POLICY BRIEF: Firming Up Inequality
KEY POLICY INSIGHT: In the past three decades, explanations for income inequality have multiplied almost as fast as the compensation gap in the U.S. and industrialized world. The way private firms have sorted and segregated workers by skill and pay drives disparity in ways that require a closer look from policymakers.
The Changing Shape of Firms
From overpaid corporate executives to job-thieving technology, past research has pointed to a number of different culprits behind the rise in income inequality. But University of Minnesota economist Fatih Guvenen, along with four other researchers, has unveiled a fresh perspective, one they believe deserves a closer look.
Their recent research finds much of U.S. income inequality can be explained in the mundane arena of company organization charts. That is, the way firms shape and reshape the way they do business.
The conclusions are drawn from a staggering amount of government data, assembled and analyzed for the first time across a vast stretch of time.
The study, the first of its kind, required gathering payroll and employment records of an average of 70 million workers at more than five million firms from 1981 through 2013. The job involved matching Social Security records with Employer Identification Numbers in a compilation that would strain, if not break, standards spreadsheets.
“Our data set has several key advantages for studying firms and inequality,” the authors of the study wrote. “It is the only U.S. data set covering 100% of workers and firms for the entire period of the rise in inequality. It has uncapped W-2 earnings capturing a large share of earnings even at the very top, it has no lower earnings limit, and it has information on firms rather than establishments.”
Researchers found what they described as a “strikingly wide” distribution of worker pay in 2013. The range extended from $9,800 for the bottom 10 percent to $36,000 at the median and $104,000 for the top 10 percent to $316,000 for the top 1 percent.
The comprehensive analysis upended many conventional explanations for why income equality has grown and found less-obvious forces that may be hard to counterbalance.
Disparity within firms – with the pay of a handful of workers rocketing away from everyone else on the payroll – is an oft-told tale of income inequality. The story is largely wrong on two fronts.
First, the study found that nearly 70 percent of income inequality can be traced to disparities in pay across firms. That is, some firms are paying far more than others. Less than a third of the rising income gap can be found within the vast majority of firms.
Moreover, only a tiny fraction of companies – concentrated among the biggest firms in the nation – have been showering riches exclusively on the top echelon of management.
At these companies with 10,000 or more on the payroll, CEOs routinely command 300 times or more than what the average worker at the same firm makes. Public discussion of income inequality, not surprisingly, focuses on paydays that add up to millions, tens of millions, or hundreds of millions of dollars a year.
“A lot of the talk about CEO pay, or the very successful within a firm, driving the rise in inequality cannot be right,” Guvenen said.
Why? The ranks of those making these mega-paychecks are small. They’re at the summit of fewer than 1,000 firms. They make headlines. But what about the other 1.2 million firms with 20 employers or more?
In fact, the lopsided compensation that grabs the most attention merits the least. More than ninety-nine percent of firms have fewer than 10,000 employees and 70 percent of people drawing paychecks work at such firms.
“Even if you drop that 1 percent (workers earning more than $300,000), there has been an enormous rise in inequality among the 99 percent,” Guvenen said. “I would rather care about 300 million people than (focus on) 300 CEOs.”
But the inequality at more-typical firms has far less to do with income disparities within companies than between companies.
That was something of a surprise to Guvenen and co- researchers Jae Song, at the Social Security Administration; Till von Wachter, at UCLA; and David J. Price and Nicholas Bloom, at Stanford University.
Instead of a simple story of “winner-take-all” capitalism, they found abundant evidence that companies have reshaped themselves in recent decades. The result is a sorting and segregation of workers.
The Sorting of Jobs and Workers
Not surprisingly, firms that attract the highest-skilled workers pay more than those that don’t. But what was startling was the way companies loaded with high-skilled workers no longer employed people with lesser, more-interchangeable skills. These elite companies balk at hiring all manner of workers who once peppered any successful company’s payroll.
That list includes not only cafeteria workers, now employed by outside food services or janitors provided by custodial firms, it extends to accountants, lawyers, IT specialists, and human resources personnel.
Technology, such as scheduling software that allows contractors to provide janitors where and when they’re needed, doubtlessly makes such services more economical and efficient – but at a price to workers.
Specialized “services” firms provide such labor often for far less than what the companies once themselves paid for “back office” labor. In turn, people at such specialty firms have seen their pay stagnate or fall.
“...the rise in between-firm inequality (in average pay) can be completely explained by changes in the composition of workers between firms,” the study finds.
For people trapped in the cycle of sorting and segregating, the story gets grimmer still. Where once an engineer or accountant might collaborate with people who have more experience and know-how, and learn from them to acquire new skills, they now find themselves “segregated” in jobs that lead nowhere. With no corporate ladder to climb, they stay on the ground floor.
People learn by imitating, watching, and listening to workers who know more than they do. “A lot of the learning of employees happens on the job,” Guvenen said. “If you take a 50-year-old worker, for example, some studies say they have learned 80 percent of what they know on the job.”
But when workers are corralled into companies where others have the same level of education, experience, and skills, career progress that once was inevitable can become all-but-impossible.
That’s a sharp contrast from the 1980s and 1990s when the offices of top executives often were occupied by former engineers, lawyers, or accountants for whom advancement was both possible and expected.
Sorting and segregating has become so powerful a force that the trend may overshadow some compensation differences in education, sex, age, and other commonly studied factors in pay disparity.
“Even when you look at very narrow groups – you look at men, college-educated, age 45 to 50 – even in this group inequality is rising strongly,” Guvenen said.
Put another way, the study’s database was so large that sorting and segregating workers emerged as a clear culprit in income disparity, no matter how finely drawn the description of people being compared.
Testing that hypothesis, researchers examined whether the rise in income inequality was due to some industries becoming less productive while others saw their output surge.
In other words, can most of the variation in pay over the last three decades be explained by industries that prospered and those that didn’t?
To answer that question, the study examined compensation in 49 industries. Result: even in narrow comparisons – say, between different confectioners or different brewers – average pay across employers completely diverged over time. Sorting and segregating prevailed even among companies producing the same goods and services.
Implications of Inequality Between Firms
“Can you perpetuate inequality by putting people in these bins, boxes, where they’re very similar, where there’s no spillover from each other?” Guvenen asked. He fears that answer is yes.
Those stuck in dead end jobs not only have suffered stagnating or falling pay, but fewer benefits – including health insurance.
The sorting and segregation threatens to widen the disparity between “haves” and “have-nots” not only in terms of pay but by measures of long-term health and life expectancy.
“We believe increased worker sorting and worker segregation is potentially worrisome for several reasons,” the authors of the study wrote.
“One concern is of course that low-wage workers appear to have lost access to good jobs at high-wage firms, increasing overall aggregate inequality,” the study concludes. “Another concern is that firms play an important role in providing employee health care and pensions, so rising earnings segregation could very well spill into rising health care and retirement inequality.”
According to the paper, the phenomenon could shorten lives, as well.
“Indeed, over the last 30 years, as noted by the National Academies of Sciences, Engineering, and Medicine (2015), the correlation between income and life expectancy has increased greatly at the same time as a greater fraction of wealth for those at the top comes from benefits, including health insurance.”
Abowd, John, Francis Kramarz, and David Margolis, “High Wage Workers and High Wage Firms,” Econometrica, 1999, 67 (2), 251–333.
Abowd, John M., Kevin L. McKinney, and Nellie Zhao, “Earnings Inequality Trends in the United States: Nationally Representative Estimates from Longitudinally Linked Employer-Employee Data,” Working Paper, Cornell University 2016.
Abowd, John M., Robert H. Creecy, and Francis Kramarz, “Computing Person and Firm Effects Using Linked Longitudinal Employer-Employee Data,” Longitudinal Employer-Household Dynamics Technical Papers 2002-06, Center for Economic Studies, U.S. Census Bureau. 2002.
Abraham, Katharine G. and Susan K. Taylor, “Firms’ Use of Outside Contractors: Theory and Evidence,” Journal of Labor Economics, 1996, 14 (3), 394–424.
Acemoglu, Daron, “Changes in Unemployment and Wage Inequality: An Alternative Theory and Some Evidence,” American Economic Review, December 1999, 89 (5), 1259–1278.
Acemoglu, Daron, and David Autor, “Skills, Tasks and Technologies: Implications for Employment and Earnings,” in “Handbook of Labor Economics, Vol 4B,” Elsevier, 2011, chapter 12, pp. 1043–1166.
Acemoglu, Daron, Philippe Aghion, Claire Lelarge, John Van Reenen, and Fabrizio Zilibotti, “Technology, Information, and the Decentralization of the Firm,” Quarterly Journal of Economics, 2007, 122 (4).
Akerloff, George and Janet Yellen,“The fair wage-effort hypothesis and unemployment,” Quarterly Journal of Economics, 1990, 105 (2), 255–283.
Alvarez, Jorge, Niklas Engbom, and Christian Moser, “Firms and the Decline of Earnings Inequality in Brazil,” Working Paper, Princeton University 2015.
Andrews, M. J., L. Gill, T. Schank, and R. Upward, “High wage workers and low wage firms: negative assortative matching or limited mobility bias?,” Journal of the Royal Statistical Society: Series A (Statistics in Society), 2008, 171 (3), 673–697.
Autor, David H., “Studies of Labor Market Intermediation: Introduction,” 2009.
Autor, David H., David Dorn, and Gordon H. Hanson, “The China Syndrome: Local Labor Market Effects of Import Competition in the United States,” American Economic Review, 2013, 103 (6), 2121–2168.
Autor, David H., Frank Levy, and Richard J. Murnane, “The Skill Content Of Recent Technological Change: An Empirical Exploration,” The Quarterly Journal of Economics, November 2003, 118 (4), 1279–1333.
Autor, David, Lawrence Katz, and Melissa S. Kearney, “Trends in U.S. Wage Inequality: Revising the Revisionists,” Review of Economics and Statistics, 2008, 90 (2), 300–23.
Barth, Erling, Alex Bryson, James C. Davis, and Richard Freeman, “It’s Where You Work: Increases in Earnings Dispersion across Establishments and Individuals in the U.S.,” NBER Working Papers 20447, National Bureau of Economic Research, Inc. September 2014.
Burkhauser, Richard and Kosali Simon, “Measuring the impact of health insurance on levels and trends in inequality,” Working Paper 15811, National Bureau of Economic Research 2010.
Card, David, Ana Rute Cardoso, Jörg Heining, and Patrick Kline, “Firms and Labor Market Inequality: Evidence and Some Theory,” Technical Report 2016.
Card, David, Jörg Heining, and Patrick Kline, “Workplace Heterogeneity and the Rise of West German Wage Inequality,” The Quarterly Journal of Economics, 2013, 128 (3), 967–1015.
Cobb, Adam, Ken-Hou Lin, and Paige Gabriel, “Growing apart: the declining firm-size wage effect and its inequality consequences,” Technical Report, Wharton School at University of Pennsylvania 2016.
Davis, Steve J. and John Haltiwanger, “Wage Dispersion Between and Within U.S. Manufacturing Plants, 1963-1986,” Brookings Papers on Economic Activity: Microeconomics, 1991, pp.115–200.
Davis, Steven J. and Till Von Wachter, “Recessions and the Costs of Job Loss,” Brookings Papers on Economic Activity, 2011, 43 (2 (Fall)), 1–72.
Diamond, Rebecca, “The determinants and welfare implications of US workers diverging local choices by skill: 1980-2000,” American Economic Review, 2016, 106 (3), 479–524.
Dickens, William T. and Lawrence F. Katz, “Interindustry Wage Differences and Industry Characteristics,” in Kevin Lang and Jonathan Leonard, eds., Unemployment and the Structure of Labor Markets, Blackwell, 1987, pp.48–89.
Dube, Arindrajit and Ethan Kaplan, “Does Outsourcing Reduce Wages in the Low-Wage Service Occupations? Evidence from Janitors and Guards,” Industrial & Labor Relations Review, 2010, 63 (2), 287–306.
Faggio, Giulia, Kjell G. Salvanes, and John Van Reenen, “The evolution of inequality in productivity and wages: panel data evidence,” Working Paper 13351, National Bureau of Economic Research 2007.
Flood, Sarah, Miriam King, Steven Ruggles, and J. Robert Warren, Integrated Public Use Microdata Series, Current Population Survey: Version 4.0. [Machine-readable database]. Minneapolis: Minnesota Population Center 2015.
Goldschmidt, Deborah and Johannes Schmieder, “The Rise of Domestic Outsourcing and the Evolution of the German Wage Structure,” Working Paper 21366, National Bureau of Economic Research 2015.
Goux, Dominique and Eric Maurin, “Persistence of Interindustry Wage Differentials: A Reexamination Using Matched Worker-Firm Panel Data,” Journal of Labor Economics, 1999, 17 (3), 492–533.
Gruetter, Max and Rafael Lalive, “The Importance of Firms in Wage Determination,” Labour Economics, 2009, 16 (2), 149–160. 2009.
Guvenen, Fatih, Greg Kaplan, and Jae Song, “The Glass Ceiling and the Paper Floor: Gender Differences Among Top Earners, 1981–2012,” Working Paper, University of Minnesota 2014.
Guvenen, Fatih, Serdar Ozkan, and Jae Song, “The Nature of Countercyclical Income Risk,” Journal of Political Economy, 2014, 122 (3), 621–660.
Håkanson, Christina, Erik Lindqvist, and Jonas Vlachos, “Firms and Skills: The Evolution of Worker Sorting,” Working Paper 2015: 9, IFAU - Institute for Labour Market Policy Evaluation 2015.
Handwerker, Elizabeth Weber, “Increased Concentration of Occupations, Outsourcing, and Growing Wage Inequality in the United States,” Working paper, US Bureau of Labor Statistics 2015.
Helpman, Elhanan, Oleg Itskhoki, Marc-Andreasa Muendler, and Stephen Redding, “Trade and Inequality: From Theory to Estimation,” Working Paper, Princeton University 2015.
Holzer, Harry J., Julia I. Lane, David B. Rosenblum, and Fredrik Andersson, Where are all the good jobs going? What national and local job quality and dynamics mean for US workers, Russell Sage Foundation, 2011.
Juhn, Chinhui, Kevin M Murphy, and Brooks Pierce, “Wage Inequality and the Rise in Returns to Skill,” Journal of Political Economy, June 1993, 101 (3), 410–42.
Kaestner, Robert and Darren Lubotsky, “Health Insurance and Income Inequality,” Journal of Economic Perspectives, May 2016, 30 (2), 53–78.
Katz, Lawrence F. and David H. Autor, “Changes in the wage structure and earnings inequality,” in O. Ashenfelter and D. Card, eds., Handbook of Labor Economics, 1999.
Katz, Lawrence F. and Lawrence H. Summers, “Industry Rents: Evidence and Implications,” Brookings Papers on Economic Activity: Microeconomics, 1989, pp. 209–90.
Kopczuk, Wojciech, Emmanuel Saez, and Jae Song, “Earnings Inequality and Mobility in the United States: Evidence from Social Security Data Since 1937,” Quarterly Journal of Economics, 2010, 125 (1).
Kremer, Michael and Eric Maskin, “Wage Inequality and Segregation by Skill,” NBER Working Papers 5718, National Bureau of Economic Research, Inc August 1996.
Krueger, Alan B and Lawrence H Summers,“Efficiency wages and the inter-industry wage structure,” Econometrica: Journal of the Econometric Society, 1988, pp. 259–293.
Mishel, Lawrence and Natalie Sabadish, “CEO Pay and the top 1%: How executive compensation and financial-sector pay have fueled income inequality,” EPI Issue Brief 331, Economic Policy Institute May 2014.
Moretti, Enrico, “Real Wage Inequality,” American Economic Journal: Applied Economics, 2013, 5 (1), 65–103.
Mueller, Holger M., Paige P. Ouimet, and Elena Simintzi, “Wage Inequality and Firm Growth,” Working Paper 20876, National Bureau of Economic Research 2015.
National Academies of Sciences, Engineering, and Medicine, The Growing Gap in Life Expectancy by Income: Implications for Federal Programs and Policy Responses, Washington, DC: The National Academies Press, 2015.
Pierce, Justin and Peter Schott, “The surprisingly swift decline of US manufacturing employment,” American Economic Review, 2016.
Piketty, Thomas, Capital in the Twenty-First Century, Harvard University Press, 2013.
Piketty, Thomas, and Emmanuel Saez, “Income Inequality in the United States: 1913-1998,” Quarterly Journal of Economics, 2003, 118 (1), 1–39.
Prahalad, C. K. and Gary Hamel, “The Core Competence of the Corporation,” 1990.
Reenen, John Van, “The Creation and Capture of Rents: Wages and Innovation in a Panel of UK Companies,” Quarterly Journal of Economics, 1996, pp. 195–226.
Segal, Lewis M. and Daniel G. Sullivan, “The Growth of Temporary Services Work,” Journal of Economic Perspectives, 1997, 11 (2), 117–136.
Shue, Kelly and Richard Townsend, “Growth through rigidity: an exploration of the rise in CEO pay,” Journal of Finance, 2016.
Slichter, Sumner H., “Notes on the Structure of Wages,” Review of Economics and Statistics, 1950, pp.80–91.
Stigler, George J., “The Economics of Information,” Journal of Political Economy, 1961, pp. 213–225.
Weil, David, The Fissured Workplace, Cambridge, MA: Harvard University Press, 2014.