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Interpreting the coefficient of schooling in the human capital earnings function

Listed author(s):
  • Chiswick, Barry R.

The"human capital earnings function"(HCEF) has become a fundamental tool in research on earnings, wages, and incomes in industrial and developing economies. It is accepted procedure in litigation about earnings, such as cases involving the value of lost earnings due to injury, death, or discrimination. It is also often used to make educational policy decisions based on estimates of the rate of return from schooling. The HCEF relates the natural logarithm of earnings to investments in human capital measured in time, such as years of schooling and years of post-school work experience. Among its desirable features: 1) it is not an ad hoc specification; it is derived from an identity. So the coefficients of the equation have economic interpretations; 2) it uses data effieciently; 3) it is flexible, allowing for easy incorporations of variables appropriate for a particular study; and 4) the coefficients of the HCEF are devoid of units, facilitating comparisons across space (such as countries) or across time periods (such as decades). In estimating the rate of return from schooling, the coefficient of the schooling variable is often interpreted as the rate of return from schooling. This may be the correct interpretation but the author shows that in principle -and in many circumstances- it is not. He also discusses the effects on the coeffiecient of schooling of the treatment of the labor supply (weeks worked and hours worked per week) and other measures of labor market outcomes,

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Paper provided by The World Bank in its series Policy Research Working Paper Series with number 1790.

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Date of creation: 30 Jun 1997
Handle: RePEc:wbk:wbrwps:1790
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  1. Willis, Robert J., 1987. "Wage determinants: A survey and reinterpretation of human capital earnings functions," Handbook of Labor Economics,in: O. Ashenfelter & R. Layard (ed.), Handbook of Labor Economics, edition 1, volume 1, chapter 10, pages 525-602 Elsevier.
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