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

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dc.creator Fuente, Ángel de la
dc.creator Doménech, Rafael
dc.date 2007-11-06T08:45:12Z
dc.date 2007-11-06T08:45:12Z
dc.date 2002-08-25
dc.date.accessioned 2017-01-31T00:58:04Z
dc.date.available 2017-01-31T00:58:04Z
dc.identifier http://hdl.handle.net/10261/1880
dc.identifier.uri http://dspace.mediu.edu.my:8181/xmlui/handle/10261/1880
dc.description 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.
dc.description This paper is part of a research project cofinanced by the European Fund for Regional Development and Fundación Caixa Galicia. We gratefully acknowledge additional support from the Spanish Ministry of Science and Technology through CICYT grants SEC99-1189 and SEC99-0820 and from the OECD.
dc.language eng
dc.relation UFAE and IAE Working Papers
dc.relation 537.02
dc.rights openAccess
dc.subject Human capital
dc.subject Growth
dc.subject Measurement error
dc.title Human capital in growth regressions: how much difference does data quality make? An update and further results
dc.type Documento de trabajo


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