Arbeitspapier
Likelihood Estimation for Censored Random Vectors
This article shows how to construct a likelihood for a general class of censoring problems. This likelihood is proven to be valid, i.e. its maximiser is consistent and the respective root-n estimator is asymptotically efficient and normally distributed under regularity conditions. The method generalises ordinary maximum likelihood estimation as well as several standard estimators for censoring problems (e.g. tobit type I - tobit type V).
- Language
-
Englisch
- Bibliographic citation
-
Series: Discussion Paper Series ; No. 417
- Classification
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Wirtschaft
Estimation: General
Single Equation Models; Single Variables: Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
- Subject
-
Censored variables
Limited dependent variables
Multivariate methods
Random censoring
Likelihood
Schätztheorie
Regressionsanalyse
Theorie
- Event
-
Geistige Schöpfung
- (who)
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Schnedler, Wendelin
- Event
-
Veröffentlichung
- (who)
-
University of Heidelberg, Department of Economics
- (where)
-
Heidelberg
- (when)
-
2005
- Handle
- Last update
- 10.03.2025, 11:42 AM CET
Data provider
This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Schnedler, Wendelin
- University of Heidelberg, Department of Economics
Time of origin
- 2005
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