Data/hora: 02/06/2024 05:07:22

Provedor de dados: 	31	
País: 	United States	
Título: 	A Stata package for the estimation of the dose–response function through adjustment for the generalized propensity score	
Autores: 	Bia,   Michela; Mattei,   Alessandra.	
Data: 	2012-04-12	
Ano: 	2008	
Palavras-chave: 	Gpscore; Doseresponse; Doseresponse_model; Bias removal; Dose–response function; Generalized propensity score; Weak unconfoundedness; Research Methods/ Statistical Methods.	
Resumo: 	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	
Idioma: 	Inglês	
Identificador: 	st0150

http://purl.umn.edu/122599	
Relação: 	Stata Journal&gt;Volume 08, Number 3, 3rd Quarter 2008	
Formato: 	20