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UNDERSTANDING THE SUPPLY AND DEMAND FORCES BEHIND THE FALL AND RISE IN THE US SKILL PREMIUM

Published online by Cambridge University Press:  21 December 2017

Francisco Parro
Francisco Parro*
Affiliation:
Universidad Adolfo Ibáñez
*
Address correspondence to: Francisco Parro, Universidad Adolfo Ibáñez, School of Business, Diagonal Las Torres 2700, Santiago, Chile; e-mail: [email protected]
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Abstract

I develop an assignment model to quantify, in a unified framework, the causal effects of supply and demand forces on the evolution of the college wage premium in the US economy. Specifically, I quantify the relative contributions of four different forces: (i) a within-sector non-neutral technological change, (ii) the creation of new high-skill services/sectors, (iii) polarizing product demand shifts, and (iv) shifts in the relative supply of skilled labor. The model considers endogenous human capital accumulation. I find that positive supply shifts completely explain the fall of the skill premium during the period 1970–1980. Demand forces play a major role in the post-1980 period, when the skill premium rises. Among the demand forces, the results show an increasing contribution of polarizing product demand shifts over the decades. On the other hand, the effect of the within-sector non-neutral technological change is more important in the earlier decades of the post-1980 period.

Keywords

Skill premiumTechnological changeWage polarization
Type
Articles
Information
Macroeconomic Dynamics , Volume 23 , Issue 6 , September 2019 , pp. 2191 - 2220
Copyright
Copyright © Cambridge University Press 2017 

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Footnotes

I thank for comments of the editor, William A. Barnett, an associate editor, and two anonymous referees as well as seminar participants at Pontificia Universidad Católica de Chile, Universidad Adolfo Ibáñez, Central Bank of Chile, the 21th Meeting of the Society of Labor Economists, and the 20th Annual Meeting of the Latin American and Caribbean Economic Association.

References

REFERENCES

Acemoglu, Daron and Autor, David (2010) Skills, Tasks and Technologies: Implications for Employment and Earnings. NBER working papers 16082, National Bureau of Economic Research.Google Scholar
Autor, David and Katz, Lawrence F. (1999) Changes in the wage structure and earnings inequality. In Ashenfelter, Orley and Card, David (eds.), Handbook of Labor Economics, pp. 1463–1555. Amsterdam: Elsevier.Google Scholar
Autor, David, Katz, Lawrence F., and Krueger, Alan B. (1998) Computing inequality: Have computers changed the labor market? Quarterly Journal of Economics 113, 1169–1213.Google Scholar
Autor, David, Levy, Frank, and Murnane, Richard J. (2003) The skill content of recent technological change: An empirical investigation. Quarterly Journal of Economics 118, 1279–1333.Google Scholar
Bartel, Ann P., Ichniowski, Casey, and Shaw, Kathryn L. (2007) How does information technology really affect productivity? Plant-level comparisons of product innovation, process improvement, and worker skills. Quarterly Journal of Economics 122, 1721–1758.Google Scholar
Becker, Gary S. (1993) Human Capital: A Theoretical and Empirical Analysis, with Special Reference to Education. Chicago, IL: The University of Chicago Press.Google Scholar
Becker, Gary S., Hubbard, William, and Murphy, Kevin M. (2010) Explaining the worldwide boom in higher education of women. Journal of Human Capital 4, 203–241.10.1086/657914Google Scholar
Bound, John and Johnson, George (1992) Changes in the structure of wages in the 1980s: An evaluation of alternative explanations. American Economic Review 82, 371–392.Google Scholar
Card, David and DiNardo, John E. (2002) Skill-biased technological change and rising wage inequality: Some problems and puzzles. Journal of Labor Economics 20, 733–783.Google Scholar
Card, David and Lemieux, Thomas (2001a) Can falling supply explain the rising return to college for younger men? A cohort-based analysis. Quarterly Journal of Economics 116, 705–746.Google Scholar
Card, David and Lemieux, Thomas (2001b) Going to college to avoid the draft: The unintended legacy of the vietnam war. American Economic Review 91, 97–102.Google Scholar
Cunha, Flavio and Heckman, James (2007) Identifying and estimating the distributions of ex post and ex ante returns to schooling: A survey of recent developments. Labour Economics 14, 870–893.Google Scholar
Dillon, Eleanor W. (2016) The College Earnings Premium and Changes in College Enrollment: Testing Models of Expectation Formation. Mimeo, Arizona State University.Google Scholar
Doms, Mark, Dunne, Timothy, and Troske, Kenneth R. (1997) Workers, wages and technology. Quarterly Journal of Economics 112, 253–290.Google Scholar
Dunne, Timothy, Haltiwanger, John, and Troske, Kenneth R. (1997) Technology and jobs: Secular changes and cyclical dynamics. Carnegie-Rochester Conference Series on Public Policy 46, 107–178.Google Scholar
Fernandez, Daniel (2000) Education or Occupation? International Trends of Wage Inequality. Ph.D. Dissertation, Department of Economics, University of Chicago.Google Scholar
Goldin, Claudia, Katz, Lawrence F., and Kuziemko, Ilyana (2006) The homecoming of american college women: The reversal of the gender gap in college. Journal of Economic Perspectives 20, 133–156.Google Scholar
Goos, Maarten and Manning, Alan (2007) Lousy and lovely jobs: The rising polarization of work in Britain. Review of Economics and Statistics 89, 118–133.Google Scholar
He, Hui and Liu, Zheng (2008) Investment-specific technological change, skill accumulation, and wage inequality. Review of Economic Dynamics 11, 314–334.Google Scholar
He, Hui (2012) What drives the skill premium: Technological change or demographic variation? European Economic Review 56, 1546–1572.10.1016/j.euroecorev.2012.09.005Google Scholar
Heckman, James J., Lochner, Lance, and Taber, Christopher (1998) Explaining rising wage inequality: Explorations with a dynamic general equilibrium model of labor earnings with heterogeneous agents. Review of Economic Dynamics 1, 1–58.10.1006/redy.1997.0008Google Scholar
Jacob, Brian A. (2002) Where the Boys aren't: Non-Cognitive Kkills, Returns to School and the Gender Gap in Higher Education. NBER working papers 8964, National Bureau of Economic Research.Google Scholar
Jones, John and Yang, Fang (2016) Skill-biased technical change and the cost of higher education. Journal of Labor Economics 34, 621–662.Google Scholar
Juhn, Chinhui, Murph, Kevin M., and Pierce, Brooks (1993) Wage inequality and the rise in returns to skill. Journal of Political Economy 101, 410–442.Google Scholar
Kaboski, Joseph (2009) Education, sectoral composition and growth. Review of Economic Dynamics 12, 168–182.Google Scholar
Katz, Lawrence and Murphy, Kevin M. (1992) Changes in the wage structure 1963–1987: Supply and demand factors. Quarterly Journal of Economics 107, 35–78.Google Scholar
Lemieux, Thomas (2006) Increased residual wage inequality: Composition effects, noisy data, or rising demand for skill? American Economic Review 96, 461–498.10.1257/aer.96.3.461Google Scholar
Levy, Frank and Murnane, Richard J. (2004) The New Division of Labor: How Computers are Creating the Next Job Market. New York, NY: Princeton University Press.Google Scholar
Murphy, Kevin M. and Welch, Finis (1992) The structure of wages. Quarterly Journal of Economics 107, 285–326.Google Scholar
Murphy, Kevin M. and Welch, Finis (2001) Wage differentials in the 1990s: Is the glass half-full or half-empty. In Welch, Finis (ed.), The Causes and Consequences of Increasing Inequality, pp. 341–364. Chicago: University of Chicago Press.Google Scholar
Parro, Francisco (2012a) International evidence on the gender gap in education over the past six decades: A puzzle and an answer to it. Journal of Human Capital 6, 150–185.Google Scholar
Parro, Francisco (2012b) A supply–demand framework for understanding the U.S. gender gap in education. The B.E. Journal of Macroeconomics 12, Article 17.Google Scholar
Teulings, Coen (1995) The wage distribution in a model of the assignment of skills to jobs. Journal of Political Economy 103, 280–315.Google Scholar
Tinbergen, Jan (1956) On the theory of income distribution. Weltwirtschaftliches Archiv 77, 156–175.Google Scholar