Measurement Error in Schooling: Evidence from Samples of Siblings and Identical Twins

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3 Scopus citations

Abstract

The value of sibling data for identifying the causal effect of schooling on wages hinges on our ability to eliminate biases due to the mismeasurement of schooling. Analysts typically assume errors in schooling reports are "classical."In this study, we use generalized method of moments to estimate the parameters of a range of measurement error models, including forms of both classical and mean-reverting error models; we estimate the models using a sample of identical twins and a sample of non-twin siblings. The results of likelihood ratio-type tests reveal that variants of classical measurement error models fit both datasets about as well as more flexible models.

Original languageEnglish (US)
Article number14
JournalB.E. Journal of Economic Analysis and Policy
Volume5
Issue number1
DOIs
StatePublished - 2006
Externally publishedYes

Keywords

  • measurement error
  • schooling
  • within-family estimators

ASJC Scopus subject areas

  • Economics and Econometrics
  • Economics, Econometrics and Finance (miscellaneous)

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