Document de travail

Bias In Instrumental-Variable Estimators Of Fixed-Effect Models For Count Data

Koen Jochmans

Résumé

This note looks at the properties of instrumental-variable estimators of models for non-negative outcomes in the presence of individual effects. We show that fixed-effect versions of the estimators of Mullahy (1997) and Windmeijer and Santos Silva (1997) are inconsistent under conventional asymptotics, in general, and that inference based on them in long panels requires bias correction. Such corrections are derived and their effectiveness is investigated in numerical experiments. Consistent estimation in short panels is nonetheless possible in the setting underlying Mullahy’s (1997) approach using a differencing strategy along the lines of Wooldridge (1997) and Windmeijer (2000).

Mots-clés

Count data; Bias; Fixed effects; Inconsistency; Instrumental variable; Multiplicative-error model; Poisson.;

Codes JEL

  • C23: Panel Data Models • Spatio-temporal Models
  • C26: Instrumental Variables (IV) Estimation

Référence

Koen Jochmans, « Bias In Instrumental-Variable Estimators Of Fixed-Effect Models For Count Data », TSE Working Paper, n° 21-1276, 29 octobre 2021.

Voir aussi

Publié dans

TSE Working Paper, n° 21-1276, 29 octobre 2021