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• W2890498187 abstract "Recent empirical studies have shown that firm growth rate distribution is not Gaussian but closely follows a Laplace distribution. This robust feature of the growth rate distribution challenges existing models based on Gibrat’s model because it predicts a Gaussian distribution. First, we analyze more than 100,000 Japanese firms and empirically show that the Laplace shape can be observed for the Japanese firms. Then, by using the theory of stochastic processes, we theoretically show that the absence of jumps causes the discrepancy between Gibrat’s model and the Laplace shape. In particular, based on the Laplace shape and the law of proportionate effect, we show that the firm growth process is a jump process. In other words, firm growth cannot be explained by the consequence of many small shocks but is determined by a few large jumps. The widely observed Laplace distribution reflects this jump property of firm growth dynamics." @default.
• W2890498187 created "2018-09-27" @default.
• W2890498187 creator A5025640518 @default.
• W2890498187 date "2019-06-01" @default.
• W2890498187 modified "2023-10-16" @default.
• W2890498187 title "Firm growth and Laplace distribution: The importance of large jumps" @default.
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• W2890498187 doi "https://doi.org/10.1016/j.jedc.2019.01.009" @default.
• W2890498187 hasPublicationYear "2019" @default.
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