Data/hora: 06/06/2024 15:05:16

Provedor de dados: 	31	
País: 	United States	
Título: 	MODELING HETEROGENEITY IN PRODUCTION MODELS: EMPIRICAL EVIDENCE FROM INDIVIDUAL FARMING IN POLAND	
Autores: 	Hockmann,   Heinrich; Pieniadz,   Agata; Goraj,   Lech.	
Data: 	2010-07-07	
Ano: 	2007	
Palavras-chave: 	SFA; Random component model; Poland; Management.; Agribusiness; Farm Management; Productivity Analysis; Research Methods/ Statistical Methods; Q12; D24.	
Resumo: 	This discussion paper deals with the estimation of a random coefficient model. The virtue of this approach is that it considers firm heterogeneity, which conventional SFA models do not. Applying the model to Polish farms, the results indicate that the conventional random and fixed effect models overestimate the inefficiency score. In addition, the reasons for inefficiency are analyzed. It is shown that despite the fragmentation of Polish agriculture, there is no evidence for scale inefficiency. Moreover, inefficiency could partly be attributed to factors, which affect the management input and requirements on farms.	
Tipo: 	Working or Discussion Paper	
Idioma: 	Inglês	
Identificador: 	ISSN 1438-2172

http://purl.umn.edu/91733	
Relação: 	Institute of Agricultural Development in Central and Eastern Europe (IAMO)&gt;IAMO Discussion Papers

IAMO Discussion Papers

109	
Formato: 	29