Identification in simple binary outcome panel data models

Author:

Honoré Bo E1,de Paula Áureo2

Affiliation:

1. Department of Economics, Princeton University, US, and The Dale T. Mortensen Centre, University of Aarhus, Denmark

2. Department of Economics, University College London, Ce MMAP and IFS, London, UK

Abstract

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).

Funder

Gregory C. Chow Econometric Research Program at Princeton University

National Science Foundation

ESRC Centre for Microdata Methods and Practice

Publisher

Oxford University Press (OUP)

Subject

Economics and Econometrics

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