Human capital in growth regressions : how much difference does data quality make? An update and further results
Fuente, Ángel de la
Doménech, Rafael, 1962-
Universitat Autònoma de Barcelona. Unitat de Fonaments de l'Anàlisi Econòmica
Institut d'Anàlisi Econòmica

Date: 2006
Description: 46+appendix p.
Abstract: We construct estimates of educational attainment for a sample of OECD countries using previously unexploited sources. We follow a heuristic approach to obtain plausible time profiles for attainment levels by removing sharp breaks in the data that seem to reflect changes in classification criteria. We then construct indicators of the information content of our series and a number of previously available data sets and examine their performance in several growth specifications. We find a clear positive correlation between data quality and the size and significance of human capital coefficients in growth regressions. Using an extension of the classical errors in variables model, we construct a set of meta-estimates of the coefficient of years of schooling in an aggregate Cobb-Douglas production function. Our results suggest that, after correcting for measurement error bias, the value of this parameter is well above 0. 50.
Rights: Aquest document està subjecte a una llicència d'ús de Creative Commons, amb la qual es permet copiar, distribuir i comunicar públicament l'obra sempre que se'n citin l'autor original, la universitat, la unitat i l'institut i no se'n faci cap ús comercial ni obra derivada, tal com queda estipulat en la llicència d'ús Creative Commons
Language: Anglès
Series: Departament d'Economia i d'Història Econòmica. Unitat de Fonaments de l'Anàlisi Econòmica / Institut d'Anàlisi Econòmica (CSIC). Working papers
Series: Working papers ; 537.02
Document: Working paper
Subject: Desenvolupament econòmic ; OCDE, Països de l' ; Recursos humans



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The record appears in these collections:
Research literature > Working papers > Fundamentals Unit of the Economic Analysis. Working papers

 Record created 2009-07-15, last modified 2023-07-29



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