Arbeitspapier
Identification in dynamic binary choice models
This paper studies identification in a binary choice panel data model with choice probabilities depending on a lagged outcome, additional observed regressors and an unobserved unit-specific effect. It is shown that with two consecutive periods of data identification is not possible (in a neighborhood of zero), even in the logistic case.
- Language
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Englisch
- Bibliographic citation
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Series: cemmap working paper ; No. CWP16/23
- Classification
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Wirtschaft
Single Equation Models; Single Variables: Panel Data Models; Spatio-temporal Models
Multiple or Simultaneous Equation Models: Panel Data Models; Spatio-temporal Models
- Subject
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Panel Data
Binary Choice
Feedback
Identification
- Event
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Geistige Schöpfung
- (who)
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Chamberlain, Gary
- Event
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Veröffentlichung
- (who)
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Centre for Microdata Methods and Practice (cemmap)
- (where)
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London
- (when)
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2023
- DOI
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doi:10.47004/wp.cem.2023.1623
- Handle
- Last update
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10.03.2025, 11:44 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Chamberlain, Gary
- Centre for Microdata Methods and Practice (cemmap)
Time of origin
- 2023