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Measurement error in schooling data: the OECD case

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  • Lorenzo Serrano

Abstract

The effect of human capital is difficult to estimate in cross-country analysis due to measurement errors in schooling data. Using data for OECD countries over the period 1960-1990, the reliability of the widely used Barro and Lee's data set and also the new De la Fuente and Domenech's data set is analysed. Results show that both suffer from measurement errors, but the latter seems to reflect the rate of growth of schooling more accurately, especially when taking long differences.

Suggested Citation

  • Lorenzo Serrano, 2003. "Measurement error in schooling data: the OECD case," Applied Economics Letters, Taylor & Francis Journals, vol. 10(2), pages 73-75.
  • Handle: RePEc:taf:apeclt:v:10:y:2003:i:2:p:73-75
    DOI: 10.1080/13504850210148099
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    Cited by:

    1. Etienne Wasmer & Peter Fredriksson & Ana Lamo & Julian Messina & Giovanni Peri, 2005. "The Macroeconomics of Education," Sciences Po publications info:hdl:2441/9064, Sciences Po.
    2. repec:spo:wpecon:info:hdl:2441/9064 is not listed on IDEAS
    3. Crespo Cuaresma, Jesus, 2006. "Convergence of educational attainment levels in the OECD: More data, more problems?," Economics of Education Review, Elsevier, vol. 25(2), pages 173-178, April.

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