Abstract
Econometric estimators for a truncated regression model are reviewed. For each estimator, the motivations, the key assumptions, the asymptotic distribution and estimates for the asymptotic variance matrix are presented; also a new estimator is suggested. We select five practical estimators among those, and compare them through a Monte Carlo study where the response variable is simulated but the covariates are drawn from a real data set. Some practical and computational issues are addressed as well.
| Original language | English |
|---|---|
| Pages (from-to) | 200-225 |
| Number of pages | 26 |
| Journal | Statistica Neerlandica |
| Volume | 52 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - Jul 1998 |
| Externally published | Yes |
Keywords
- Robustness
- Semiparametric
- Truncated
ASJC Scopus subject areas
- Statistics and Probability
- Statistics, Probability and Uncertainty