DP4637 Measurement Error in Education and Growth Regressions

Author(s): Rob Alessie, Miguel Portela, Coen N Teulings
Publication Date: September 2004
Keyword(s): education, growth, measurement error
JEL(s): I20, O40
Programme Areas: Labour Economics
Link to this Page: cepr.org/active/publications/discussion_papers/dp.php?dpno=4637

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.