G2TT
来源类型Discussion paper
规范类型论文
来源IDDP16514
DP16514 Dynamic Games in Empirical Industrial Organization
Victor Aguirregabiria; Allan Collard-Wexler; Stephen Ryan
发表日期2021-09-05
出版年2021
语种英语
摘要This survey is organized around three main topics: models, econometrics, and empirical applications. Section 2 presents the theoretical framework, introduces the concept of Markov Perfect Nash Equilibrium, discusses existence and multiplicity, and describes the representation of this equilibrium in terms of conditional choice probabilities. We also discuss extensions of the basic framework, including models in continuous time, the concepts of oblivious equilibrium and experience-based equilibrium, and dynamic games where firms have non-equilibrium beliefs. In section 3, we first provide an overview of the types of data used in this literature, before turning to a discussion of identification issues and results, and estimation methods. We review different methods to deal with multiple equilibria and large state spaces. We also describe recent developments for estimating games in continuous time and incorporating serially correlated unobservables, and discuss the use of machine learning methods to solving and estimating dynamic games. Section 4 discusses empirical applications of dynamic games in IO. We start describing the first empirical applications in this literature during the early 2000s. Then, we review recent applications dealing with innovation, antitrust and mergers, dynamic pricing, regulation, product repositioning, advertising, uncertainty and investment, airline network competition, dynamic matching, and natural resources. We conclude with our view of the progress made in this literature and the remaining challenges.
主题Industrial Organization
关键词Dynamic games Industrial organization Market competition Structural models Estimation Identification Counterfactuals
URLhttps://cepr.org/publications/dp16514-0
来源智库Centre for Economic Policy Research (United Kingdom)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/545469
推荐引用方式
GB/T 7714
Victor Aguirregabiria,Allan Collard-Wexler,Stephen Ryan. DP16514 Dynamic Games in Empirical Industrial Organization. 2021.
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