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Análisis de Información Faltante en Encuestas Microeconómicas

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Author Info
Rodrigo Alfaro
Marcelo Fuenzalida

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Abstract

In this article we provide an executive survey of methods for missing data. We note that standard methods reduce the sample variances meanwhile bayesian methods keep track of the uncertainty associated with missing information. We discuss these methods in an empirical application using a well-known household survey. We know that the exercise is simple but it helps in the understanding of this material.

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File URL: http://www.bcentral.cl/estudios/estudios-economicos-estadisticos/pdf/see67.pdf
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Paper provided by Central Bank of Chile in its series Economic Statistics Series with number 67.

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Date of creation: Sep 2008
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Handle: RePEc:chb:bcchee:67

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  1. Patrick Royston, 2005. "Multiple imputation of missing values: update," Stata Journal, StataCorp LP, vol. 5(2), pages 188-201, June. [Downloadable!]
  2. Patrick Royston, 2005. "Multiple imputation of missing values: Update of ice," Stata Journal, StataCorp LP, vol. 5(4), pages 527-536, December. [Downloadable!]
  3. Paulo Cox & Eric Parrado & Jaime Ruiz-Tagle, 2006. "Distribution of Assets, Debt, and Income of Chilean Households," Working Papers Central Bank of Chile 388, Central Bank of Chile. [Downloadable!]
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