Very Simple Markov-Perfect Industry Dynamics

ERN: Monopoly Pub Date : 2013-11-30 DOI:10.2139/ssrn.2631509
J. Abbring, Jeffrey R. Campbell, J. Tilly, N. Yang
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引用次数: 14

Abstract

This paper develops an econometric model of industry dynamics for concentrated markets that can be estimated very quickly from market-level panel data on the number of producers and consumers using a nested fixed-point algorithm. We show that the model has an essentially unique symmetric Markov-perfect equilibrium that can be calculated from the fixed points of a finite sequence of low-dimensional contraction mappings. Our nested fixed point procedure extends Rust's (1987) to account for the observable implications of mixed strategies on survival. We illustrate the model's empirical application with ten years of County Business Patterns data from the Motion Picture Theaters industry in 573 Micropolitan Statistical Areas. The results are suggestive of fierce competition between theaters in the market for film exhibition rights.
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非常简单的马尔可夫完美产业动态
本文开发了一个集中市场的行业动态计量经济模型,该模型可以使用嵌套不动点算法从市场层面的生产者和消费者数量面板数据中非常快速地估计出来。我们证明了该模型具有本质上唯一的对称马尔可夫完美平衡,可以从低维收缩映射的有限序列的不动点计算。我们的嵌套不动点过程扩展了Rust(1987),以解释混合策略对生存的可观察影响。我们用573个小城市统计区十年来电影影院产业的县域商业模式数据来说明该模型的实证应用。这一结果暗示了影院之间在电影放映权市场上的激烈竞争。
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