Arbeitspapier

Semiparametric estimation of a panel data proportional Hazards model with fixed effects

This paper considers a panel duration model that has a proportional hazards specification with fixed effects. The paper shows how to estimate the baseline and integrated baseline hazard functions without assuming that they belong to known, finitedimensional families of functions. Existing estimators assume that the baseline hazard function belongs to a known parametric family. Therefore, the estimators presented here are more general than existing ones. This paper also presents a method for estimating the parametric part of the proportional hazards model with dependent right censoring, under which the partial likelihood estimator is inconsistent. The paper presents some Monte Carlo evidence on the small sample performance of the new estimators.

Sprache
Englisch

Erschienen in
Series: cemmap working paper ; No. CWP21/02

Klassifikation
Wirtschaft
Semiparametric and Nonparametric Methods: General
Single Equation Models; Single Variables: Panel Data Models; Spatio-temporal Models
Duration Analysis; Optimal Timing Strategies
Thema
Duration analysis , panel data , semiparametric estimation
Moral Hazard
Panel
Nichtparametrisches Verfahren
Dauer

Ereignis
Geistige Schöpfung
(wer)
Horowitz, Joel
Lee, Sokbae
Ereignis
Veröffentlichung
(wer)
Centre for Microdata Methods and Practice (cemmap)
(wo)
London
(wann)
2002

DOI
doi:10.1920/wp.cem.2002.2102
Handle
Letzte Aktualisierung
20.09.2024, 08:21 MESZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Horowitz, Joel
  • Lee, Sokbae
  • Centre for Microdata Methods and Practice (cemmap)

Entstanden

  • 2002

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