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Disentangling the importance of the precautionary saving motive

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  • Kennickell, Arthur
  • Lusardi, Annamaria
Abstract
We evaluate the importance of the precautionary saving motive by relying on a direct question about precautionary wealth from the 1995 and 1998 waves of the Survey of Consumer Finances. In this survey, a new question has been designed to elicit the amount of desired precautionary wealth. This allows us to assess the amount of precautionary accumulation and to overcome many of the problems of previous works on this topic. We find that a precautionary saving motive exists and affects virtually every type of household. However, precautionary savings account for only 8 percent of total wealth holdings. Even though this motive does not give rise to large amounts of wealth, particularly for young and middle-age households, it is particularly important for two groups: older households and business owners. Overall, we provide strong evidence that we need to take the precautionary saving motive into account when modeling saving behavior.

Suggested Citation

  • Kennickell, Arthur & Lusardi, Annamaria, 2005. "Disentangling the importance of the precautionary saving motive," CFS Working Paper Series 2006/15, Center for Financial Studies (CFS).
    • Handle: RePEc:zbw:cfswop:200615
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    6. Reichling, Felix, 2006. "Optimal Unemployment Insurance in Labor Market Equilibrium when Workers can Self-Insure," MPRA Paper 5362, University Library of Munich, Germany, revised 16 Oct 2007.
    7. Corina Boar, 2020. "Dynastic Precautionary Savings," NBER Working Papers 26635, National Bureau of Economic Research, Inc.
    8. Essig, Lothar, 2004. "Precautionary saving and old-age provisions: Do subjective saving motives measures work?," Sonderforschungsbereich 504 Publications 05-22, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
    9. Manuela Deidda, 2014. "Precautionary saving under liquidity constraints: evidence from Italy," Empirical Economics, Springer, vol. 46(1), pages 329-360, February.
    10. Corina Boar, 2017. "Dynastic Precautionary Savings," 2017 Meeting Papers 343, Society for Economic Dynamics.
    11. Campbell, J.R. & Hercowitz, Zvi, 2018. "Liquidity Constraints of the Middle Class (revision of CentER DP 2015-009)," Discussion Paper 2018-039, Tilburg University, Center for Economic Research.
    12. Filippo Pericoli & Luigi Ventura, 2012. "Family dissolution and precautionary savings: an empirical analysis," Review of Economics of the Household, Springer, vol. 10(4), pages 573-595, December.
    13. Hui He & Feng Huang & Zheng Liu & Dongming Zhu, 2014. "Breaking the “Iron Rice Bowl” and Precautionary Swings: Evidence from Chinese State-Owned Enterprises Reform," Working Paper Series 2014-4, Federal Reserve Bank of San Francisco.
    14. Yin, Penghui, 2021. "Optimal attention and heterogeneous precautionary saving behavior," Journal of Economic Dynamics and Control, Elsevier, vol. 131(C).
    15. Andrea Brandolini & Silvia Magri & Timothy M. Smeeding, 2010. "Asset-based measurement of poverty," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 29(2), pages 267-284.
    16. Lothar Essig, 2005. "Precautionary saving and old-age provisions: Do subjective saving motive measures work?," MEA discussion paper series 05084, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    17. Wako Watanabe, 2005. "Income Uncertainty and Self-Reported Precautionary Wealth: Evidence from the Japanese Micro Data," ISER Discussion Paper 0636, Institute of Social and Economic Research, Osaka University.
    18. Paolo Melindi Ghidi, 2005. "A Model for Determining Consumption and Social Assistance Demand in Uncertainty Conditions," Rivista di Politica Economica, SIPI Spa, vol. 95(6), pages 167-198, November-.
    19. Swati Prasad & Ravi Kiran & Rakesh Kumar Sharma, 2021. "Examining saving habits and discriminating on the basis of demographic factors: A descriptive study of retail investors'," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 2859-2870, April.
    20. Xing, Victor, 2016. "Higher Return for Savers and a Path toward Higher Investment," MPRA Paper 77806, University Library of Munich, Germany.
    21. Durfari Velandia Naranjo & Edwin Gameren, 2016. "Precautionary Savings in Mexico: Evidence From the Mexican Health and Aging Study," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 62(2), pages 334-361, June.
    22. Tokuoka, Kiichi, 2013. "Saving response to unemployment of a sibling," Journal of Economic Behavior & Organization, Elsevier, vol. 89(C), pages 58-75.
    23. Corina Boar, 2021. "Dynastic Precautionary Savings [“Deconstructing Life Cycle Expenditure”]," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 88(6), pages 2735-2765.
    24. Bańnkowska, Katarzyna & Borlescu, Ana Maria & Charalambakis, Evangelos & Da Silva, António Dias & Di Laurea, Davide & Dossche, Maarten & Georgarakos, Dimitris & Honkkila, Juha & Kennedy, Neale & Kenny, 2021. "ECB Consumer Expectations Survey: an overview and first evaluation," Occasional Paper Series 287, European Central Bank.
    25. Schunk Daniel, 2009. "What Determines Household Saving Behavior: An Examination of Saving Motives and Saving Decisions 06.01.2009," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 229(4), pages 467-491, August.

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    More about this item

    Keywords

    Risk; Buffer-stock Models of Saving; Old Cohorts Wealth; Business Owners Wealth;
    All these keywords.

    JEL classification:

    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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