Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/77542
Authors: 
Baetschmann, Gregori
Staub, Kevin E.
Winkelmann, Rainer
Year of Publication: 
2011
Series/Report no.: 
Working Paper Series, Department of Economics, University of Zurich 4 [rev.]
Abstract: 
The paper reconsiders existing estimators for the panel data fixed effects ordered logit model, including one that has not been used in econometric studies before, and studies the small sample 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. Second, the new estimator seems to be 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 happiness. Choosing the right estimator avoids a bias of up to 30 percent in key parameters.
Subjects: 
ordered response
panel data
correlated heterogeneity
incidental parameters
JEL: 
C23
C25
J28
J64
Persistent Identifier of the first edition: 
Document Type: 
Working Paper

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