English, Article, Journal or magazine article edition: Returns to Lying? Identifying the Effects of Misreporting When the Truth is Unobserved Yingyao Hu; Arthur Lewbel

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Bookmark: http://trove.nla.gov.au/version/6381
Physical Description
  • preprint
Language
  • English

Edition details

Title
  • Returns to Lying? Identifying the Effects of Misreporting When the Truth is Unobserved
Author
  • Yingyao Hu
  • Arthur Lewbel
Physical Description
  • preprint
Notes
  • Consider an observed binary regressor D and an unobserved binary variable D*, both of which affect some other variable Y. This paper considers nonparametric identification and estimation of the effect of D on Y, conditioning on D*=​0. For example, suppose Y is a person's wage, the unobserved D* indicates if the person has been to college, and the observed D indicates whether the individual claims to have been to college. This paper then identifies and estimates the difference in average wages between those who falsely claim college experience versus those who tell the truth about not having college. We estimate this average effect of lying to be about 6% to 20%. Nonparametric identification without observing D* is obtained either by observing a variable V that is roughly analogous to an instrument for ordinary measurement error, or by imposing restrictions on model error moments.
  • Binary regressor, misclassification, measurement error, unobserved factor, discrete factor, program evaluation, treatment effects, returns to schooling, wage model.
  • RePEc:boc:bocoec:678
Language
  • English
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