Measurement Error in Education and Growth Regressions

Miguel Portela (), Rob Alessie and Coen N. Teulings ()

No 04-040/3, Tinbergen Institute Discussion Papers from Tinbergen Institute

Abstract: Published in The Scandinavian Journal of Economics" , 112(3), 618-39.

The perpetual inventory method used for the construction of education data per country leads to systematic measurement error. This paper analyses the effect of this measurement error on GDP regressions. There is a systematic difference in the education level between census data and observations constructed from enrolment data. We discuss a methodology for correcting the measurement error. The standard attenuation bias suggests that using these corrected data would lead to a higher coefficient. Our regressions reveal the opposite. We discuss why the measurement error yields an overestimation. Our analysis contributes to an explanation of the difference between regressions based on 5 and on 10 year first-differences.

Keywords: growth; education; measurement error (search for similar items in EconPapers)
JEL-codes: I2 O4 (search for similar items in EconPapers)
Date: 2004-04-13, Revised 2005-11-24
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://papers.tinbergen.nl/04040.pdf (application/pdf)

Related works:
Journal Article: Measurement Error in Education and Growth Regressions* (2010)
Working Paper: Measurement Error in Education and Growth Regressions (2006)
Working Paper: Measurement Error in Education and Growth Regressions (2004)
Working Paper: Measurement Error in Education and Growth Regressions (2004)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:tin:wpaper:20040040

Access Statistics for this paper

More papers in Tinbergen Institute Discussion Papers from Tinbergen Institute Contact information at EDIRC.
Bibliographic data for series maintained by Tinbergen Office +31 (0)10-4088900 ().