Arbeitspapier
Consistent estimation of the fixed effects ordered logit model
The paper re-examines existing estimators for the panel data fixed effects ordered logit model, proposes a new one, and studies the sampling properties of these estimators in a series of Monte Carlo simulations. There are two main findings. First, we show that some of the estimators used in the literature are inconsistent, and provide reasons for the inconsistency. Second, the new estimator is never outperformed by the others, seems to be substantially more immune to small sample bias than other consistent estimators, and is easy to implement. The empirical relevance is illustrated in an application to the effect of unemployment on life satisfaction.
- Sprache
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Englisch
- Erschienen in
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Series: Working Paper ; No. 4
Single Equation Models; Single Variables: Panel Data Models; Spatio-temporal Models
Single Equation Models; Single Variables: Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
Safety; Job Satisfaction; Related Public Policy
Unemployment: Models, Duration, Incidence, and Job Search
panel data
correlated heterogeneity
incidental parameters
Panel
Logit-Modell
Monte-Carlo-Methode
Schätzung
Zufriedenheit
Arbeitslosigkeit
Schweiz
Staub, Kevin E.
Winkelmann, Rainer
- DOI
-
doi:10.5167/uzh-50780
- Handle
- Letzte Aktualisierung
-
20.09.2024, 08:23 MESZ
Datenpartner
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Objekttyp
- Arbeitspapier
Beteiligte
- Baetschmann, Gregori
- Staub, Kevin E.
- Winkelmann, Rainer
- University of Zurich, Department of Economics
Entstanden
- 2011