Learning and Firm Dynamics in a Stochastic Equilibrium

Can Tian
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Abstract

Imperfect information and individual firm learning affect the cross-sectional firm size distribution and matters for social welfare and aggregate fluctuations. This paper finds a tractable setup to study firm entry, exit, growth, and distribution with heterogeneity in firm beliefs and aggregate uncertainty. A firm learns about its unknown profitability (type) over time. Aggregate uncertainty affects firms' beliefs about individual types. Firm learning results in a Pareto right tail in cross-sectional firm belief distribution, thereby shaping the firm size distribution. When firm value and household welfare are misaligned, slow learning brings additional welfare loss relative to the constrained efficiency under imperfect information. With aggregate uncertainty, transitory shocks have persistent impacts due to the learning mechanism's hangover effect.
随机均衡中的学习和企业动力学
不完全信息和个体企业学习影响企业规模的横截面分布,影响社会福利和总体波动。本文建立了一个易于处理的模型来研究在企业信念和总体不确定性条件下具有异质性的企业进入、退出、成长和分布。随着时间的推移,公司了解其未知的盈利能力(类型)。总体不确定性影响公司对个体类型的信念。企业学习在企业信念横截面分布中产生帕累托右尾,从而形成企业规模分布。当企业价值和家庭福利不一致时,相对于不完全信息约束下的效率,缓慢学习带来了额外的福利损失。在总体不确定性下,由于学习机制的宿醉效应,短暂冲击具有持续性影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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