%0 Journal Article
%T Imputaci¨®n Multiple en Encuestas Microecon¨®micas
%A Alfaro
%A Rodrigo
%A Fuenzalida
%A Marcelo
%J Cuadernos de econom¨ªa
%D 2009
%I Scientific Electronic Library Online
%R 10.4067/S0717-68212009000200007
%X 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 mi methods to the financial variables included in chile 's social protection survey 2004. based on a brief review mi methods we conclude that multivariate normal one is more appropiate for our case. in addition, we consider two empirical adjustments: (1) use the variables in their logistic versions, and (2) implementation the method by groups individuals. our results show that both adjustments improves the performance the mi method.
%K informaci¨®n faltante
%K imputaci¨®n multiple
%K algoritmo em/da.
%U http://www.scielo.cl/scielo.php?script=sci_abstract&pid=S0717-68212009000200007&lng=en&nrm=iso&tlng=en