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A direct test of the buffer-stock model of saving

Author

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  • Jappelli, Tullio
  • Padula, Mario
  • Pistaferri, Luigi
Abstract
Recent models with liquidity constraints and impatience emphasize that consumers use savings to buffer income fluctuations. When wealth is below an optimal target, consumers try to increase their buffer stock of wealth by saving more. When it is above target, they increase consumption. This important implication of the buffer stock model of saving has not been subject to direct empirical testing. We derive from the model an appropriate theoretical restriction and test it using data on working-age individuals drawn from the 2002 and 2004 Italian Surveys of Household Income and Wealth. One of the most appealing features of the survey is that it has data on the amount of wealth held for precautionary purposes, which we interpret as target wealth in a buffer stock model. The test results do not support buffer stock behavior, even among population groups that are more likely, a priori, to display such behavior. The saving behavior of young households is instead consistent with models in which impatience, relative to prudence, is not as high as in buffer stock models.

Suggested Citation

  • Jappelli, Tullio & Padula, Mario & Pistaferri, Luigi, 2007. "A direct test of the buffer-stock model of saving," CFS Working Paper Series 2007/29, Center for Financial Studies (CFS).
    • Handle: RePEc:zbw:cfswop:200729
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    Cited by:

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    3. Scott L. Fulford, 2020. "Demand for emergency savings is higher for low-income households, but so is the cost of shocks," Empirical Economics, Springer, vol. 58(6), pages 3007-3033, June.
    4. Cristina Barceló & Ernesto Villanueva, 2010. "The response of household wealth to the risk of losing the job: evidence from differences in firing costs," Working Papers 1002, Banco de España.
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    7. Luigi Ventura & Charles Yuji Horioka, 2020. "The wealth decumulation behavior of the retired elderly in Italy: the importance of bequest motives and precautionary saving," Review of Economics of the Household, Springer, vol. 18(3), pages 575-597, September.
    8. Kovacs, Agnes & Rondinelli, Concetta & Trucchi, Serena, 2021. "Permanent versus transitory income shocks over the business cycle," European Economic Review, Elsevier, vol. 139(C).
    9. Dirk Krueger & Egor Malkov & Fabrizio Perri, 2023. "How Do Households Respond to Income Shocks?," Staff Report 655, Federal Reserve Bank of Minneapolis.
    10. Castellucci, Fabrizio & Padula, Mario & Pica, Giovanni, 2011. "The age-productivity gradient: Evidence from a sample of F1 drivers," Labour Economics, Elsevier, vol. 18(4), pages 464-473, August.
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    12. Miura, Ken & Sakurai, Takeshi, 2021. "News from the Sky: An Empirical Test of Forward-Looking Behavior Among Zambian Farmers," 2021 Conference, August 17-31, 2021, Virtual 315161, International Association of Agricultural Economists.
    13. Mariacristina Rossi & Dario Sansone, 2018. "Precautionary savings and the self-employed," Small Business Economics, Springer, vol. 51(1), pages 105-127, June.
    14. Szymon Chudziak, 2022. "On the sources of economic growth, structural consistency of agent-based models and mental-accounting consumer behaviour," KAE Working Papers 2022-073, Warsaw School of Economics, Collegium of Economic Analysis.
    15. Maria Rosaria Marino & Marzia Romanelli & Martino Tasso, 2016. "Women at work: the impact of welfare and fiscal policies in a dynamic labor supply model," Temi di discussione (Economic working papers) 1084, Bank of Italy, Economic Research and International Relations Area.
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    18. Craig, Steven G. & Hemissi, Wided & Mukherjee, Satadru & Sørensen, Bent E., 2016. "How do politicians save? Buffer-stock management of unemployment insurance finance," Journal of Urban Economics, Elsevier, vol. 93(C), pages 18-29.
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    More about this item

    Keywords

    Buffer Stock Model; Precautionary Saving; Intertemporal Choice;
    All these keywords.

    JEL classification:

    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making

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