Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/94808 
Autor:innen: 
Erscheinungsjahr: 
1984
Schriftenreihe/Nr.: 
IUI Working Paper No. 128
Verlag: 
The Research Institute of Industrial Economics (IUI), Stockholm
Zusammenfassung: 
This paper investigates misspecified estimation and model selection criteria derived from the 'Information Criterion (see Akaike (1973))' for qualitative choice models. Four estimators for the 'Information Criterion' are derived for general qualitative choice models. Two of these estimators were previously derived by Akaike (1973) and Chow (1981) for arbitrary likelihood functions. The new estimators are derived by taking analytic expectations of the log likelihood function. A number of Monte Carlo experiments are performed using binominal logit models to investigate the behavior of the Information Criterion estimators with realistic sample sizes. The new analytic estimators are more accurate than the more general estimators , but they do not always perform as well in minimizing prediction or estimation error. Monte Carlo results also show that the usual asymptotic distribution properties of the maximum likelihood estimator are poor approximations for sample sizes as large as 1,000 observations with only two variables.
Schlagwörter: 
Model selection criteria
misspecified estimation
information criterion
qualitative choice models
JEL: 
C51
C52
Dokumentart: 
Working Paper

Datei(en):
Datei
Größe
1.44 MB





Publikationen in EconStor sind urheberrechtlich geschützt.