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A Direct Test of the Buffer-Stock Model of Saving

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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, while, if wealth 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 Italian Survey of Household Income and Wealth. One of the most appealing features of the survey is that respondents report 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.

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  • Tullio Jappelli & Mario Padula & Luigi Pistaferri, 2005. "A Direct Test of the Buffer-Stock Model of Saving," CSEF Working Papers 150, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
  • Handle: RePEc:sef:csefwp:150
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    Cited by:

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    2. Fulford, Scott L., 2015. "The surprisingly low importance of income uncertainty for precaution," European Economic Review, Elsevier, vol. 79(C), pages 151-171.
    3. Barceló, Cristina & Villanueva, Ernesto, 2016. "The response of household wealth to the risk of job loss: Evidence from differences in severance payments," Labour Economics, Elsevier, vol. 39(C), pages 35-54.
    4. 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.
    5. 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;Working Papers Homepage.
    6. Tullio Jappelli & Mario Padula, 2016. "The Consumption and Wealth Effects of an Unanticipated Change in Lifetime Resources," Management Science, INFORMS, vol. 62(5), pages 1458-1471, May.
    7. Helena Ting & Martina Bozzola & Timothy Swanson, 2020. "Evaluating the propensity to save in South Africa using weather-income relationship," CIES Research Paper series 49-2017, Centre for International Environmental Studies, The Graduate Institute.
    8. 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.
    9. 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.
    10. Marco Percoco, 2015. "Homeownership and saving preferences: evidence from Italy," Letters in Spatial and Resource Sciences, Springer, vol. 8(2), pages 141-149, July.
    11. Mariacristina Rossi & Dario Sansone, 2018. "Precautionary savings and the self-employed," Small Business Economics, Springer, vol. 51(1), pages 105-127, June.
    12. 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.
    13. Levin, Mark (Левин, Марк) & Matrosova, Ksenia (Матросова, Ксения), 2018. "Development and Research of Economic Behavior of Households in Changing Conditions [Разработка И Исследование Экономического Поведения Домохозяйств В Изменяющихся Условиях]," Working Papers 041825, Russian Presidential Academy of National Economy and Public Administration.

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

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