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Identification of discrete choice models for bundles and binary games

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  • Jeremy Fox

    (Institute for Fiscal Studies and Rice University)

  • Natalia Lazzati

    (Institute for Fiscal Studies)

Abstract

We study nonparametric identification of single-agent discrete choice models for bundles and binary games of complete information. We provide conditions under which we can recover both the interaction effects and the distributions of potentially correlated unobservables across goods in single-agent models and across players in games. We establish similarities in identification between these two models. Strengthening our assumptions for games, we provide an equivalence relation between discrete choice models for bundles and binary games that relies on the theory of potential games. Potential games are particularly useful for games of three or more players.

Suggested Citation

  • Jeremy Fox & Natalia Lazzati, 2013. "Identification of discrete choice models for bundles and binary games," CeMMAP working papers CWP04/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    • Handle: RePEc:ifs:cemmap:04/13
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    Cited by:

    1. Fabian Dunker & Stefan Hoderlein & Hiroaki Kaido, 2017. "Nonparametric identification of random coefficients in endogenous and heterogeneous aggregate demand models," CeMMAP working papers 11/17, Institute for Fiscal Studies.
    2. Fabian Dunker & Stefan Hoderlein & Hiroaki Kaido, 2014. "Nonparametric identification of endogenous and heterogeneous aggregate demand models: complements, bundles and the market level," CeMMAP working papers 23/14, Institute for Fiscal Studies.
    3. Eduardo Morales & Gloria Sheu & Andrés Zahler, 2014. "Gravity and Extended Gravity: Using Moment Inequalities to Estimate a Model of Export Entry," NBER Working Papers 19916, National Bureau of Economic Research, Inc.
    4. Eduardo Morales & Gloria Sheu & Andrés Zahler, 2019. "Extended Gravity," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 86(6), pages 2668-2712.

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