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	Provedor de dados AgEcon (3) Autor Bakucs, Lajos Zoltan (2) Ferto, Imre (2) Bojnec, Stefan (1) Breustedt, Gunnar (1) Latruffe, Laure (1) Mees, Martin (1) Mais... Palavra-chave Gibrat's Law (3) Agricultural and Food Policy (2) Farm Management (2) Farm growth (2) Research Methods/ Statistical Methods (2) Selection bias (2) Milk quota (1) Panel unit root (1) Quantile regression (1) Quintile regression (1) Transition agriculture (1) Mais... Tipo do documento Conference Paper or Presentation (3) Ano 2010 (2) 2007 (1) País United States (3) Idioma Inglês (3)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 3 Primeira ... 1 ... Última GIBRAT'S LAW REVISITED IN A TRANSITION ECONOMY. THE HUNGARIAN CASE AgEcon Bakucs, Lajos Zoltan; Ferto, Imre. 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 Gibrat’s 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... Tipo: Conference Paper or Presentation Palavras-chave: Gibrat's Law; Selection bias; Quantile regression; Transition agriculture; Farm Management; Research Methods/ Statistical Methods. Ano: 2007 URL: http://purl.umn.edu/7813 Farm growth in Hungary, Slovenia and France AgEcon Bakucs, Lajos Zoltan; Bojnec, Stefan; Ferto, Imre; Latruffe, Laure. The article investigates the validity of Gibrat’s Law for French, Hungarian and Slovenian farms with FADN data and Heckman selection models, quantiles regressions and panel unit root tests. The contribution to the literature is threefold. First, we compare farm growth in countries with rather different farm structures. Second, we apply two different testing techniques. Finally, we focus on specialised crop and dairy farms rather than all farms, avoiding biases due to heterogeneous structures across the agricultural sector. Results reject the Gibrat’s Law for crop farms in France (except for one sub-period) and Hungary but confirm it for French and Slovenian dairy farms. Tipo: Conference Paper or Presentation Palavras-chave: Farm growth; Gibrat's Law; Panel unit root; Quintile regression; Agricultural and Food Policy; Farm Management. Ano: 2010 URL: http://purl.umn.edu/60911 GROWTH OF GERMAN DAIRY FARMS UNDER THE EU MILK QUOTA AgEcon Breustedt, Gunnar; Mees, Martin. B3_3 Tipo: Conference Paper or Presentation Palavras-chave: Farm growth; Gibrat's Law; Milk quota; Selection bias; Agricultural and Food Policy; Research Methods/ Statistical Methods. Ano: 2010 URL: http://purl.umn.edu/93950 Registros recuperados: 3 Primeira ... 1 ... Última

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