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	Provedor de dados AgEcon (2) Autor Abdulai, Awudu (1) Bia, Michela (1) Kuhlgatz, Christian (1) Mattei, Alessandra (1) Palavra-chave Generalized propensity score (2) Bias removal (1) Crop Production/Industries (1) Doseresponse (1) Doseresponse_model (1) Dose–response function (1) Export crops (1) Farm households (1) Gpscore (1) Household welfare (1) International Relations/Trade (1) Poverty (1) Research Methods/ Statistical Methods (1) Weak unconfoundedness (1) Mais... Tipo do documento Article (1) Conference Paper or Presentation (1) Ano 2011 (1) 2008 (1) País United States (2) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última Determinants and Welfare Impacts of Export Crop Cultivation - Empirical Evidence from Ghana AgEcon Kuhlgatz, Christian; Abdulai, Awudu. This paper investigates the determinants of farm households‟ participation in export cropping and the impact of export cropping on household welfare, using cross-sectional data obtained from the Ghanaian living standards survey 2005-6. Given the problem of selectivity bias that arise when households self-select into export cropping, we employ the full information maximum likelihood approach to analyze the participation decision, and generalized propensity matching approach to examine the welfare impacts of participation. The empirical results indicate that farmers facing lower transport costs and having better access to credit facilities are more likely to participate in export cropping. Estimates of the welfare impacts of export cropping generally reveal... Tipo: Conference Paper or Presentation Palavras-chave: Export crops; Farm households; Household welfare; Poverty; Generalized propensity score; Crop Production/Industries; International Relations/Trade. Ano: 2011 URL: http://purl.umn.edu/114692 A Stata package for the estimation of the dose–response function through adjustment for the generalized propensity score AgEcon Bia, Michela; Mattei, Alessandra. In this article, we briefly review the role of the propensity score in estimating dose–response functions as described in Hirano and Imbens (2004, Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives, 73–84). Then we present a set of Stata programs that estimate the propensity score in a setting with a continuous treatment, test the balancing property of the generalized propensity score, and estimate the dose–response function. We illustrate these programs by using a dataset collected by Imbens, Rubin, and Sacerdote (2001, American Economic Review 91: 778–794). Tipo: Article Palavras-chave: Gpscore; Doseresponse; Doseresponse_model; Bias removal; Dose–response function; Generalized propensity score; Weak unconfoundedness; Research Methods/ Statistical Methods. Ano: 2008 URL: http://purl.umn.edu/122599 Registros recuperados: 2 Primeira ... 1 ... Última

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