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Análisis de Información Faltante en Encuestas Microeconómicas

Author

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  • Rodrigo Alfaro
  • Marcelo Fuenzalida

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.

Suggested Citation

  • Rodrigo Alfaro & Marcelo Fuenzalida, 2008. "Análisis de Información Faltante en Encuestas Microeconómicas," Economic Statistics Series 67, Central Bank of Chile.
    • Handle: RePEc:chb:bcchee:67
    as

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    File URL: http://www.bcentral.cl/estudios/estudios-economicos-estadisticos/pdf/see67.pdf
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    References listed on IDEAS

    as
    1. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
    2. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1.
    3. Paulo Cox & Eric Parrado & Jaime Ruiz-Tangle V, 2007. "The distribution of assets, debt and income among Chilean households," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Proceedings of the IFC Conference on "Measuring the financial position of the household sector", Basel, 30-31 August 2006 - Volume 2, volume 26, pages 172-201, Bank for International Settlements.
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