Imputación Múltiple en Encuestas Microeconómicas
Rodrigo Alfaro () and
Marcelo Fuenzalida
Latin American Journal of Economics-formerly Cuadernos de Economía, 2009, vol. 46, issue 134, 273-288
Abstract:
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
Keywords: Información faltante (missing data); imputación múltiple; algoritmo EM/DA Algoritmo EM/DA (search for similar items in EconPapers)
JEL-codes: C11 C15 (search for similar items in EconPapers)
Date: 2009
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.economia.uc.cl/docs/134alfaa.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ioe:cuadec:v:46:y:2009:i:134:p:273-288
Ordering information: This journal article can be ordered from
Access Statistics for this article
Latin American Journal of Economics-formerly Cuadernos de Economía is currently edited by Raimundo Soto
More articles in Latin American Journal of Economics-formerly Cuadernos de Economía from Instituto de Economía. Pontificia Universidad Católica de Chile. Contact information at EDIRC.
Bibliographic data for series maintained by Jaime Casassus ().