Edward Conard

Top Ten New York Times Bestselling Author

  • “Unintended Consequences is far smarter and more thought-provoking than most economics written for the general public” - Greg Mankiw, Harvard University, Former Chairman of the Council of Economic Advisors
  • “Unintended Consequences provides a provocative interpretation of the causes of the global financial crisis and the policies needed to return to rapid growth. Whether you agree or not, this analysis is well worth reading.” - Nouriel Roubini, New York University; Chairman, Roubini Global Economics
  • “…a comprehensive explanation of the modern economy.” - Julian Robertson, Founder, Tiger Management
  • “…challenges misconceptions that distort our economic debates.” - Arthur Brooks, President of the American Enterprise Institute
  • “…a fresh argument for the productive value of inequality.” - David Autor, Professor of Economics, Massachusetts Institute of Technology
  • “…a very valuable contribution.” - Larry Summers, former Secretary of the Treasury and director of the National Economic Council, president emeritus, Harvard University
  • “…a must-read for serious students of economic policy.” - Glenn Hubbard, Dean, Columbia Business School, and former Chairman of the Council of Economic Advisers
  • “A full-throated defense of economic dynamism.” - The Wall Street Journal
  • “Unintended Consequences represents the most cogent and persuasive analysis of the Financial Crisis to date.” - Andrei Shleifer, 1999 John Bates Clark Medal Winner
  • “…reminds us that inequality sends a signal of what society lacks most, in America’s case, entrepreneurship and risk taking.” - Lawrence Lindsey, CEO, The Lindsey Group, former Director of the National Economic Council
  • “Unintended Consequences should be read by anyone who takes for granted the superiority of progressive taxation and has not thought carefully about the trade-offs involved.” - The New Republic
  • “Unintended Consequences is full of substance, it is one of the must-read books of the year, and once I finish it I will be giving it a second read through right away.” - Tyler Cowen, Professor, George Mason University
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A new look at the declining labor share of income in the United States

James Manyika McKinsey & Company
Date Posted:
May 30, 2019
Is Database:
Database
Is Important:
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2000-16: US labor share -5.4pts = 75% of post-WWII drop. Drivers: sector cycles 33%, depreciation 26%, industry consolidation 18%, automation 12%, globalization 11%. Cost to workers: -$3,000/yr real wages.

Between 2000 and 2016, the US labor share of income declined significantly, accounting for 75% of the overall drop since WWII. This period saw a 5.4 percentage point decrease in the labor share within the private business sector, which, if avoided, could have increased average worker pay by $3,000 annually in real terms. The decline is attributed to several factors: sector-specific supercycles and boom-bust effects (33%), rising depreciation due to higher capital stocks and intangibles (26%), and superstar effects with industry consolidation (18%). Capital substitution and automation contributed 12%, while globalization and reduced labor bargaining power accounted for 11%. These trends highlight the importance of productivity growth and human capital investment as key drivers of wage growth.

McKinsey thinks that sector specific supercycles/boom bust account for 1/3 of the decline in labor's share of income in the United States, also finds that 75% of the decline in labor share btw 1945-2016 took place btw 2000-2016

"....In this paper, we look at the relative importance of different factors in the United States through a focus on the complement of the labor share decline—that is, the rise in capital share of income. We decompose this into the role of depreciation, capital-to-output ratios, and returns on invested capital and link them to a microanalysis of 12 sectors.While our findings confirm the relevance of the most commonly cited factors, they also suggest that other trends often absent from the current debate played an even more central role. Key findings: The labor share of income in the US private business sector declined by about 5.4 percentage points between the periods 1998 to 2002 and 2012 to 2016. Without such a decline since 1998, average worker pay might be about $3,000 higher per year in real terms. The decrease between 2000 and 2016 accounts for three-quarters of the overall decline in the US labor share of income since World War II. Our analysis finds that the fall accounts for 18 percent of the gap that opened between median wage growth and historical productivity growth. Weak productivity growth explains 50 percent of the gap, while disproportionate distribution of income gains to highly paid workers accounts for 19 percent. Twelve sectors that make up about one-third of employment and 44 percent of economic output explain the overall decline in labor share or increase in capital share. These tend to be more globalized, more digitized, and more capital-intensive than the overall economy, but also include high-employment services like wholesale and retail. Eight of the 12 sectors experienced faster than-average wage growth, in most cases supported by above-average productivity growth. Nevertheless, almost all of these sectors have experienced a decline in labor share of more than five percentage points. In analyzing the various hypotheses behind the labor share decline across these sectors,we find that a set of supercycle and boom-bust effects appears as the main driver, accounting for one-third of the total decline since 1998. The commodity supercycle notably increased profits in the mining sector, while the real estate boom temporarily increased capital stocks in the sector and its weight in the total economy. The second-most important factor (26 percent of the decline) is rising and faster depreciation, due to higher capital stocks and a shift to intangible assets with shorter life cycles.For example, computer and electronics manufacturing raised the share of assets from intellectual property products in total capital and, with it, depreciation. Pharmaceuticals and chemicals also used more intangible capital and experienced higher depreciation. Superstar effects—which see a small proportion of large firms capturing a disproportionately larger share of economic profit than their peers—along with industry consolidation appear to explain about 18 percent of the decline, including in sectors such as telecommunications, media, and transportation. Capital substitution of labor and automation could underpin 12 percent of the labor share decline, according to our estimates. Globalization and decreased labor bargaining power, which affected the automotive sector among others, account for the remaining 11 percent.While further research will be needed to confirm and refine these findings, they already highlight some trends and implications. First, it is clear that economic context matters and a decline in labor share is not, per se, “bad.” For instance, while the shift to intangibles has negatively affected the labor share, it can raise productivity. Our research highlights the importance of driving productivity growth as the most important determinant of wage growth. Improving human capital will also be essential. Raising investment rates could have a much higher positive effect on productivity and wages than the historically smallish negative impact of capital deepening on the labor share. Our research suggests that labor share declines could continue but at a slower pace.Commodity cycle effects should taper off, and offshoring for reasons of labor-cost arbitrage is declining. The ongoing shift to intangibles will likely continue to raise depreciation, however. Superstar effects also have grown stronger, although policy changes or hypercompetition might alter the trajectory. Capital substitution and technology deployment look set to continue or accelerate, with significant uncertainty around the elasticities of labor substitution versus complementation as a critical determinant of whether that will be good or bad for the labor share. Our research on automation suggests that more occupations will be complemented than substituted...."

James Manyika, Jan Mischke, Jacques Bughin, Jonathan Woetzel, Mekala Krishnan, and Samuel Cudre, "A new look at the declining labor share of income in the United States," McKinsey & Company, May 2019, https://www.mckinsey.com/featured-insights/employment-and-growth/a-new-look-at-the-declining-labor-share-of-income-in-the-united-states

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Previous articleMay 30, 2019Some of the World’s Largest Employers No Longer Sell Things, They Rent WorkersOutsourcing has transformed the global labor market, with 5 of the top 20 global employers in 2017 being outsourcing firms, up from just 1 in 2000.Next articleMay 31, 2019Germán Gutiérrez and Sophie PitonAnalysis reveals that when adjusting for dwellings & self-employed workers, labor share has remained stable since the 1970s in advanced economies, excluding the US. @GermánGutiérrez.
Showing 45 database articles primarily about Other Comparison

The 2020 Census of American Religion

Robert Jones The Public Religion Research Institute
Date Posted:
July 12, 2021
Is Database:
Database

The proportion of Americans identifying as white and Christian has seen a significant decline over the past few decades, dropping from 65% in 1996 to 54% in 2006, and further to 43% by 2017.

The proportion of Americans identifying as white and Christian has seen a significant decline over the past few decades, dropping from 65% in 1996 to 54% in 2006, and further to 43% by 2017. This trend reflects broader demographic shifts and cultural changes within the U.S., with the white Christian population decreasing by nearly one-third. In 2020, the percentage slightly rebounded to 44%, indicating a potential slowing of this decline. Meanwhile, religiously unaffiliated Americans have grown to comprise nearly one in four (23%), highlighting a shift towards secularism. These changes have implications for economic and policy considerations, as religious affiliation can influence consumer behavior, political preferences, and social values. Understanding these dynamics is crucial for businesses and policymakers aiming to navigate the evolving cultural landscape.

Lay of the land of Americans religiosity in 2020, "....According to PRRI’s 2020 American Values Atlas, seven in ten Americans (70%) identify as Christian, including more than four in ten who identify as white Christian and more than one quarter who identify as Christian of color. Nearlyone in four Americans (23%) are religiously unaffiliated, and 5% identify with non-Christian religions. The most substantial cultural and political divides are between white Christians and Christians of color. More than four in ten Americans (44%) identify as white Christian, including white evangelical Protestants (14%), white mainline (non-evangelical) Protestants (16%), and white Catholics (12%), as well as small percentages who identify as Latter-day Saint (Mormon), Jehovah’s Witness, and Orthodox Christian.2 Christians of color include Hispanic Catholics (8%), Black Protestants (7%), Hispanic Protestants (4%), other Protestants of color (4%), and other Catholics of color (2%).3 The rest of religiously affiliated Americans belong to non-Christian groups, including 1% who are Jewish, 1% Muslim, 1% Buddhist, 0.5% Hindu, and 1% who identify with other religions. Religiously unaffiliated Americans comprise those who do not claim any particular religious affiliation (17%) and those who identify as atheist (3%) or agnostic (3%). Over the last few decades, the proportion of the U.S. population that is white Christian has declined by nearly one-third. As recently as 1996, almost two-thirds of Americans (65%) identified as white and Christian. By 2006, that had declined to 54%, and by 2017 it was down to 43%.4 The proportion of white Christians hit a low point in 2018, at 42%, and rebounded slightly in 2019 and 2020, to 44%. That tick upward indicates the decline is slowing from its pace of losing roughly 11% per decade...."

The 2020 Census of American Religion: Extended Excerpt Image 1


Robert Jones Natalie Jackson, Diana Orcés and Ian Huff, "The 2020 Census of American Religion," The Public Religion Research Institute, July 2021, https://www.prri.org/research/2020-census-of-american-religion/

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Money really can buy happiness and recessions can take it away

Economist Staff The Economist
Date Posted:
July 31, 2020
Is Database:
Database

A 10% rise in GDP/person is associated with a 0.5-point increase in life satisfaction on a 10-point scale, according to @TheEconomist. Recessions can drop life satisfaction scores by 1 point, highlighting the importance of economic growth & stability.

Economic data reveals a strong correlation between GDP per person and life satisfaction, indicating that higher income levels often lead to increased happiness. Studies show that a 10% rise in GDP per person is associated with a 0.5-point increase in life satisfaction on a 10-point scale. Conversely, during economic downturns, such as the 2008 financial crisis, life satisfaction scores dropped by an average of 1 point in affected countries. This suggests that recessions not only impact financial stability but also significantly affect overall well-being. Policymakers should consider these findings when designing economic policies, as boosting GDP could enhance societal happiness, while mitigating recession impacts could preserve it. The data underscores the importance of economic growth and stability in improving quality of life across populations.

Economist Staff, "Money really can buy happiness and recessions can take it away,"The Economist, July 11, 2020, https://www.economist.com/graphic-detail/2020/07/11/money-really-can-buy-happiness-and-recessions-can-take-it-away

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Tax Myths Of Warrenomics

Laurence Kotlikoff Wall Street Journal
Date Posted:
June 25, 2020
Is Database:
Database

@LaurenceKotlikoff, The analysis of wealth inequality by Kotlikoff highlights key misconceptions in tax progressivity assessments, focusing on gross rather than net taxes & overlooking transfer payments like Social Security that benefit the poor.

@LaurenceKotlikoff, The analysis of wealth inequality by Kotlikoff highlights key misconceptions in tax progressivity...
The analysis of wealth inequality by Kotlikoff highlights key misconceptions in tax progressivity assessments. A major error is focusing on gross rather than net taxes, overlooking transfer payments like Social Security that benefit the poor. Saez and Zucman's approach, which measures progressivity on a one-year basis, fails to account for double taxation on future income from savings, understating taxes for the wealthy who save more. Age adjustments are also neglected, skewing perceptions of tax fairness as older individuals appear to pay less due to past tax contributions. For 40-year-olds, the top 1% face a 34.5% net tax rate on remaining lifetime resources, while the bottom quintile receives a 46.6% net subsidy. Current-year net rates further misrepresent progressivity, ranging from -9.8% for the bottom 20% to 38.2% for the top 1%. These insights challenge prevailing narratives and underscore the complexity of accurately assessing tax burdens across different demographics.

The biggest mistake is to focus on gross, not net, taxes. They ignore transfer payments, like Social Security, which are disproportionately paid to the poor. In doing so, they mistake language for economics.

Messrs. Saez and Zucman’s second mistake is measuring progressivity on a one-year rather than a remaining-lifetime basis. That ignores the fiscal system’s double taxation: Income earned, taxed and saved this year will be subject to future taxation on interest, dividends and capital gains. This omission disproportionately understates taxes for the rich, who save at a higher rate. The current-year focus also understates benefits paid to the poor, since future benefits are a bigger share of their resources.

Their third mistake is failing to adjust for age. The old have paid most of their lifetime taxes, which makes them now look like tax cheats, particularly those who saved out of previously highly taxed labor income. With changing demographics, this problem will deeply confuse tax progressivity comparisons over time.

I’ll focus on 40-year-olds, but the results are similar for all age groups. Each dollar of pretax remaining lifetime resources of those in the top 1% of the resource distribution is, on average, taxed on net at a 34.5% rate. For those in the top quintile, the average net tax rate is 28.4%. For those in the bottom quintile, every dollar of pre-tax resources is matched by a 46.6% netsubsidy. (The tax rises steadily to 4.2% for the second quintile, 12.6% for the third and 18.5% for the fourth.)

The average net rates for the current year only (not including future net taxes) for this cohort understate true progressivity. They range from negative 9.8% for the bottom 20% to positive 38.2% for the top 1%.

40 to 50 year olds:

Richest 1%

Poorest 25%

40 to 49 years

Net tax rate

Share of consumption

Share of income

Share of wealth

Richest 1%

34.5%

14.5%

17.9%

34.3%

Highest 20%

28.5%

Lowest 20%

(46.6)

7.3

4.0

0.6

Laurence Kotlikoff, “Tax Myths Of Warrenomics,” Wall Street Journal, October 17, 2019, https://www.wsj.com/articles/tax-myths-of-warrenomics-11571351806

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Value-Added Trade vs. Gross Trade

B. Ravikumar and Brian Reinbold Federal Reserve Bank of St. Louis
Date Posted:
June 25, 2020
Is Database:
Database

US Bilateral Trade Balance Adjusted For Valued Added Versus Gross Trade Shrinks Deficit 40% With Canada And Mexico, 20% WIth China, Grows Deficit 40% With Japan, Twice As Large WIth ROK.

The U.S. bilateral trade balance shows significant variation when comparing value-added trade to gross trade. With Canada and Mexico, the U.S. trade deficit is 40% smaller on average when considering value-added trade, reflecting the reliance on U.S. content in exports. In 2015, the deficit with Mexico was halved under this measure. Conversely, the deficit with China is 20% smaller, while it grows 40% with Japan and doubles with South Korea, highlighting the role of high value-added foreign content in Chinese exports. These shifts underscore the importance of accounting for global supply chain complexities in trade statistics.

New FRBSL note:“…U.S. bilateral trade balance can vary significantly depending on whether one looks at value-added trade or gross trade. For example, the U.S. trade deficit with Canada and Mexico shrinks considerably and is on average 40 percent smaller when looking at the value-added trade balance as opposed to the gross trade balance. Futhermore, the U.S. trade deficit with Mexico was cut in half in 2015. These changes likely reflect the fact that many exports to the U.S. rely on content from other countries including the U.S., as we saw in the vehicle example. Also, the U.S. trade deficit with China is on average 20 percent smaller when looking at the value-added trade balance as opposed to the gross trade balance, but it is 40 percent larger with Japan and twice as large with South Korea. Again, these changes likely reflect the fact that many Chinese exports to the U.S. rely on higher value-added foreign content(e.g., from Japan and South Korea)….”B. Ravikumar and Brian Reinbold, "Value-Added Trade vs. Gross Trade," Federal Reserve Bank Of St. Louis, June 2020, https://research.stlouisfed.org/publications/economic-synopses/2020/02/14/value-added-trade-vs-gross-tradeValue-Added Trade vs. Gross Trade

2"Measuring Trade in Value Added," inInterconnected Economies: Benefiting from Global Value Chains. OECD Publishing, Paris, 2013.

1de Gortari, Alonso. "Disentangling Global Value Chains." Working Paper, November 2019.

Notes

Conventional trade statistics may have been sufficient when goods were produced entirely within a nation's borders and then exported to other countries; but with increasingly complicated supply chains and an increasingly interconnected global economy, value-added trade can provide a more accurate picture of global trade.

Also, the U.S. trade deficit with China is on average 20 percent smaller when looking at the value-added trade balance as opposed to the gross trade balance, but it is 40 percent larger with Japan and twice as large with South Korea. Again, these changes likely reflect the fact that many Chinese exports to the U.S. rely on higher value-added foreign content (e.g., from Japan and South Korea).

For example, the U.S. trade deficit with Canada and Mexico shrinks considerably and is on average 40 percent smaller when looking at the value-added trade balance as opposed to the gross trade balance. Futhermore, the U.S. trade deficit with Mexico was cut in half in 2015. These changes likely reflect the fact that many exports to the U.S. rely on content from other countries including the U.S., as we saw in the vehicle example.

Value-Added Trade vs. Gross Trade: Extended Excerpt Image 1


We see from the figure that the U.S. bilateral trade balance can vary significantly depending on whether one looks at value-added trade or gross trade.

The Organisation for Economic Co-operation and Development provides value-added trade statistics from 2005-15.2The figure shows the U.S. trade balance from 2005-15 with several major trading partners in terms of real gross trade and real value-added trade.

Additionally, as we saw in the vehicle example above, such measures neglect the role of other countries in the supply chain. One way to combat this issue is to look at the value added, such as labor compensation and profits, by each country at each step of the production process. This provides a better way of incorporating the intricacies of today's global supply chain into trade accounting.

Traditional trade measures record gross, or total, flows of goods and services every time they cross a border. This includes the cost of inputs plus the value added by each country. Such traditional trade measures lead to double counting because countries trade intermediate goods for further processing.

For example, when Mexico assembles a vehicle, only one-third of the vehicle's value is derived from Mexican parts and labor. The rest is due to foreign components; about 74 percent of these foreign parts is imported from the U.S.1However, when Mexico ships this vehicle to the U.S., the entire factory cost of the vehicle, which includes the cost ofall of the partsand assembly, will be added to the U.S. trade deficit with Mexico despite the fact that much of the vehicle's value comes from U.S. parts. In other words, the U.S. would run a much larger trade deficit in terms of gross trade with Mexico than in terms of value-­added trade.

The rise of globalization has led to increasingly complicated supply chains. Raw materials and intermediate goods now move strategically throughout the world before a final good reaches the consumer. Traditional measures of trade often do a poor job of capturing this complexity.

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The Distribution of Household Income, 2016

CBO Staff Congressional Budget Office
Date Posted:
June 12, 2020
Is Database:
Database

The share of pretax income for households in the 80th to 99th % increased modestly from 29% to 31% btw 1979 and 2016, @USCBOOffice reports.

Between 1979 and 2016, the share of pretax income for households in the 80th to 99th % increased modestly, reflecting a shift in income distribution. This group saw their share rise from 29% to 31%, indicating a gradual concentration of income among higher earners. In contrast, the bottom 20% experienced a decline in their share from 7% to 5%, highlighting growing income inequality. The top 1% saw a more significant increase, with their share rising from 9% to 16%, underscoring the disproportionate gains at the very top. These changes suggest that while the middle-upper income brackets have seen some growth, the most substantial gains have been concentrated among the wealthiest, raising concerns about economic disparity and its implications for economic policy and social equity.

Congressional Budget Office (CBO). July 9, 2019. “The Distribution of Household Income, 2016.”https://www.cbo.gov/publication/55413

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Immigrants dont make up a majority of workers in any U.S. industry

Drew Desilver Pew Research Center
Date Posted:
June 5, 2020
Is Database:
Database

Immigrants made up 17.1% of the US workforce in 2014, but didn’t form a majority in any industry. They were most prevalent in private households (45%), followed by textile manufacturing (36%) and agriculture (33%).

In 2014, immigrants constituted 17.1% of the U.S. workforce, totaling approximately 27.6m workers out of 161.4m, with 12.1% being lawful immigrants and 5% unauthorized. Despite their significant presence, immigrants did not form a majority in any U.S. industry. The most immigrant-intensive industry was private households, where 45% of workers were immigrants, followed by textile, apparel, and leather manufacturing (36%) and agriculture (33%). In terms of occupations, nearly half (46%) of those in farming, fishing, and forestry were immigrants. While lawful immigrants were predominantly employed in retail (10%), educational services (8%), and non-hospital health care services (7%), unauthorized immigrants were mainly in construction (16%), eating and drinking places (14%), and administrative support services (9%). The immigrant share of the workforce has grown from 12% in 1995 to 17.1% in 2014, indicating their increasing role in the U.S. labor market.

Drew Desilver, "Immigrants don’t make up a majority of workers in any U.S. industry,"Pew Research Center, March 16, 2017, https://www.pewresearch.org/fact-tank/2017/03/16/immigrants-dont-make-up-a-majority-of-workers-in-any-u-s-industry/

Immigrants don’t make up a majority of workers in any U.S. industry

Immigrants are more likely than U.S.-born workers to be employed in a number of specific jobs, including sewing machine operators, plasterers, stucco masons and manicurists. But there are no major U.S. industries in which immigrants outnumber the U.S. born, according to a Pew Research Center analysis of government data.

Immigrants dont make up a majority of workers in any U.S. industry: Extended Excerpt Image 1


All told, immigrants made up 17.1% of the total U.S. workforce in 2014, or about 27.6 million workers out of 161.4 million. About 19.6 million workers, or 12.1% of the total workforce, were in the U.S. legally; about 8 million, or 5%, entered the country without legal permission or overstayed their visas. (Roughly 10% of unauthorized immigrants have been granted temporary protection from deportation and eligibility to work under two federal programs, known as Deferred Action for Childhood Arrivals and Temporary Protected Status.)

There are two main ways to look at the kinds of work people do: by industry (that is, the business their employer is engaged in) and by occupation (the kind of work they do on the job). To get a sense of the work immigrants to the U.S. do most frequently, we relied on 2014 workforce estimates by Pew Research Center. The estimates, based on augmented data from the Census Bureau’s 2014 American Community Survey, cover all workers ages 16 and older who reported being in a civilian industry or occupation, including both lawful and unauthorized immigrants.

Private households were the most immigrant-intensive “industry” in 2014. Of the 947,000 people working for private households, 45% were immigrants, with lawful immigrants slightly outnumbering unauthorized immigrants. The industries with the next-biggest shares of immigrant workers were textile, apparel and leather manufacturers (36%) and the farm sector: A third (33%) of the nearly 2 million agriculture workers in 2014 were born outside the U.S.

While these industries had the biggest share of immigrant workers, they weren’t the biggest overall employers of immigrants, since industries with a smaller share of immigrants may have more of them in absolute numbers.

The overall U.S. workforce - U.S.-born and immigrant (both lawful and unauthorized) - is concentrated in a relatively small number of industries. But while the 10 biggest-employing industries are the same for U.S.-born and lawful immigrant workers (and in almost the same order), the employment pattern among unauthorized immigrants is markedly different.

Retail, for instance, was the single biggest employer of lawful immigrants (10% of all lawful immigrant workers), followed by educational services (8%) and non-hospital health care services (7%). By contrast, the top industry for unauthorized immigrant workers was construction, which included 16% of all unauthorized immigrant workers. Construction was followed by eating and drinking places, which had 14% of unauthorized immigrant workers, and administrative and support services (9%). Those three industries each included between 5% and 7% of lawful immigrants.

Any given industry employs workers in many different occupations, and people may do much the same job in any number of different industries. The occupational group with the highest share of immigrants in 2014 was farming, fishing and forestry: Nearly half (46%) of the 1.2 million people in those occupations were foreign born. More than a third (35%) of the 6.7 million people in building and grounds cleaning and maintenance occupations were immigrants, as were 27% of the 8.3 million people in construction and extraction occupations.

And as with industries, the distribution of occupations differs significantly between lawful and unauthorized immigrants. More than half of all unauthorized immigrant workers in 2014 were in just four occupational groups: construction and extraction; building and grounds cleaning and maintenance; food preparation and serving; and production. In contrast, those four groups accounted for only about a quarter of lawful immigrants’ jobs. The biggest occupational sectors for lawful immigrant workers were office and administrative support, sales, and management (each with 9% to 10% of the total).

Immigrants dont make up a majority of workers in any U.S. industry: Extended Excerpt Image 2


Looking at specific occupations, an estimated 63% of “miscellaneous personal appearance workers” (a category that includes manicurists and pedicurists, makeup artists, shampooers and skin care specialists) are immigrants, the highest share of any occupation. Immigrants account for about 60% of graders and sorters of agricultural products as well as plasterers and stucco masons, 55% of sewing machine operators, and about half of maids and housekeepers, tailors and dressmakers, and miscellaneous agricultural workers.

The immigrant share of the U.S. workforce has grown over time. Back in 1995, according to Pew Research Center estimates, immigrants (lawful and unauthorized) made up about 12% of the total civilian workforce. The lawful-immigrant share has risen gradually, from an estimated 9% in 1995 to 12% in 2014; the unauthorized-immigrant share rose from about 3% in 1995 to 5% in 2005, but has been roughly stable ever since. Immigrants, and their U.S.-born children, are projected to drive growth in the nation’s working-age population for at least the next two decades.

Views on immigration’s impact on U.S.-born workers have shifted significantly over the past decade, according to a Pew Research Center survey released last year. Americans then were almost evenly divided, with 42% saying the growing number of immigrants working in the U.S. helps American workers and 45% saying it hurts workers who were born in the U.S. In 2006, 55% said having more immigrants hurt U.S. workers, with just 28% saying it helped them.

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