Gibrat's Law and quantile regressions : an application to firm growth
| Autor: | Emiliano Santoro, Roberta Distante, Ivan Petrella |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
HD
Economics and Econometrics Gibrat's law 05 social sciences Settore SECS-P/02 - POLITICA ECONOMICA Variance (accounting) Quantile regression Age Size Conditional quantiles 0502 economics and business Linear regression Econometrics Economics 050207 economics Nexus (standard) Firm growth Finance 050205 econometrics Quantile Rate of growth |
| ISSN: | 0165-1765 |
| Popis: | The nexus between firm growth, size and age in U.S. manufacturing is examined through the lens of quantile regression models. This methodology allows us to overcome serious shortcomings entailed by linear regression models employed by much of the existing literature, unveiling a number of important properties. Size pushes both low and high performing firms towards the median rate of growth, while age is never advantageous, and more so as firms are relatively small and grow faster. These findings support theoretical generalizations of Gibrat’s law that allow size to affect the variance of the growth process, but not its mean (Cordoba, 2008). |
| Databáze: | OpenAIRE |
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