We argue that a sensible measure of the aggregate value of human capital is the ratio of total labour income per capita to the wage of a person with zero years of schooling. The reason is that total labour income not only incorporates human capital, but also physical capital: given human capital, regions with higher physical capital will tend to have higher wages for all workers and, therefore, higher labour income. We find that one way to net out the effect of aggregate physical capital on labour income is to divide labour income by the wage of a zero-schooling worker. For the average US state, our measure suggests that the value of human capital during the 1980s grew at a much larger rate than schooling. The reason has to do with movements in the relative productivities of the different workers: in some sense, some workers and some types of schooling became a lot more relevant in the 1980s and, as a result, measured human capital increased.
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Paper provided by C.E.P.R. Discussion Papers in its series CEPR Discussion Papers with number
1146.
Find related papers by JEL classification: C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data O49 - Economic Development, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Other
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