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Joint analysis of the discount factor and payoff parameters in dynamic discrete choice games

Komarova, Tatiana, Sanches, Fábio Adriano, Silva Junior, Daniel and Srisuma, Sorawoot (2018) Joint analysis of the discount factor and payoff parameters in dynamic discrete choice games. Quantitative Economics, 9 (3). pp. 1153-1194. ISSN 1759-7323

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Identification Number: 10.3982/QE675

Abstract

Most empirical and theoretical econometric studies of dynamic discrete choice models assume the discount factor to be known. We show the knowledge of the discount factor is not necessary to identify parts, or all, of the payoff function. We show the discount factor can be generically identifed jointly with the payoff parameters. It is known the payoff function cannot nonparametrically identified without any a priori restrictions. Our identification of the discount factor is robust to any normalization choice on the payoff parameters. In IO applications normalizations are usually made on switching costs, such as entry costs and scrap values. We also show that switching costs can be nonparametrically identified, in closed-form, independently of the discount factor and other parts of the payoff function. Our identification strategies are constructive. They lead to easy to compute estimands that are global solutions. We illustrate with a Monte Carlo study and the dataset from Ryan (2012).

Item Type: Article
Official URL: http://qeconomics.org/ojs/index.php/qe
Additional Information: © 2018 The Authors
Divisions: Economics
Subjects: H Social Sciences > HB Economic Theory
JEL classification: C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods: General > C14 - Semiparametric and Nonparametric Methods
C - Mathematical and Quantitative Methods > C2 - Econometric Methods: Single Equation Models; Single Variables > C25 - Discrete Regression and Qualitative Choice Models
C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C51 - Model Construction and Estimation
Sets: Departments > Economics
Date Deposited: 26 Feb 2018 10:35
Last Modified: 20 Feb 2019 06:42
URI: http://eprints.lse.ac.uk/id/eprint/86858

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