Estimating dynamic games of oligopolistic competition: an experimental investigation

We evaluate standard assumptions in the estimation of dynamic oligopoly models with laboratory data. Using an entry/exit game, we estimate structural parameters under the assumption that the data are generated by a Markov-perfect equilibrium and subsequently predict counterfactual behavior. If behav...

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المؤلفون الرئيسيون: Salz, Tobias, Vespa, Emanuel
مؤلفون آخرون: Massachusetts Institute of Technology. Department of Economics
التنسيق: مقال
اللغة:English
منشور في: Wiley 2021
الوصول للمادة أونلاين:https://hdl.handle.net/1721.1/130375
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author Salz, Tobias
Vespa, Emanuel
author2 Massachusetts Institute of Technology. Department of Economics
author_facet Massachusetts Institute of Technology. Department of Economics
Salz, Tobias
Vespa, Emanuel
author_sort Salz, Tobias
collection MIT
description We evaluate standard assumptions in the estimation of dynamic oligopoly models with laboratory data. Using an entry/exit game, we estimate structural parameters under the assumption that the data are generated by a Markov-perfect equilibrium and subsequently predict counterfactual behavior. If behavior was collusive, however, the assumption would be violated and one would mispredict counterfactuals. The laboratory allows us to compare predicted behavior to true counterfactuals implemented as treatments. Our main finding is that prediction errors due to collusion are modest in size. We also document a different deviation from equilibrium behavior (inertia) that can lead to large prediction errors.
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spelling mit-1721.1/1303752022-10-02T04:36:26Z Estimating dynamic games of oligopolistic competition: an experimental investigation Salz, Tobias Vespa, Emanuel Massachusetts Institute of Technology. Department of Economics Sloan School of Management We evaluate standard assumptions in the estimation of dynamic oligopoly models with laboratory data. Using an entry/exit game, we estimate structural parameters under the assumption that the data are generated by a Markov-perfect equilibrium and subsequently predict counterfactual behavior. If behavior was collusive, however, the assumption would be violated and one would mispredict counterfactuals. The laboratory allows us to compare predicted behavior to true counterfactuals implemented as treatments. Our main finding is that prediction errors due to collusion are modest in size. We also document a different deviation from equilibrium behavior (inertia) that can lead to large prediction errors. 2021-04-05T20:03:33Z 2021-04-05T20:03:33Z 2020-06 2021-04-05T18:14:57Z Article http://purl.org/eprint/type/JournalArticle 1756-2171 https://hdl.handle.net/1721.1/130375 Salz, Tobias and Emanuel Vespa. "Estimating dynamic games of oligopolistic competition: an experimental investigation." RAND Journal of Economics 51, 2 (June 2020): 447-469. © 2020 The RAND Corporation. en http://dx.doi.org/10.1111/1756-2171.12321 RAND Journal of Economics Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Wiley MIT web domain
spellingShingle Salz, Tobias
Vespa, Emanuel
Estimating dynamic games of oligopolistic competition: an experimental investigation
title Estimating dynamic games of oligopolistic competition: an experimental investigation
title_full Estimating dynamic games of oligopolistic competition: an experimental investigation
title_fullStr Estimating dynamic games of oligopolistic competition: an experimental investigation
title_full_unstemmed Estimating dynamic games of oligopolistic competition: an experimental investigation
title_short Estimating dynamic games of oligopolistic competition: an experimental investigation
title_sort estimating dynamic games of oligopolistic competition an experimental investigation
url https://hdl.handle.net/1721.1/130375
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AT vespaemanuel estimatingdynamicgamesofoligopolisticcompetitionanexperimentalinvestigation