G2TT
来源类型Discussion paper
规范类型论文
来源IDDP10517
DP10517 Demand learning and firm dynamics: evidence from exporters
Nicolas Berman; Vincent Vicard; Vincent Rebeyrol
发表日期2015-03-29
出版年2015
语种英语
摘要This paper provides evidence that learning about demand is an important driver of firms' dynamics. We present a simple model with Bayesian learning in which firms are uncertain about their idiosyncratic demand parameter in each of the markets they serve, and update their beliefs as noisy information arrives in each period. The model predicts that firms update more their beliefs following a new demand shock, the younger they are. To test this learning mechanism, we make use of a specific feature of exporter-level data which contains both the values and the quantities sold by a given firm for the same product in different destination markets. This allows us to derive a methodology that identifies separately the demand shocks faced by the firms and their beliefs about future demand. We find strong support for our main prediction: The updating process appears especially strong in the first years after entry. However, the bulk of accumulated knowledge is lost during short periods of exit. Second, we consider implications of this prediction for firm growth rates and survival. Consistent with the learning model, we find that: (i) the absolute value of the mean growth rate for firms' beliefs decreases with age, as does the variance within cohorts; (ii) exit probability decreases with firms' beliefs and the demand shock the firm faces. Further, demand shocks trigger more exit in younger cohorts.
主题Industrial Organization ; International Trade and Regional Economics
关键词Demand Firm growth Learning Uncertainty
URLhttps://cepr.org/publications/dp10517
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/539349
推荐引用方式
GB/T 7714
Nicolas Berman,Vincent Vicard,Vincent Rebeyrol. DP10517 Demand learning and firm dynamics: evidence from exporters. 2015.
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