Gibrat'S Law Revisited In A Transition Economy. The Hungarian Case
AbstractThe 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.
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Bibliographic InfoPaper provided by European Association of Agricultural Economists in its series 104th Seminar, September 5-8, 2007, Budapest, Hungary with number 7813.
Date of creation: 2007
Date of revision:
Gibrat's Law; selection bias; quantile regression; transition agriculture; Farm Management; Research Methods/ Statistical Methods;
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