Moment inequalities and partial identification in industrial organization

Kline, Brendan; Pakes, Ariél; Tamer, Elie

doi:10.1016/bs.hesind.2021.11.005

Cited by 3 publications

(1 citation statement)

References 179 publications

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“…Jackson and Watts (2002) indicates that this sequential decision process is a specific equilibrium selection mechanism. Kline et al (2021) discusses the difficulties and potential solutions of analyzing counterfactuals with multiple equilibria. Lee and Pakes (2009) suggests using the best response dynamics learning model (our sequential decision process) to perform counterfactual analysis with multiple equilibria.…”

Section: Literature Reviewmentioning

confidence: 99%

Individualized Treatment Allocation in Sequential Network Games

Kitagawa¹,

Wang²

2023

Preprint

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Designing individualized allocation of treatments so as to maximize the equilibrium welfare of interacting agents has many policy-relevant applications. Focusing on sequential decision games of interacting agents, this paper develops a method to obtain optimal treatment assignment rules that maximize a social welfare criterion by evaluating stationary distributions of outcomes. Stationary distributions in sequential decision games are given by Gibbs distributions, which are difficult to optimize with respect to a treatment allocation due to analytical and computational complexity. We apply a variational approximation to the stationary distribution and optimize the approximated equilibrium welfare with respect to treatment allocation using a greedy optimization algorithm. We characterize the performance of the variational approximation, deriving a performance guarantee for the greedy optimization algorithm via a welfare regret bound. We establish the convergence rate of this bound. We demonstrate the performance of our proposed method in simulation exercises.

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Section: Literature Reviewmentioning

confidence: 99%

Individualized Treatment Allocation in Sequential Network Games

Kitagawa¹,

Wang²

2023

Preprint

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Identification in Search Models with Social Information

Lomys

Tarantino

2022

SSRN Journal

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Competition Prospects in Regulated Market of a Baltic Country

Burinskienė

2023

Economies

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The author examines competition prospects in the regulated market of a selected EU country to investigate specific policy choices. Under full market regulation, the actors have the exclusive right to deliver economic transactions. (1) Literature review: The theoretical part starts with the presentation of actors’ heterogeneity and their market competition. (2) Methods: During empirical research, the author revised the cost structure and tested assumptions of the new trade theory of heterogenous firms and the impact of this heterogeneity on actors’ competition. The author formed a three-step methodology where at the beginning, the actors are described, then a regression model is formulated, and volumes of delivered services are analyzed. In the end of this study, the author investigated if the costs of regulated market participants are characterized by the distribution of Pareto and analyzed the gaps between regulated prices and the level of costs. The author applied Pareto distribution and LS regression methods in the study. (3) Results: Although the author found that the market participants in the market concerned are very different, their distribution according to the Pareto distribution function could not be confirmed. (4) Conclusions: The study shows that competition prospects in a regulated market differ. This is proven by analyzing the impact of this heterogeneity on actors’ competition. These results are essential in formulating the suggestion of economic policy.

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Moment inequalities and partial identification in industrial organization

Cited by 3 publications

References 179 publications

Individualized Treatment Allocation in Sequential Network Games

Individualized Treatment Allocation in Sequential Network Games

Identification in Search Models with Social Information

Competition Prospects in Regulated Market of a Baltic Country

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