Image 1


William Frey, "American cities saw uneven growth last decade, new census data show," Brookings Institution, May 26, 2020, https://www.brookings.edu/research/new-census-data-show-an-uneven-decade-of-growth-for-us-cities/

“…When looked at from a decade-long perspective, the 2020 census will likely show the 2010s to be a period of healthy city growth compared with the 2000s, a somewhat down decade for cities. The Census Bureau’s new estimates show that 55 of the country’s 89 largest cities have already added more people between 2010 and 2019 than was the case in the 2000 to 2010 decade (download Table D). This is the case for each of the 10 cities with populations over 1 million except New York City. Moreover, within the nation’s major metropolitan areas, the city-suburb growth disparity from 2010 to 2019 was modest compared to the sharp disparity during the 2000s….Of course, this healthy city growth was heavily front-loaded early in the decade, before the declines in recent years. What does this mean for city growth in the early 2020s, especially in the wake of the COVID-19 pandemic? There are a lot of unknowns, making this difficult to predict. But it is worth noting that big cities registered their highest growth rates during the down economy and deflated housing market in the wake of the Great Recession. Thus, there is a possibility that young adults—both millennials and Gen Z—may again gravitate to big cities as the pandemic recedes and gives way to a recovering economy….”

William Frey analysis of the Census Bureau’s new estimates finds that the population move to cities has slowed down, in the second half of the last decade suburbs grew faster in population than primary cities

Ed Comment:I sure would like to see immigrants vs native-born and high-skilled vs low (ideally all 4 quadrants). When they say millennials and gen z moved to the cities, people don’t think immigration, they think young native-born adults who used to live elsewhere in the US.

Steve Comment:EdRequest Unfifilled As Of May 28, 2020

  • Urban vs Rural
  • Comparisons
    • Geography (Urban/Rural)
    • Historical
  • Productivity
    • Workforce Reorganization
  • Workforce
    • Demographics


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