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Does Future PC Use Determine Our Wages Today? Evidence from German Panel Data

Author

Listed:
  • Anger, Silke

    (Institute for Employment Research (IAB), Nuremberg)

  • Schwarze, Johannes

    (University of Bamberg)

Abstract
Using 1985–1999 data from the German Socio-Economic Panel Study (GSOEP) to analyze wages confirms the hypothesis that existing computer wage premiums are determined by individual ability or other unobserved individual characteristics rather than by productivity effects. While a rather large personal computer (PC) wage premium was found in the crosssectional regressions even after the inclusion of standard controls, the conventional longitudinal regression analysis revealed substantially lower or statistically insignificant coefficients, as have other studies. In addition, a new method of testing the two competing explanations for computer wage differentials against each other was found: future PC variables were employed in the wage regressions in order to obtain a further control for worker heterogeneity. The finding that future PC variables have a statistically significant effect on current wages leads one to conclude that computer wage differentials can be attributed to worker heterogeneity rather than to computer-induced productivity.

Suggested Citation

  • Anger, Silke & Schwarze, Johannes, 2002. "Does Future PC Use Determine Our Wages Today? Evidence from German Panel Data," IZA Discussion Papers 429, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp429
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    References listed on IDEAS

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    1. Hessel Oosterbeek, 1997. "Returns to Computer Use: A Simple Test on the Productivity Interpretation," Tinbergen Institute Discussion Papers 97-011/3, Tinbergen Institute.
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    5. Entorf, Horst & Kramarz, Francis, 1997. "Does unmeasured ability explain the higher wages of new technology workers?," European Economic Review, Elsevier, vol. 41(8), pages 1489-1509, August.
    6. 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.
    7. 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.
    8. de New, John & Schmidt, Christoph M., 1999. "Money for Nothing and Your Chips for Free? The Anatomy of the PC Wage Differential," IZA Discussion Papers 86, Institute of Labor Economics (IZA).
    9. Brian D. Bell, "undated". "Skill-Biased Technical Change and Wages: Evidence from a Longitudinal Data Se," Economics Papers W25., Economics Group, Nuffield College, University of Oxford.
    10. Oosterbeek, Hessel, 1997. "Returns from computer use: A simple test on the productivity interpretation," Economics Letters, Elsevier, vol. 55(2), pages 273-277, August.
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    Cited by:

    1. Benoit Dostie & Mathieu Trépanier, 2004. "Return to Computer Use and Organizational Practices of the firm," Cahiers de recherche 04-06, HEC Montréal, Institut d'économie appliquée.
    2. Schmitt, John & Wadsworth, Jonathan, 2006. "Is there an impact of household computer ownership on children's educational attainment in Britain?," Economics of Education Review, Elsevier, vol. 25(6), pages 659-673, December.
    3. Heineck, Guido & Schwarze, Johannes, 2003. "Substance Use and Earnings: The Case of Smokers in Germany," IZA Discussion Papers 743, Institute of Labor Economics (IZA).

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    More about this item

    Keywords

    technological change; Computer wage premium; future computer usage; unobserved ability;
    All these keywords.

    JEL classification:

    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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