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Imputación Múltiple en Encuestas Microeconómicas

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  • Rodrigo Alfaro
  • Marcelo Fuenzalida

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

Suggested Citation

  • Rodrigo Alfaro & Marcelo Fuenzalida, 2009. "Imputación Múltiple en Encuestas Microeconómicas," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 46(134), pages 273-288.
    • Handle: RePEc:ioe:cuadec:v:46:y:2009:i:134:p:273-288
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    File URL: http://www.economia.uc.cl/docs/134alfaa.pdf
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    References listed on IDEAS

    as
    1. Patrick Royston, 2004. "Multiple imputation of missing values," Stata Journal, StataCorp LP, vol. 4(3), pages 227-241, September.
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    Cited by:

    1. Cuesta, José Ignacio & González, Felipe & Larroulet Philippi, Cristian, 2020. "Distorted quality signals in school markets," Journal of Development Economics, Elsevier, vol. 147(C).

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    More about this item

    Keywords

    Información faltante (missing data); imputación múltiple; algoritmo EM/DA Algoritmo EM/DA;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General

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