Cross-Country Data on the Quantity of Schooling: a Selective Survey and Some Quality Measures
AbstractWe survey a number of papers that have focused on the construction of cross-country data sets on average years of schooling. We discuss the construction of the different series, compare their profiles and construct indicators of their information content. The discussion focuses on a sample of OECD countries but we also provide some results for a large non-OECD sample.
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Bibliographic InfoPaper provided by Barcelona Graduate School of Economics in its series Working Papers with number 720.
Date of creation: Sep 2013
Date of revision:
human capital; growth; measurement error;
Other versions of this item:
- Angel de la Fuente & Rafael Domenech, 2013. "Cross-country data on the quantity of schooling: a selective survey and some quality measures," Working Papers 1327, BBVA Bank, Economic Research Department.
- Angel de la Fuente & Rafael Doménech, 2013. "Cross-country data on the quantity of schooling: a selective survey and some quality measures," UFAE and IAE Working Papers 936.13, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
- O40 - Economic Development, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General
- I20 - Health, Education, and Welfare - - Education - - - General
- O30 - Economic Development, Technological Change, and Growth - - Technological Change; Research and Development; Intellectual Property Rights - - - General
- C19 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Other
This paper has been announced in the following NEP Reports:
- NEP-ALL-2013-10-11 (All new papers)
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.:
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- ?gel de la Fuente & Rafael Dom?ech, . "Human Capital In Growth Regressions: How Much Difference Does Data Quality Make?," UFAE and IAE Working Papers 446.00, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
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