Measuring Aggregate Human Capital
AbstractIn this paper we construct a set of human capital indexes for the states of the United States for each Census year starting in 1940. In order to do so, we propose a new methodology for the construction of index numbers in panel data sets. Our method is based on an optimal approach by which we choose the 'best' set index numbers by minimizing the expected estimation error subject to some search constraints. Some of the empirical findings are that the stock of human capital in the United States grew twice as rapidly as the average years of schooling and that human capital inequality across states went up during the 1980s (while the dispersion of schooling actually fell). We conclude that using the average years of schooling for the empirical study of existing growth models may be misleading.
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Bibliographic InfoPaper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 5016.
Date of creation: Feb 1995
Date of revision:
Publication status: published as Mulligan, Casey B & Sala-i-Martin, Xavier, 2000. " Measuring Aggregate Human Capital," Journal of Economic Growth, Springer, vol. 5(3), pages 215-52, September.
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Postal: National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.
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Other versions of this item:
- Sala-i-Martin, X. & Mulligan, C.B., 1995. "Measuring Aggregate Human Capital," Papers 723, Yale - Economic Growth Center.
- Mulligan, Casey B & Sala-i-Martin, Xavier, 1995. "Measuring Aggregate Human Capital," CEPR Discussion Papers 1149, C.E.P.R. Discussion Papers.
- Casey B. Mulligan & Xavier Sala-i-Martin, 1994. "Measuring aggregate human capital," Economics Working Papers 112, Department of Economics and Business, Universitat Pompeu Fabra, revised Jan 1995.
- C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
- C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
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- Casey B. Mulligan & Xavier Sala-i-Martin, 1992. "Transitional Dynamics in Two-Sector Models of Endogenous Growth," NBER Working Papers 3986, National Bureau of Economic Research, Inc.
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