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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

  • Cristina Barceló


    (Banco de España)

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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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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  1. Anton Korinek & Johan Mistiaen & Martin Ravallion, 2006. "Survey nonresponse and the distribution of income," Journal of Economic Inequality, Springer, vol. 4(1), pages 33-55, April.
  2. Martin Browning & Annamaria Lusardi, 1995. "Household Saving: Micro Theories and Micro Facts," Department of Economics Working Papers 1995-02, McMaster University.
  3. Martin Browning & Thomas F. Crossley & Guglielmo Weber, 2003. "Asking consumption questions in general purpose surveys," Economic Journal, Royal Economic Society, vol. 113(491), pages F540-F567, November.
  4. Korinek, Anton & Mistiaen, Johan A. & Ravallion, Martin, 2007. "An econometric method of correcting for unit nonresponse bias in surveys," Journal of Econometrics, Elsevier, vol. 136(1), pages 213-235, January.
  5. 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.
  6. Giuseppe De Luca & Franco Peracchi, 2012. "Estimating Engel curves under unit and item nonresponse," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(7), pages 1076-1099, November.
  7. 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.
  8. Albarran, P., 2000. "Income Uncertainty and Precautionary Saving: Evidence from Household Rotating Panel Data," Papers 0008, Centro de Estudios Monetarios Y Financieros-.
  9. 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.
  10. 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.).
  11. Dynan, Karen E, 1993. "How Prudent Are Consumers?," Journal of Political Economy, University of Chicago Press, vol. 101(6), pages 1104-13, December.
  12. 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.
  13. 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.
  14. Cameron,A. Colin & Trivedi,Pravin K., 2005. "Microeconometrics," Cambridge Books, Cambridge University Press, number 9780521848053.
  15. Christopher D. Carroll, 1994. "How does Future Income Affect Current Consumption?," The Quarterly Journal of Economics, Oxford University Press, vol. 109(1), pages 111-147.
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