Binary misclassification and identification in regression models

Martijn Van Hasselt, Christopher R. Bollinger

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


We study a regression model with a binary explanatory variable that is subject to misclassification errors. The regression coefficient is then only partially identified. We derive several results that relate different assumptions about the misclassification probabilities and the conditional variances to the size of the identified set.

Original languageEnglish
Pages (from-to)81-84
Number of pages4
JournalEconomics Letters
Issue number1
StatePublished - Apr 2012


  • Binary regressors
  • Homoscedasticity
  • Misclassification error
  • Partial identification

ASJC Scopus subject areas

  • Finance
  • Economics and Econometrics


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