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Do Marital Status and Computer Usage Really Change the Wage Structure?

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  • Harry A. Krashinsky

Abstract

This analysis uses several identification strategies and data sources to control for individual ability and determine the causal effect of marital status and computer usage on wages. Although data from the CPS, NLSY and a data set of identical twins show that there are large cross-sectional effects of these variables, new econometric specifications are applied to these data which indicate that marital status and computer usage are not important causal determinants of earnings, even after adjustments are made for measurement error and within-twin differences in ability.

Suggested Citation

  • Harry A. Krashinsky, 2004. "Do Marital Status and Computer Usage Really Change the Wage Structure?," Journal of Human Resources, University of Wisconsin Press, vol. 39(3).
  • Handle: RePEc:uwp:jhriss:v:39:y:2004:i:3:p774-791
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    1. Neumark, David, 1999. "Biases in twin estimates of the return to schooling," Economics of Education Review, Elsevier, vol. 18(2), pages 143-148, April.
    2. Alan B. Krueger, 1993. "How Computers Have Changed the Wage Structure: Evidence from Microdata, 1984–1989," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(1), pages 33-60.
    3. Sanders Korenman & David Neumark, 1991. "Does Marriage Really Make Men More Productive?," Journal of Human Resources, University of Wisconsin Press, vol. 26(2), pages 282-307.
    4. Deaton, Angus, 1985. "Panel data from time series of cross-sections," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 109-126.
    5. Robert A. Nakosteen & Michael A. Zimmer, 1987. "Marital Status and Earnings of Young Men: A Model with Endogenous Selection," Journal of Human Resources, University of Wisconsin Press, vol. 22(2), pages 248-268.
    6. Bound, John & Solon, Gary, 1999. "Double trouble: on the value of twins-based estimation of the return to schooling," Economics of Education Review, Elsevier, vol. 18(2), pages 169-182, April.
    7. Chamberlain, Gary, 1982. "Multivariate regression models for panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 5-46, January.
    8. Eng Seng Loh, 1996. "Productivity Differences and the Marriage Wage Premium for White Males," Journal of Human Resources, University of Wisconsin Press, vol. 31(3), pages 566-589.
    9. Duncan, Greg J & Hill, Daniel H, 1985. "An Investigation of the Extent and Consequences of Measurement Error in Labor-Economic Survey Data," Journal of Labor Economics, University of Chicago Press, vol. 3(4), pages 508-532, October.
    10. Jeffrey S. Gray, 1997. "The Fall in Men's Return to Marriage: Declining Productivity Effects or Changing Selection?," Journal of Human Resources, University of Wisconsin Press, vol. 32(3), pages 481-504.
    11. Orley Ashenfelter & Cecilia Rouse, 1998. "Income, Schooling, and Ability: Evidence from a New Sample of Identical Twins," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(1), pages 253-284.
    12. John E. DiNardo & Jörn-Steffen Pischke, 1997. "The Returns to Computer Use Revisited: Have Pencils Changed the Wage Structure Too?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(1), pages 291-303.
    13. Greenhalgh, Christine A, 1980. "Male-Female Wage Differentials in Great Britain: Is Marriage an Equal Opportunity?," Economic Journal, Royal Economic Society, vol. 90(363), pages 751-775, December.
    14. Jacob Mincer, 1958. "Investment in Human Capital and Personal Income Distribution," Journal of Political Economy, University of Chicago Press, vol. 66(4), pages 281-281.
    15. Ashenfelter, Orley & Krueger, Alan B, 1994. "Estimates of the Economic Returns to Schooling from a New Sample of Twins," American Economic Review, American Economic Association, vol. 84(5), pages 1157-1173, December.
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