• Masayuki Hirukawa
  • Di Liu
  • Artem Prokhorov

Economists often use matched samples, especially when dealing with earning data where some observations are missing in one sample and need to be imputed from another sample. Hirukawa and Prokhorov (2018, Journal of Econometrics 203: 344–358) show that the ordinary least-squares estimator using matched samples is inconsistent and propose two consistent estimators. We describe a new command, msreg, that implements these two consistent estimators based on two samples. The estimators attain the parametric convergence rate if the number of continuous matching variables is no greater than four.

Original languageEnglish
Pages (from-to)123-140
Number of pages18
JournalStata Journal
Volume21
Issue number1
DOIs
StatePublished - Mar 2021

    Research areas

  • bias correction, linear regression, matching estimation, msreg, st0630

    Scopus subject areas

  • Mathematics (miscellaneous)

ID: 85598804