Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/92754 
Autor:innen: 
Erscheinungsjahr: 
2001
Schriftenreihe/Nr.: 
ISER Discussion Paper No. 552
Verlag: 
Osaka University, Institute of Social and Economic Research (ISER), Osaka
Zusammenfassung: 
This article develops parametric and semi-parametric, maximum likelihood estimation methods of the proportional hazard model for the case when durations are grouped and heterogeneity is not fully measured. This article also extends Ryu's (1994b) specification tests for the proportional hazard model. The proposed test statistic is easy to implement, takes into account the form of alternative hypothesis to increase power, and identifies the source and direction of non-proportionality. This article identifies the nature of the bias resulting from neglected heterogeneity. This bias is essentially a sample selection bias, well-known in the literature. Gamma and discrete distributions are used to model unobserved heterogeneity. By updating the heterogeneity distribution at each stage of duration process, this article addresses the sample selection bias. The results obtained in this article are applied to tackle left-censoring problem.
Schlagwörter: 
Binary choice model
Grouped duration
Hausman's specification test
Invariance property
Maximum likelihood estimation
Proportional hazard model
Unobserved heterogeneity
Left-censoring
Dokumentart: 
Working Paper

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