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The impact of alternative imputation methods on the measurement of income and wealth: Evidence from the Spanish survey of household finances

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  • Cristina Barceló

    ()
    (Banco de España)

Abstract

The goal of this paper is to emphasise the importance of the way of handling missing data and its impact on the outcome of empirical studies. Using the 2002 wave of the Spanish Survey of Household Finances (EFF), I study the performance of alternative methods: listwise deletion, non-stochastic, multiple and single imputation based on linear-regression models, and hot-deck procedures. Using descriptive statistics of the marginal and conditional distributions of income and wealth and estimating mean and quantile regressions, listwise deletion brings imprecise and biased estimates, non-stochastic imputation underestimates variance and dispersion and hot deck fails to capture the potential relationships among survey variables.

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File URL: http://www.bde.es/f/webbde/SES/Secciones/Publicaciones/PublicacionesSeriadas/DocumentosTrabajo/08/Fic/dt0829e.pdf
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Bibliographic Info

Paper provided by Banco de Espa�a in its series Banco de Espa�a Working Papers with number 0829.

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Length: 63 pages
Date of creation: 2008
Date of revision:
Handle: RePEc:bde:wpaper:0829

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Keywords: Household wealth surveys; imputation methods;

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  1. Karen E. Dynan, 1993. "How prudent are consumers?," Working Paper Series / Economic Activity Section 135, Board of Governors of the Federal Reserve System (U.S.).
  2. Martin Browning & Thomas F. Crossley & Gugliemo Weber, 2002. "Asking Consumption Questions in General Purpose Surveys," CAM Working Papers 2002-05, University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics.
  3. Karen E. Dynan & Jonathan Skinner & Stephen P. Zeldes, 2004. "Do the Rich Save More?," Journal of Political Economy, University of Chicago Press, vol. 112(2), pages 397-444, April.
  4. Olympia Bover, 2005. "Wealth effects on consumption: microeconometric estimates from the Spanish survey of household finances," Banco de Espa�a Working Papers 0522, Banco de Espa�a.
  5. Martin Browning & Annamaria Lusardi, 1995. "Household Saving: Micro Theories and Micro Facts," Department of Economics Working Papers 1995-02, McMaster University.
  6. Christopher D. Carroll, 1992. "How does future income affect current consumption?," Working Paper Series / Economic Activity Section 126, Board of Governors of the Federal Reserve System (U.S.).
  7. Giuseppe De Luca & Franco Peracchi, 2010. "Estimating Engel curves under unit and item nonresponse," EIEF Working Papers Series 1004, Einaudi Institute for Economics and Finance (EIEF), revised Nov 2010.
  8. Albarran, P., 2000. "Income Uncertainty and Precautionary Saving: Evidence from Household Rotating Panel Data," Papers 0008, Centro de Estudios Monetarios Y Financieros-.
  9. Cristina Barceló, 2006. "Imputation of the 2002 wave of the Spanish survey of household finances (EFF)," Banco de Espa�a Occasional Papers 0603, Banco de Espa�a.
  10. Korinek, Anton & Mistiaen, Johan A. & Ravallion, Martin, 2005. "Survey nonresponse and the distribution of income," Policy Research Working Paper Series 3543, The World Bank.
  11. Korinek, Anton & Mistiaen, Johan A. & Ravallion, Martin, 2005. "An econometric method of correcting for unit nonresponse bias in surveys," Policy Research Working Paper Series 3711, The World Bank.
  12. Dynan, Karen E, 1993. "How Prudent Are Consumers?," Journal of Political Economy, University of Chicago Press, vol. 101(6), pages 1104-13, December.
  13. Paul Kofman & Ian G. Sharpe, 2003. "Using Multiple Imputation in the Analysis of Incomplete Observations in Finance," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 1(2), pages 216-249.
  14. J. L. Hutton, 2000. "Number needed to treat: properties and problems," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 163(3), pages 381-402.
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Cited by:
  1. Torres Munguía, Juan Armando, 2014. "Comparison of Imputation Methods for Handling Missing Categorical Data with Univariate Pattern|| Una comparación de métodos de imputación de variables categóricas con patrón univariado," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 17(1), pages 101-120, June.

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