Identification in simple binary outcome panel data models | Zendy

Bo E. Honoré | Zendy; Áureo de Paula | Zendy

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Identification in simple binary outcome panel data models

Author(s) -

Bo E. Honoré,

Áureo de Paula

Publication year - 2021

Publication title -

econometrics journal

Language(s) - English

Resource type - Journals

eISSN - 1368-423X

pISSN - 1368-4221

DOI - 10.1093/ectj/utab010

Subject(s) - panel data , outcome (game theory) , identification (biology) , binary number , binary data , data set , simple (philosophy) , set (abstract data type) , limit (mathematics) , computer science , fixed effects model , econometrics , mathematics , mathematical economics , artificial intelligence , arithmetic , mathematical analysis , philosophy , botany , epistemology , biology , programming language

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

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