Bibliographische Detailangaben
| Titel: |
Estimating heterogeneous effects in static binary response panel data models. |
| Autoren: |
Semykina, Anastasia1 (AUTHOR) anastasia.semykina@rmit.edu.au |
| Quelle: |
Econometric Reviews. 2025, Vol. 44 Issue 8, p1209-1233. 25p. |
| Schlagwörter: |
*JOB satisfaction, *MONTE Carlo method, *STATISTICAL sampling, TREATMENT effect heterogeneity, CAUSAL models, PANEL analysis, GENDER differences (Sociology) |
| Abstract: |
This article considers estimating heterogeneous effects in panel data models when the outcome is binary. We argue that a common practice of splitting the sample and performing estimation separately for each subsample results in inconsistent estimators of heterogeneous parameters. The article presents methods that account for a possibility of nonrandom sorting and produce consistent estimators of causal effects in two or more heterogeneous sub-populations. Monte Carlo simulations show that considered methods perform well in finite samples. As an empirical application, the article studies gender differences in job satisfaction by occupation type. [ABSTRACT FROM AUTHOR] |
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