Artikel

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

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 even all, of the payoff function. We show the discount factor can be generically identified jointly with the payoff parameters. On the other hand, it is known the payoff function cannot be 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 used in Ryan ().

Language
Englisch

Bibliographic citation
Journal: Quantitative Economics ; ISSN: 1759-7331 ; Volume: 9 ; Year: 2018 ; Issue: 3 ; Pages: 1153-1194 ; New Haven, CT: The Econometric Society

Classification
Wirtschaft
Semiparametric and Nonparametric Methods: General
Single Equation Models; Single Variables: Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
Model Construction and Estimation
Subject
Discount factor
dynamic discrete choice problem
identification
estimation
switching costs

Event
Geistige Schöpfung
(who)
Komarova, Tatiana
Sanches, Fabio
Junior, Daniel Silva
Srisuma, Sorawoot
Event
Veröffentlichung
(who)
The Econometric Society
(where)
New Haven, CT
(when)
2018

DOI
doi:10.3982/QE675
Handle
Last update
10.03.2025, 11:41 AM CET

Data provider

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Object type

  • Artikel

Associated

  • Komarova, Tatiana
  • Sanches, Fabio
  • Junior, Daniel Silva
  • Srisuma, Sorawoot
  • The Econometric Society

Time of origin

  • 2018

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