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Measurement Error in Education and Growth Regressions

  • Portela, Miguel

    ()

    (University of Minho)

  • Alessie, Rob

    ()

    (Utrecht University)

  • Teulings, Coen

    ()

    (University of Cambridge)

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 firstdifferences.

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Paper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number 1165.

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Length: 25 pages
Date of creation: May 2004
Date of revision:
Publication status: published in: Scandinavian Journal of Economics, 2010, 112(3), 618-639
Handle: RePEc:iza:izadps:dp1165
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