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Cyclical Skill-Biased Technological Change

Author

Listed:
  • Thijs van Rens

    (CREI and Universitat Pompeu Fabra)

  • Almut Balleer

    (University of Bonn)

Abstract

Over the past two decades, technological progress has been biased towards making skilled labor more productive. The evidence for this finding is based on the persistent increase in the skill premium, parallel to an upward trend in the supply of skilled workers. What are the cyclical implications of skill-biased improvements in technology? To answer this question, we use the CPS outgoing rotation groups to construct quarterly series for the skill premium and the relative employment of skilled labor. The unconditional correlation of the skill premium with the cycle is zero. However, using a structural VAR with long run restrictions, we find that technology shocks substantially increase the price of skill. However, contrary to the conventional wisdom of capital-skill complementarity, we find that this effect is not driven by investment-specific shocks. Our results also suggest that total employment decreases only in response to skill-biased technology shocks, which we identify using a combination of short run and long run restrictions, and not in response to neutral technology shocks.

Suggested Citation

  • Thijs van Rens & Almut Balleer, 2007. "Cyclical Skill-Biased Technological Change," 2007 Meeting Papers 62, Society for Economic Dynamics.
  • Handle: RePEc:red:sed007:62
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    References listed on IDEAS

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    1. Jordi Galí & Pau Rabanal, 2005. "Technology Shocks and Aggregate Fluctuations: How Well Does the Real Business Cycle Model Fit Postwar US Data?," NBER Chapters, in: NBER Macroeconomics Annual 2004, Volume 19, pages 225-318, National Bureau of Economic Research, Inc.
    2. Michael P. Keane & Eswar S. Prasad, 1991. "The relation between skill levels and the cyclical variability of employment, hours and wages," Discussion Paper / Institute for Empirical Macroeconomics 41, Federal Reserve Bank of Minneapolis.
    3. repec:ucp:bknber:9780226304557 is not listed on IDEAS
    4. Miles S. Kimball & John G. Fernald & Susanto Basu, 2006. "Are Technology Improvements Contractionary?," American Economic Review, American Economic Association, vol. 96(5), pages 1418-1448, December.
    5. Gary Solon & Robert Barsky & Jonathan A. Parker, 1994. "Measuring the Cyclicality of Real Wages: How Important is Composition Bias?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 109(1), pages 1-25.
    6. Matthew J. Lindquist, 2004. "Capital-Skill Complementarity and Inequality Over the Business Cycle," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 7(3), pages 519-540, July.
    7. Coen Teulings & Thijs van Rens, 2008. "Education, Growth, and Income Inequality," The Review of Economics and Statistics, MIT Press, vol. 90(1), pages 89-104, February.
    8. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The Skill Content of Recent Technological Change: An Empirical Exploration," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(4), pages 1279-1333.
    9. Jaeger, David A, 1997. "Reconciling the Old and New Census Bureau Education Questions: Recommendations for Researchers," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(3), pages 300-309, July.
    10. Jordi Gali, 1999. "Technology, Employment, and the Business Cycle: Do Technology Shocks Explain Aggregate Fluctuations?," American Economic Review, American Economic Association, vol. 89(1), pages 249-271, March.
    11. Greenwood, Jeremy & Hercowitz, Zvi & Krusell, Per, 1997. "Long-Run Implications of Investment-Specific Technological Change," American Economic Review, American Economic Association, vol. 87(3), pages 342-362, June.
    12. Michael Keane & Eswar Prasad, 1993. "Skill Levels and the Cyclical Variability of Employment, Hours, and Wages," IMF Staff Papers, Palgrave Macmillan, vol. 40(4), pages 711-743, December.
    13. Jason G. Cummins & Giovanni L. Violante, 2002. "Investment-Specific Technical Change in the US (1947-2000): Measurement and Macroeconomic Consequences," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 5(2), pages 243-284, April.
    14. David H. Autor & Lawrence F. Katz & Melissa S. Kearney, 2005. "Rising Wage Inequality: The Role of Composition and Prices," Harvard Institute of Economic Research Working Papers 2096, Harvard - Institute of Economic Research.
    15. Lawrence J. Christiano & Martin Eichenbaum & Robert Vigfusson, 2003. "What Happens After a Technology Shock?," NBER Working Papers 9819, National Bureau of Economic Research, Inc.
    16. Chari, V.V. & Kehoe, Patrick J. & McGrattan, Ellen R., 2008. "Are structural VARs with long-run restrictions useful in developing business cycle theory?," Journal of Monetary Economics, Elsevier, vol. 55(8), pages 1337-1352, November.
    17. Per Krusell & Lee E. Ohanian & JosÈ-Victor RÌos-Rull & Giovanni L. Violante, 2000. "Capital-Skill Complementarity and Inequality: A Macroeconomic Analysis," Econometrica, Econometric Society, vol. 68(5), pages 1029-1054, September.
    18. Daron Acemoglu, 2002. "Technical Change, Inequality, and the Labor Market," Journal of Economic Literature, American Economic Association, vol. 40(1), pages 7-72, March.
    19. Robert J. Gordon, 1990. "The Measurement of Durable Goods Prices," NBER Books, National Bureau of Economic Research, Inc, number gord90-1.
    20. John G. Fernald, 2012. "A quarterly, utilization-adjusted series on total factor productivity," Working Paper Series 2012-19, Federal Reserve Bank of San Francisco.
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    Cited by:

    1. Cantore, C. & Ferroni, F. & León-Ledesma, M A., 2011. "Interpreting the Hours-Technology time-varying relationship," Working papers 351, Banque de France.
    2. Cantore, Cristiano & Ferroni, Filippo & León-Ledesma, Miguel A., 2017. "The dynamics of hours worked and technology," Journal of Economic Dynamics and Control, Elsevier, vol. 82(C), pages 67-82.
    3. Balleer, Almut & Enders, Zeno, 2013. "Expansionary and Contractionary Technology Improvements," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 80046, Verein für Socialpolitik / German Economic Association.
    4. Sparber, Chad & Fan, Jasmine Sijie, 2011. "Unemployment, Skills, and the Business Cycle Since 2000," Working Papers 2011-04, Department of Economics, Colgate University, revised 12 Sep 2012.
    5. Almut Balleer, 2012. "New evidence, old puzzles: Technology shocks and labor market dynamics," Quantitative Economics, Econometric Society, vol. 3(3), pages 363-392, November.
    6. Zeno Enders & Almut Balleer, 2012. "Expansionary and Contractionary Technology Shocks," 2012 Meeting Papers 812, Society for Economic Dynamics.

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    More about this item

    JEL classification:

    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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