Abstract
We propose a semiparametric first-difference estimator for panel censored-selection models where the selection equation is of tobit type. The estimator allows the unit-specific term to be arbitrarily related to regressors. The estimator minimizes a convex function and does not require any smoothing. A simulation study is provided comparing our proposal with the estimators of Wooldridge (Journal of Econometrics 68 (1995) 115) and Honoré and Kyriazidou (Econometric Reviews (2000)).
Original language | English |
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Pages (from-to) | 43-49 |
Number of pages | 7 |
Journal | Economics Letters |
Volume | 70 |
Issue number | 1 |
DOIs | |
Publication status | Published - Jan 2001 |
Externally published | Yes |
Keywords
- C24
- C34
- Censored model
- Panel data
- Related-effect
- Sample selection
ASJC Scopus subject areas
- Finance
- Economics and Econometrics