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 |
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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