• Graduate program
  • Research
  • News
  • Events
    • Summer School
      • Climate Change
      • Gender in Society
      • Inequalities in Health and Healthcare
      • Business Data Science Summer School Program
      • Receive updates
    • Events Calendar
    • Events Archive
    • Tinbergen Institute Lectures
    • Conference: Consumer Search and Markets
    • Annual Tinbergen Institute Conference
  • Summer School
    • Climate Change
    • Gender in Society
    • Inequalities in Health and Healthcare
    • Business Data Science Summer School Program
    • Receive updates
  • Alumni
  • Magazine

Kleibergen, F. (2021). Efficient size correct subset inference in homoskedastic linear instrumental variables regression Journal of Econometrics, 221(1):78--96.


  • Journal
    Journal of Econometrics

We show that Moreira{\textquoteright}s (2003) conditional critical value function for likelihood ratio (LR) tests on the structural parameter in homoskedastic linear instrumental variables (IV) regression provides a bounding critical value function for subset LR tests on one structural parameter of several for general homoskedastic linear IV regression. The resulting subset LR test is size correct under weak identification and efficient under strong identification. A power study shows that it outperforms the subset Anderson–Rubin test with conditional critical values from Guggenberger et al. (2019a) when the structural parameters are reasonably identified and has slightly less power when identification is weak.