Análisis de Información Faltante en Encuestas Microeconómicas

Rodrigo Alfaro (ralfaro@fen.uchile.cl) and Marcelo Fuenzalida

Economic Statistics Series from Central Bank of Chile

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.

Date: 2008-09
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Persistent link: https://EconPapers.repec.org/RePEc:chb:bcchee:67

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