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Identification in simple binary outcome panel data models

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  • Bo E. Honoré

    (Institute for Fiscal Studies and Princeton)

  • Áureo de Paula

    (Institute for Fiscal Studies and University College London)

Abstract

This paper ?rst reviews some of the approaches that have been taken to estimate the common parameters of binary outcome models with ?xed e?ects. We limit attention to situations in which the researcher has access to a data set with a large number of units (individuals or ?rms, for example) observed over a few time periods. We then apply some of the existing approaches to study ?xed e?ects panel data versions of entry games, like the ones studied in Bresnahan and Reiss (1991) and Tamer (2003).

Suggested Citation

  • Bo E. Honoré & Áureo de Paula, 2021. "Identification in simple binary outcome panel data models," CeMMAP working papers CWP14/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    • Handle: RePEc:ifs:cemmap:14/21
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    References listed on IDEAS

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    Cited by:

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    2. Andrew Chesher & Adam Rosen & Yuanqi Zhang, 2024. "Robust analysis of short panels," IFS Working Papers WCWP01/24, Institute for Fiscal Studies.

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