Measuring Aggregate Human Capital
AbstractWe construct a set of human capital indexes for the states of the United States for each Census year starting in 1940. 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 Yale - Economic Growth Center in its series Papers with number 723.
Length: 48 pages
Date of creation: 1995
Date of revision:
Contact details of provider:
Postal: U.S.A.; YALE UNIVERSITY, ECONOMIC GROWTH CENTER, YALE STATION NEW-HAVEN CONNECTICUT 06520 U.S.A
Phone: (203) 432-3610
Fax: (203) 432-3898
Web page: http://www.econ.yale.edu/~egcenter/
More information through EDIRC
HUMAN RESOURCES; ECONOMIC MODELS;
Other versions of this item:
- 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.
- Casey B. Mulligan & Xavier Sala-i-Martin, 1995. "Measuring Aggregate Human Capital," NBER Working Papers 5016, National Bureau of Economic Research, Inc.
- Mulligan, Casey B & Sala-i-Martin, Xavier, 1995. "Measuring Aggregate Human Capital," CEPR Discussion Papers 1149, C.E.P.R. Discussion Papers.
- C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
- C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
- O49 - Economic Development, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Other
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Barro, Robert J. & Lee, Jong-Wha, 1993.
"International comparisons of educational attainment,"
Journal of Monetary Economics,
Elsevier, vol. 32(3), pages 363-394, December.
- Robert J. Barro & Jong-Wha Lee, 1993. "International Comparisons of Educational Attainment," NBER Working Papers 4349, National Bureau of Economic Research, Inc.
- Casey B. Mulligan & Xavier Sala-i-Martin, 1992.
"Transitional Dynamics in Two-Sector Models of Endogenous Growth,"
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- Mulligan, Casey B & Sala-i-Martin, Xavier, 1993. "Transitional Dynamics in Two-Sector Models of Endogenous Growth," The Quarterly Journal of Economics, MIT Press, vol. 108(3), pages 739-73, August.
- Mulligan, C.B. & Sala-i-Martin, X., 1992. "Transitional Dynamics in Two-Sector Models of Endogenous Growth," Papers 651, Yale - Economic Growth Center.
- Summers, Robert & Heston, Alan, 1991. "The Penn World Table (Mark 5): An Expanded Set of International Comparisons, 1950-1988," The Quarterly Journal of Economics, MIT Press, vol. 106(2), pages 327-68, May.
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