Home Itens selecionados Provedores de dados OAI Créditos Sobre Ajuda

			Busca avançada
	Provedor de dados AgEcon (3) Autor Nitsi, Elisavet I. (3) Kaditi, Eleni A. (2) Bullock, David S. (1) Desquilbet, Marion (1) Palavra-chave C14 (2) D24 (2) Research Methods/ Statistical Methods (2) Agricultural and Food Policy (1) Agriculture (1) Bootstrap (1) C21 (1) Efficiency (1) Malmquist productivity index (1) Productivity Analysis (1) Q18 (1) Quantile Regression (1) Quantile regression (1) Research and Development/Tech Change/Emerging Technologies (1) Mais... Tipo do documento Conference Paper or Presentation (3) Ano 2010 (1) 2009 (1) 2000 (1) País United States (3) Idioma Inglês (3)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 3 Primeira ... 1 ... Última Applying regression quantiles to farm efficiency estimation AgEcon Kaditi, Eleni A.; Nitsi, Elisavet I.. This article is concerned with the methodological question of frontier production functions estimation for agriculture, and the appropriateness of regression quantiles, as a useful semi-parametric approach. Better insights are reached using the proposed methodology that provides robust farm efficiency scores estimates. Using the 2007 Farm Accountancy Data Network (FADN) data for Greece, analysis shows that the distribution of efficiency scores is closer to normality when employing regression quantiles, while underestimation of efficiency obtained by other parametric or deterministic methods based on the conditional mean can be avoided. The results further suggest that government support aimed at enhancing farms viability should be directed towards payments... Tipo: Conference Paper or Presentation Palavras-chave: Efficiency; Quantile Regression; Agriculture; Agricultural and Food Policy; Productivity Analysis; Research Methods/ Statistical Methods; C14; D24; Q18. Ano: 2010 URL: http://purl.umn.edu/61081 THE ECONOMICS OF NON-GMO SEGREGATION AND IDENTITY PRESERVATION AgEcon Bullock, David S.; Desquilbet, Marion; Nitsi, Elisavet I.. We survey grain and soybean handlers and producers in the U.S. and EU to estimate costs of preserving the identities of GMO and non-GMO crops in marketing channels. We introduce our estimates into the IFPRI IMPACT model to simulate the effects of identity preservation on farm incomes and consumer well-being. Tipo: Conference Paper or Presentation Palavras-chave: Research and Development/Tech Change/Emerging Technologies. Ano: 2000 URL: http://purl.umn.edu/21845 A two-stage productivity analysis using bootstrapped Malmquist index and quantile regression AgEcon Kaditi, Eleni A.; Nitsi, Elisavet I.. This paper examines the effects of farm characteristics and government policies in enhancing productivity growth for a sample of Greek farms, using a two-stage procedure. In the 1st-stage, non-parametric estimates of Malmquist index and its decompositions are computed, while a bootstrapping procedure is applied to provide their statistical precision. In the 2nd-stage, the productivity growth estimates are regressed on various covariates using a bootstrapped quantile regression approach. The effect that the covariates exert on productivity growth of the average producer is analyzed, as well as the marginal effect of a given covariate for individuals at different points in the conditional productivity distribution. The results indicate that there exists... Tipo: Conference Paper or Presentation Palavras-chave: Malmquist productivity index; Quantile regression; Bootstrap; Research Methods/ Statistical Methods; C14; C21; D24. Ano: 2009 URL: http://purl.umn.edu/52845 Registros recuperados: 3 Primeira ... 1 ... Última

Empresa Brasileira de Pesquisa Agropecuária - Embrapa Todos os direitos reservados, conforme Lei n° 9.610 Política de Privacidade Área restrita		Embrapa Parque Estação Biológica - PqEB s/n° Brasília, DF - Brasil - CEP 70770-901 Fone: (61) 3448-4433 - Fax: (61) 3448-4890 / 3448-4891 SAC: https://www.embrapa.br/fale-conosco