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Income reporting behaviour in sample surveys

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  • Andrea Neri

    ()
    (Bank of Italy, Economics, Research and International Relations area)

  • Roberta Zizza

    ()
    (Bank of Italy, Economics, Research and International Relations area)

Abstract

This paper analyses respondents' behaviour when reporting their income sources in sample surveys and presents a method to deal with response error. Survey data relating to the number of earning recipients and to amounts received are validated using external information from administrative and statistical sources. Our findings suggest that the response bias on household income is about 12 per cent of reported figures. Misreporting is particularly severe for income from self-employment, financial assets and rents, as well as from secondary jobs. As to the distribution of response error, about 15 per cent of respondents show a high probability of misreporting. Misreporting is more diffuse among males, the older, the self-employed and respondents at the higher end of the earnings distribution.

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Bibliographic Info

Paper provided by Bank of Italy, Economic Research and International Relations Area in its series Temi di discussione (Economic working papers) with number 777.

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Date of creation: Oct 2010
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Handle: RePEc:bdi:wptemi:td_777_10

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Keywords: income distribution; response error; item response theory; SHIW; data accuracy.;

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References

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  1. Giovanni D'Alessio & Ivan Faiella, 2002. "Non-response behaviour in the Bank of ItalyÂ’s Survey of Household Income and Wealth," Temi di discussione (Economic working papers) 462, Bank of Italy, Economic Research and International Relations Area.
  2. Susanne M. Schennach & Yingyao Hu & Arthur Lewbel, 2007. "Nonparametric identification of the classical errors-in-variables model without side information," Boston College Working Papers in Economics 674, Boston College Department of Economics.
  3. repec:ese:iserwp:2008-09 is not listed on IDEAS
  4. Andrea Brandolini, 1999. "The Distribution of Personal Income in Post-War Italy: Source Description, Data Quality, and the Time Pattern of Income Inequality," Temi di discussione (Economic working papers) 350, Bank of Italy, Economic Research and International Relations Area.
  5. Ivan Faiella & Romina Gambacorta, 2007. "The Weighting Process in the SHIW," Temi di discussione (Economic working papers) 636, Bank of Italy, Economic Research and International Relations Area.
  6. Martin H. David & Christopher R. Bollinger, 2005. "I didn't tell, and I won't tell: dynamic response error in the SIPP," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(4), pages 563-569.
  7. Griliches, Zvi & Hausman, Jerry A., 1986. "Errors in variables in panel data," Journal of Econometrics, Elsevier, vol. 31(1), pages 93-118, February.
  8. Claudia Biancotti & Giovanni D'Alessio & Andrea Neri, 2008. "Measurement Error In The Bank Of Italy'S Survey Of Household Income And Wealth," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 54(3), pages 466-493, 09.
  9. repec:ese:iserwp:2007-03 is not listed on IDEAS
  10. Pissarides, Christopher A. & Weber, Guglielmo, 1989. "An expenditure-based estimate of Britain's black economy," Journal of Public Economics, Elsevier, vol. 39(1), pages 17-32, June.
  11. Leandro DÂ’Aurizio & Ivan Faiella & Stefano Iezzi & Andrea Neri, 2006. "The under-reporting of financial wealth in the Survey on Household income and Wealth," Temi di discussione (Economic working papers) 610, Bank of Italy, Economic Research and International Relations Area.
  12. Bollinger, Christopher R., 1996. "Bounding mean regressions when a binary regressor is mismeasured," Journal of Econometrics, Elsevier, vol. 73(2), pages 387-399, August.
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Cited by:
  1. Giulia Cifaldi & Andrea Neri, 2013. "Asking income and consumption questions in the same survey: what are the risks?," Temi di discussione (Economic working papers) 908, Bank of Italy, Economic Research and International Relations Area.
  2. Giovanni D'Alessio & Stefano Iezzi, 2013. "Household over-indebtedness: definition and measurement with Italian data," Questioni di Economia e Finanza (Occasional Papers) 149, Bank of Italy, Economic Research and International Relations Area.

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