Arbeitspapier

An exponential class of dynamic binary choice panel data models with fixed effects

This paper develops a model for dynamic binary choice panel data that allows for unobserved heterogeneity to be arbitrarily correlated with covariates. The model is of the exponential type. We derive moment conditions that enable us to eliminate the unobserved heterogeneity term and at the same time to identify the parameters of the model. We then propose GMM estimators that are consistent and asymptotically normally distributed at the root-N rate. We also study the conditional likelihood approach, which can only identify the effect of state dependence in our case. Monte Carlo experiments demonstrate the finite sample performance of our GMM estimators.

Sprache
Englisch

Erschienen in
Series: IZA Discussion Papers ; No. 7054

Klassifikation
Wirtschaft
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
Thema
dynamic discrete choice
fixed effects
panel data
initial values
GMM
CMLE
Diskrete Entscheidung
Panel
Momentenmethode
Theorie

Ereignis
Geistige Schöpfung
(wer)
Al-Sadoon, Majid M.
Li, Tong
Pesaran, Mohammad Hashem
Ereignis
Veröffentlichung
(wer)
Institute for the Study of Labor (IZA)
(wo)
Bonn
(wann)
2012

Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

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

  • Al-Sadoon, Majid M.
  • Li, Tong
  • Pesaran, Mohammad Hashem
  • Institute for the Study of Labor (IZA)

Entstanden

  • 2012

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