文章基本信息

标题：GIBRAT'S LAW REVISITED IN A TRANSITION ECONOMY. THE HUNGARIAN CASE
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作者：Bakucs, Lajos Zoltan ; Ferto, Imre
期刊名称：Journal of Food Distribution Research
印刷版ISSN：0047-245X
出版年度：2007
期号：SUPPL
出版社：Food Distribution Research Society
摘要：The paper investigates the validity of Gibrat's Law in Hungarian agriculture. Employing various specifications including OLS, two-step Heckman model and quantile regressions our results strongly reject Gibrats Law for full sample. Estimations suggest that small farms tend to grow faster than larger ones. However, splitting the sample into two subgroups (corporate and family farms) we found different results. For family farms however, only OLS regression results reject Gibrat's Law, whilst the two-step Heckman models and quantile regression estimates support it. Finally, for corporate farms our results support the Law regardless of the method or size measure used. Our results indicate that there is no difference between family farms and corporate farms according to the growth trajectory.
关键词：Gibrat's Law;selection bias;quantile regression;transition agriculture