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Human capital in growth regressions: how much difference does data quality make? An update and further results

AutorFuente, Ángel de la ; Doménech, Rafael
Palabras claveHuman capital
Growth
Measurement error
Fecha de publicación25-ago-2002
SerieUFAE and IAE Working Papers
537.02
ResumenWe 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.
URIhttp://hdl.handle.net/10261/1880
Aparece en las colecciones: (IAE) Informes y documentos de trabajo
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