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
Englisch

Bibliographic citation
Series: cemmap working paper ; No. CWP16/23

Classification
Wirtschaft
Single Equation Models; Single Variables: Panel Data Models; Spatio-temporal Models
Multiple or Simultaneous Equation Models: Panel Data Models; Spatio-temporal Models
Subject
Panel Data
Binary Choice
Feedback
Identification

Event
Geistige Schöpfung
(who)
Chamberlain, Gary
Event
Veröffentlichung
(who)
Centre for Microdata Methods and Practice (cemmap)
(where)
London
(when)
2023

DOI
doi:10.47004/wp.cem.2023.1623
Handle
Last update
10.03.2025, 11:44 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Chamberlain, Gary
  • Centre for Microdata Methods and Practice (cemmap)

Time of origin

  • 2023

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