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H Uman Capital in Growth Regressions : How Much Difference Does Data Quality Make ? a N Update and Further Results
| Content Provider | Semantic Scholar |
|---|---|
| Copyright Year | 2000 |
| 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 metaestimates of the coefficient of years of schooling in an aggregate CobbDouglas production function. Our results suggest that, after correcting for measurement error bias, the value of this parameter is well above 0.50. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://pareto.uab.es/wp/2000/44600.pdf |
| Alternate Webpage(s) | http://www.sepg.pap.hacienda.gob.es/sitios/sepg/es-ES/Presupuestos/Documentacion/Documents/DOCUMENTOS%20DE%20TRABAJO/D200206.pdf |
| Alternate Webpage(s) | http://pareto.uab.es/wp/2002/53702.pdf |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Academic achievement Aggregate data Attempt Coefficient Data Collection Data quality Disease regression Documented Elasticity (data store) Errors-in-variables models Estimated Extrapolation Heuristic Image noise Knowledge acquisition Organisation for Economic Co-Operation and Development Population Parameter Quantity Raw image format Revision procedure Self-information Signal-to-noise ratio Software documentation Specification Time series Weakness contents - HtmlLinkType |
| Content Type | Text |
| Resource Type | Article |