Bounded rationality, lifecycle consumption, and Social Security
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DOI: 10.1016/j.jebo.2017.12.005
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- Xiaoyu Deng & Jing Tian & Rong Chen, 2019. "Effect of Social Security System on Consumption through Income and Uncertainty: Evidence from China," Sustainability, MDPI, vol. 11(7), pages 1-16, March.
- Chen Shou & Xiang Shengpeng & He Hongbo, 2019. "Do Time Preferences Matter in Intertemporal Consumption and Portfolio Decisions?," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 19(2), pages 1-13, June.
- Yudong Zhang & Zhangyuan Dai & Huilong Zhang & Gaojun Hu, 2024. "Research on the Impact Mechanism of Self-Quantification on Consumers’ Green Behavioral Innovation," Sustainability, MDPI, vol. 16(19), pages 1-23, September.
- Park, Hyeon, 2023. "Bounded rationality and optimal retirement age," Journal of Economic Dynamics and Control, Elsevier, vol. 154(C).
- Erin Cottle Hunt, 2023. "Welfare effects of automatic‐IRAs," Contemporary Economic Policy, Western Economic Association International, vol. 41(2), pages 300-318, April.
- Hyeon Park, 2023. "Giving and volunteering over a lifecycle," Review of Economics of the Household, Springer, vol. 21(1), pages 335-369, March.
- Eren, Okan & Genç İleri, Şerife, 2022. "Life cycle analysis of savings accounts with matching contributions," Economic Modelling, Elsevier, vol. 116(C).
- Cottle Hunt, Erin & Neumuller, Seth & Shivdasani, Yashna, 2024. "To plan, or not to plan? Optimal planning and saving for retirement," Journal of Economic Behavior & Organization, Elsevier, vol. 224(C), pages 39-65.
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More about this item
Keywords
Bounded rationality; Re-optimization; Lifecycle model; General equilibrium; Consumption hump; Social Security; Quasihyperbolic discounting;All these keywords.
JEL classification:
- E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
- D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
Statistics
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