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Estimating consumption in the HFCS: Experimental results on the first wave of the HFCS

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  • Lamarche, Pierre

Abstract

In this paper, we estimate consumption in the first wave of the Eurosystem Household Finance and Consumption Survey for a subset of countries that account for around 85% of the aggregate final consumption expenditure of households in the euro area. For this purpose we use the methodology described by Browning et al. (2003), taking advantage of the few questions on consumption asked to households participating in the survey and information on consumption collected in the Household Budget Surveys. Using also the framework developed for statistical matching, we give assessments of the uncertainty related to this kind of estimation. We find that the quality of estimation varies greatly across countries and in general is sensitive to the Conditional Independence Assumption implicitly made through this exercise. At any rate, estimations of consumption (provided throughout this paper) should be used with caution, bearing in mind that they rely on strong assumptions. JEL Classification: D120, D140, D310

Suggested Citation

  • Lamarche, Pierre, 2017. "Estimating consumption in the HFCS: Experimental results on the first wave of the HFCS," Statistics Paper Series 22, European Central Bank.
    • Handle: RePEc:ecb:ecbsps:201722
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    File URL: https://www.ecb.europa.eu//pub/pdf/scpsps/ecb.sps22.en.pdf
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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. Slacalek Jiri, 2009. "What Drives Personal Consumption? The Role of Housing and Financial Wealth," The B.E. Journal of Macroeconomics, De Gruyter, vol. 9(1), pages 1-37, October.
    3. Joseph Stiglitz & Amartya K. Sen & Jean-Paul Fitoussi, 2009. "The measurement of economic performance and social progress revisited: Reflections and Overview," SciencePo Working papers Main hal-01069384, HAL.
    4. Janine Aron & John V. Duca & John Muellbauer & Keiko Murata & Anthony Murphy, 2012. "Credit, Housing Collateral, And Consumption: Evidence From Japan, The U.K., And The U.S," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 58(3), pages 397-423, September.
    5. Thomas F. Crossley & Peter Levell & Stavros Poupakis, 2022. "Regression with an imputed dependent variable," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(7), pages 1277-1294, November.
    6. Massimo Baldini & Daniele Pacifico & Federica Termini, 2015. "Imputation of missing expenditure information in standard household income surveys," Department of Economics 0049, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".
    7. Skinner, Jonathan, 1987. "A superior measure of consumption from the panel study of income dynamics," Economics Letters, Elsevier, vol. 23(2), pages 213-216.
    8. Christopher D. Carroll & Misuzu Otsuka & Jiri Slacalek, 2011. "How Large Are Housing and Financial Wealth Effects? A New Approach," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43(1), pages 55-79, February.
    9. Joseph E. Stiglitz & Amartya Sen & Jean-Paul Fitoussi, 2009. "The measurement of economic performance and social progress revisited," Documents de Travail de l'OFCE 2009-33, Observatoire Francais des Conjonctures Economiques (OFCE).
    10. 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.
    11. Holly Sutherland & Rebecca Taylor & Joanna Gomulka, 2002. "Combining Household Income and Expenditure Data in Policy Simulations," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 48(4), pages 517-536, December.
    12. Hamermesh, Daniel S, 1984. "Consumption during Retirement: The Missing Link in the Life Cycle," The Review of Economics and Statistics, MIT Press, vol. 66(1), pages 1-7, February.
    13. Massimo Baldini & Daniele Pacifico & Federica Termini, 2015. "Imputation of missing expenditure information in standard household income surveys," Center for the Analysis of Public Policies (CAPP) 0116, Universita di Modena e Reggio Emilia, Dipartimento di Economia "Marco Biagi".
    14. 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.
    15. 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.
    16. repec:bla:revinw:v:48:y:2002:i:4:p:517-36 is not listed on IDEAS
    17. repec:hal:wpspec:info:hdl:2441/5l6uh8ogmqildh09h4687h53k is not listed on IDEAS
    18. John Muellbauer, 2010. "Household decisions, credit markets and the macroeconomy: implications for the design of central bank models," BIS Working Papers 306, Bank for International Settlements.
    19. repec:hal:spmain:info:hdl:2441/5l6uh8ogmqildh09h4687h53k is not listed on IDEAS
    20. Richard Blundell & Luigi Pistaferri & Ian Preston, 2004. "Imputing consumption in the PSID using food demand estimates from the CEX," IFS Working Papers W04/27, Institute for Fiscal Studies.
    21. Jan Marcus & Rainer Siegers & Markus M. Grabka, 2013. "Preparation of Data from the New SOEP Consumption Module: Editing, Imputation, and Smoothing," Data Documentation 70, DIW Berlin, German Institute for Economic Research.
    22. Rubin, Donald B, 1986. "Statistical Matching Using File Concatenation with Adjusted Weights and Multiple Imputations," Journal of Business & Economic Statistics, American Statistical Association, vol. 4(1), pages 87-94, January.
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    Cited by:

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    2. Nicola Curci & Marco Savegnago, 2019. "Shifting taxes from labour to consumption: the efficiency-equity trade-off," Temi di discussione (Economic working papers) 1244, Bank of Italy, Economic Research and International Relations Area.
    3. Apostolos Fasianos & Reamonn Lydon, 2022. "Do households with debt cut back their consumption more? New evidence from the United Kingdom," Bulletin of Economic Research, Wiley Blackwell, vol. 74(3), pages 737-760, July.
    4. József Dombi & Ana Vranković Lacković & Jonatan Lerga, 2023. "A New Insight into Entropy Based on the Fuzzy Operators, Applied to Useful Information Extraction from Noisy Time-Frequency Distributions," Mathematics, MDPI, vol. 11(3), pages 1-23, January.
    5. Altmann Kristina & Bernard René & Le Blanc Julia & Gabor-Toth Enikö & Hebbat Malik & Kothmayr Lisa & Schmidt Tobias & Tzamourani Panagiota & Werner Daniel & Zhu Junyi, 2020. "The Panel on Household Finances (PHF) – Microdata on household wealth in Germany," German Economic Review, De Gruyter, vol. 21(3), pages 373-400, September.

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