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Asking income and consumption questions in the same survey: what are the risks?

Author

Listed:
  • Giulia Cifaldi

    (Bank of Italy)

  • Andrea Neri

    (Bank of Italy)

Abstract

Sample surveys providing high quality information on both total household expenditure (consumption) and income are not commonly available. Nevertheless, surveys focusing on income usually do collect some information on expenditure data. A main drawback of this practice is that it could let some researchers think that both sets of information have similar accuracy, as they are derived from the same survey. This paper provides an empirical investigation of the consequences of such an assumption. We draw on the Survey of Household Income and Wealth (SHIW, thereafter) as a case study, since it collects information on both income and consumption. We combine this survey with the information coming from other surveys that are assumed to be more reliable than the SHIW for specific items. On average, we find that the underestimation of household income is lower than the one relating to consumption. As a consequence, in the survey saving rates are likely to be overestimated. We also find evidence that measurement error in income data is proportionally higher for high incomes. This does not appear to be the case for consumption data. Household saving is likely to be overestimated, especially for households in the low income classes. Finally, we find evidence that measurement error may bias the relationship between household savings and its determinants.

Suggested Citation

  • 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.
  • Handle: RePEc:bdi:wptemi:td_908_13
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    References listed on IDEAS

    as
    1. Martin Browning & Thomas F. Crossley & Guglielmo Weber, 2003. "Asking consumption questions in general purpose surveys," Economic Journal, Royal Economic Society, vol. 113(491), pages 540-567, November.
    2. Pudney, Stephen, 2008. "Heaping and leaping: survey response behaviour and the dynamics of self-reported consumption expenditure," ISER Working Paper Series 2008-09, Institute for Social and Economic Research.
    3. Orazio P. Attanasio & Guglielmo Weber, 2010. "Consumption and Saving: Models of Intertemporal Allocation and Their Implications for Public Policy," Journal of Economic Literature, American Economic Association, vol. 48(3), pages 693-751, September.
    4. Erich Battistin, 2002. "Errors in Survey Reports of Consumption Expenditures," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 C4-2, International Conferences on Panel Data.
    5. Andrea Neri & Roberta Zizza, 2010. "Income reporting behaviour in sample surveys," Temi di discussione (Economic working papers) 777, Bank of Italy, Economic Research and International Relations Area.
    6. Leandro D�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.
    7. Orazio Attanasio & Erich Battistin & Hidehiko Ichimura, 2004. "What Really Happened to Consumption Inequality in the US?," NBER Working Papers 10338, National Bureau of Economic Research, Inc.
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    Citations

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    Cited by:

    1. Pannuzi Nicoletta & Grassi Donatella & Masi Alessandra & Lemmi Achille & Regoli Andrea, 2020. "Investigating the Effects of the Household Budget Survey Redesign on Consumption and Inequality Estimates: the Italian Experience," Journal of Official Statistics, Sciendo, vol. 36(2), pages 411-434, June.
    2. Prati, Alberto, 2017. "Hedonic recall bias. Why you should not ask people how much they earn," Journal of Economic Behavior & Organization, Elsevier, vol. 143(C), pages 78-97.
    3. Achille Lemmi & Donatella Grassi & Alessandra Masi & Nicoletta Pannuzi & Andrea Regoli, 2019. "Methodological Choices and Data Quality Issues for Official Poverty Measures: Evidences from Italy," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(1), pages 299-330, January.
    4. Pannuzi Nicoletta & Grassi Donatella & Masi Alessandra & Lemmi Achille & Regoli Andrea, 2020. "Investigating the Effects of the Household Budget Survey Redesign on Consumption and Inequality Estimates: the Italian Experience," Journal of Official Statistics, Sciendo, vol. 36(2), pages 411-434, June.
    5. Lamarche, Pierre, 2017. "Estimating consumption in the HFCS: Experimental results on the first wave of the HFCS," Statistics Paper Series 22, European Central Bank.
    6. Andrea Cutillo & Michele Raitano & Isabella Siciliani, 2022. "Income-Based and Consumption-Based Measurement of Absolute Poverty: Insights from Italy," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 161(2), pages 689-710, June.
    7. Atella, Vincenzo & Brugiavini, Agar & Pace, Noemi, 2015. "The health care system reform in China: Effects on out-of-pocket expenses and saving," China Economic Review, Elsevier, vol. 34(C), pages 182-195.
    8. Pier Luigi Conti & Daniela Marella & Andrea Neri, 2017. "Statistical matching and uncertainty analysis in combining household income and expenditure data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 26(3), pages 485-505, August.
    9. Andrea Cutillo & Mauro Scanu, 2020. "A Mixed Approach for Data Fusion of HBS and SILC," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 150(2), pages 411-437, July.
    10. Pierre Lamarche, 2015. "Can your stomach predict your total consumption?," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Indicators to support monetary and financial stability analysis: data sources and statistical methodologies, volume 39, Bank for International Settlements.
    11. Elena Pisano & Simone Tedeschi, 2014. "Micro Data Fusion of Italian Expenditures and Incomes Surveys," Working Papers in Public Economics 164, University of Rome La Sapienza, Department of Economics and Law.

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    More about this item

    Keywords

    measurement error; household income; consumption; imputation;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution

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