Imputación Múltiple en Encuestas Microeconómicas

In the survey analysis, the missing data problem can be managed by using Multiple Imputation (MI) methods. In this paper we show the empirical application of MI methods to the financial variables included in Chile’s Social Protection Survey 2004. Based on

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Year of publication:	2009
Authors:	Alfaro, Rodrigo ; Fuenzalida, Marcelo
Published in:	Latin American Journal of Economics-formerly Cuadernos de Economía. - Instituto de Economía, ISSN 0717-6821. - Vol. 46.2009, 134, p. 273-288
Publisher:	Instituto de Economía
Subject:	Información faltante (missing data) \| imputación múltiple \| algoritmo EM/DA Algoritmo EM/DA

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Extent:	application/pdf
Type of publication:	Article
Language:	Spanish
Classification:	C11 - Bayesian Analysis ; C15 - Statistical Simulation Methods; Monte Carlo Methods
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10008543749