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Precautionary Demand for Education, Inequality, and Technological Progress

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Abstract

This paper offers an explanation for the evolution of wage inequality within and between industries and education groups over the past several decades. The model is based on the disproportionate depreciation of technology-specific skills versus general skills due to technological progress, which occurs randomly across sectors. Consistent with empirical evidence, the model predicts that increasing randomness is the primary source of inequality growth within uneducated workers, whereas inequality growth within educated workers is determined more by changes in the composition and return to ability. Increasing randomness generates a “precautionary” demand for education, which we show empirically to be significant.

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References

  • Aghion, P., P. Howitt, and G. Violante. (2001). “Technology, Knowledge, and Inequality,” mimeo.

  • Acemoglu, D. (1998). “Why Do New Technologies Complement Skills? Directed Technical Change and Wage Inequality,” Quarterly Journal of Economics 113, 1055-1090.

    Google Scholar 

  • Autor, D. H., L. F. Katz, and A. B. Krueger. (1998). “Computing Inequality: Have Computers Changed the Labor Market?,” Quarterly Journal of Economics 113, 1169-1213.

    Google Scholar 

  • Bartel, A. N., and F. R. Lichtenberg. (1987). “The Comparative Advantage of Educated Workers in Implementing New Technologies,” Review of Economics and Statistics 69, 1-11.

    Google Scholar 

  • Bartel, A. N., and N. Sicherman. (1998). “Technological Change and the Skill Acquisition of Young Workers,” Journal of Labor Economics 16, 718-755.

    Google Scholar 

  • Berman, E., J. Bound, and Z. Griliches. (1994). “Changes in the Demand for Skilled Labor Within U.S. Manufacturing: Evidence From the Annual Survey of Manufacturers,” Quarterly Journal of Economics 109, 367-398.

    Google Scholar 

  • Bresnahan, T., and M. Trajtenberg. (1995). “General Purpose Technologies Engine of Growth?,” Journal of Econometrics, 65, 83-108.

    Google Scholar 

  • Caselli, F. (1999). “Technological Revolutions,” American Economic Review AER 89(1), 78-102.

    Google Scholar 

  • Davis, S. J., and J. Haltiwanger. (1991). “Wage Dispersion Between and Within U.S. Manufacturing Plants, 1963–86,” Brookings Papers on Economics Activity: Microeconomics 115-180.

  • Foster, A. D., and M. R. Rosenzweig. (1996). “Technical Change and Human-Capital Returns and Investments: Evidence from the Green Revolution,” American Economic Review 86(4), 931-953.

    Google Scholar 

  • Galor, O., and O. Moav. (2000). “Ability Biased Technological Transition, Wage Inequality and Growth,” Quarterly Journal of Economics 115, 469-498.

    Google Scholar 

  • Galor, O., and D. Tsiddon. (1997). “Technological Progress, Mobility, and Growth,” American Economic Review 87, 363-382.

    Google Scholar 

  • Gittleman, M., and M. Joyce. (1996). “Earnings Mobility and Long-Run Inequality: An Analysis Using Matched CPS Data,” Industrial Relations 35(2), 180-196.

    Google Scholar 

  • Goldin, C., and L. F. Katz. (1998). “The Origins of Technology-Skill Complementary,” Quarterly Journal of Economics 113(3), 693-732.

    Google Scholar 

  • Gottschalk, P., and R. Moffitt. (1994). “The Growth in Earnings Instability in the U.S. Labor Market,” Brookings Papers on Economic Activity 2, 217-254.

    Google Scholar 

  • Gottschalk, P., and R. Moffitt. (1998). “Job Instability and Insecurity for Males and Females in the 1980's and 1990's,” Working Paper, Boston College.

  • Gould, E. D. (2002). “Rising Wage Inequality, Comparative Advantage, and the Increasing Importance of General Skills in the United States,” Journal of Labor Economics, forthcoming.

  • Hassler, J., and J. Rodriguez Mora. (2000). “Intelligence, Social Mobility, and Growth,” American Economic Review 90, 888-908.

    Google Scholar 

  • Hassler, J., J. Rodriguez Mora, K. Storesletten, and F. Zilibotti. (1999). “Equilibrium Unemployment Insurance,” IIES, Stockholm.

    Google Scholar 

  • Helpman, E. and A. Rangel. (1999). “Adjusting to New Technology: Experience and Training” Journal of Economic Growth 4, 359-383.

    Google Scholar 

  • Helpman, E., and M. Trajtenberg. (1998). “Diffusion of General Purpose Technologies.” In E. Helpman (ed.), General Purpose Technology and Economic Growth. Cambridge: MIT Press.

    Google Scholar 

  • Hoxby, C. M., and B. Terry. (1998). “Explaining Rising Income and Wage Inequality Among the College-Educated,” Working Paper, Harvard University.

  • Jacobson, L. S., R. J. LaLonde, and D. G. Sullivan. (1993). “Earnings Losses of Displaced Workers,” American Economic Review 83, 685-709.

    Google Scholar 

  • Juhn, C. (1992). “Decline of Male Labor Market Participation: The Role of Declining Market Opportunities,” Quarterly Journal of Economics 107, 79-121.

    Google Scholar 

  • Juhn C., K. M. Murphy, and B. Pierce. (1993). “Wage Inequality and the Rise in Returns to Skill,” Journal of Political Economy 101, 410-442.

    Google Scholar 

  • Juhn, C., K. M. Murphy, and R. H. Topel. (1991). “Why Has the Natural Rate of Unemployment Increased Over Time?” Brookings Papers on Economic Activity 2, 75-142.

    Google Scholar 

  • Kane, T. J. (1994). “College Entry of Blacks since 1970: The Role of College Costs, Family Background, and the Returns to Education,” Journal of Political Economy 102(5), 878-911.

    Google Scholar 

  • Katz L. F., G. W. Loveman, and D. G. Blanchflower. (1995). “A Comparison of Changes in the Structure of Wages in Four OECD Countries.” In Richard B. Freeman and Lawrence F. Katz, (eds), Differences and Changes in Wage Structures. National Bureau of Economic Research.

  • Katz L. F., and K. M. Murphy. (1992). “Changes in Relative Wages 1963–1987: Supply and Demand Factors,” Quarterly Journal of Economics 113, 1215-1244.

    Google Scholar 

  • Maoz Y., and O. Moav. (1999). “Intergenerational Mobility and the Process of Development,” The Economic Journal 109, 677-697.

    Google Scholar 

  • Murnane, R., J. B. Willet, and F. Levy. (1995). “The Growing Importance of Cognitive Skills in the Wage Determination,” The Review of Economics and Statistics 2, 251-266.

    Google Scholar 

  • Murphy, K. M., and R. Topel. (1997). “Unemployment and Non-Employment,” American Economic Association Papers and Proceedings 295-300.

  • Nelson, R. R., and E. S. Phelps. (1996). “Investment in Humans, Technological Diffusion, and Economic Growth,” American Economics Review 56(2), 69-75.

    Google Scholar 

  • Nickell, S., and B. Bell. (1996). “Changes in the Distribution of Wages and Unemployment in OECD Countries,” American Economic Association Papers and Proceedings 86, 302-308.

    Google Scholar 

  • Rubinstein, Y., and D. Tsiddon. (1998). “Coping with Technological Progress: The Role of Ability in Making Inequality so Persistent,” Tel-Aviv University.

  • Schultz, T. W. (1964). Transforming Traditional Agriculture. New Haven: Yale University Press.

    Google Scholar 

  • Schultz, T. W. (1975). “The Value of the Ability to Deal with Disequilibria,” Journal of Economic Literature 13, 827-846.

    Google Scholar 

  • Topel, R. H. (1991). “Specific Capital, Mobility, and Wages: Wages Rise with Seniority,” Journal of Political Economy February, 145-176.

  • Weinberg, B. A. (2001). “Long-Term Wage Fluctuations with Industry-Specific Skills,” Journal of Labor Economics 19(1), 231-64.

    Google Scholar 

  • Welch, F., (1997). “Wages and Participation,” Journal of Labor Economics 15, pt. 2, S77-S103.

    Google Scholar 

  • Zeira, J. (1998). “Technical Progress, Employment, and Output,” Hebrew University Working Paper.

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Gould, E.D., Moav, O. & Weinberg, B.A. Precautionary Demand for Education, Inequality, and Technological Progress. Journal of Economic Growth 6, 285–315 (2001). https://doi.org/10.1023/A:1012782212348

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