Optimality in an OLG model with nonsmooth preferences

被引:0
|
作者
Ohtaki, Eisei [1 ]
机构
[1] Kanagawa Univ, Dept Econ, Yokohama, Kanagawa, Japan
关键词
conditional golden rule optimality; conditional Pareto optimality; dominant root criterion; nonsmooth preference; stochastic overlapping generations model; MAXMIN EXPECTED UTILITY; OVERLAPPING GENERATIONS MODELS; AMBIGUITY AVERSION; PARETO OPTIMALITY; KNIGHTIAN UNCERTAINTY; EFFICIENT ALLOCATIONS; MONETARY EQUILIBRIA; SOCIAL-SECURITY; ASSET PRICES; RISK;
D O I
10.1111/ijet.12371
中图分类号
F [经济];
学科分类号
02 ;
摘要
It is a well-known observation that, in the overlapping generations (OLG) model with the complete market, we can judge optimality of an equilibrium allocation by examining the associated equilibrium price. Motivated by recent development in decision theory under ambiguity, this study reexamines the above observation in a stochastic OLG model with convex but not necessarily smooth preferences. It is shown that optimality of an equilibrium allocation depends on the set of possible supporting prices, not necessarily on the associated equilibrium price itself. Therefore, observations of an equilibrium price do not necessarily tell us precise information on optimality of the equilibrium allocation.
引用
收藏
页码:611 / 659
页数:49
相关论文
共 50 条
  • [41] Stochastic model predicts evolving preferences in the Iowa gambling task
    Fuentes, Miguel A.
    Lavin, Claudio
    Sebastian Contreras-Huerta, L.
    Miguel, Hernan
    Jubal, Eduardo Rosales
    FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2014, 8
  • [42] Public Expenditure on Health and Private Old-Age Insurance in an OLG Growth Model with Endogenous Fertility: Chaotic Dynamics Under Perfect Foresight
    Fanti, Luciano
    Gori, Luca
    COMPUTATIONAL ECONOMICS, 2012, 40 (04) : 333 - 353
  • [43] Evaluating the impact of social security contribution rate, delayed retirement age, and employment rate on pension replacement rate: An overlapping generation (OLG) model analysis
    Tian, Ying
    Ma, Haitao
    Tunio, Fayaz Hussain
    RESEARCH IN ECONOMICS, 2024, 78 (02)
  • [44] Individual preferences, organization, and competition in a model of R&D incentive provision
    Lacetera, Nicola
    Zirulia, Lorenzo
    JOURNAL OF ECONOMIC BEHAVIOR & ORGANIZATION, 2012, 84 (02) : 550 - 570
  • [45] Decision Making Under Model Uncertainty: Frechet-Wasserstein Mean Preferences
    Petracou, Electra V.
    Xepapadeas, Anastasios
    Yannacopoulos, Athanasios N.
    MANAGEMENT SCIENCE, 2022, 68 (02) : 1195 - 1211
  • [46] Beliefs and preferences for food-safety policies: a discrete choice model under uncertainty
    Cerroni, Simone
    Notaro, Sandra
    Raffaelli, Roberta
    EUROPEAN REVIEW OF AGRICULTURAL ECONOMICS, 2019, 46 (05) : 769 - 799
  • [47] An Empirical Analysis on Adjustment of Contribution and Perfection of Individual Account of China's Enterprise Employee Public Pension-A OLG Model Combined With Public Capital Income and Payroll Tax
    Gao Yan
    Yang Zaigui
    PROCEEDINGS OF 2016 CHINA INTERNATIONAL CONFERENCE ON INSURANCE AND RISK MANAGEMENT, 2016, : 658 - 680
  • [48] Diagnostic Model that Takes Medical Preferences into Account. Prediction of the Clinical Status of Prostate Cancer
    E. F. Yurkov
    S. A. Pirogov
    V. G. Gitis
    N. S. Sergeeva
    T. E. Skachkova
    B. Ya. Alekseev
    A. D. Kaprin
    Journal of Communications Technology and Electronics, 2019, 64 : 834 - 845
  • [49] Diagnostic Model that Takes Medical Preferences into Account. Prediction of the Clinical Status of Prostate Cancer
    Yurkov, E. F.
    Pirogov, S. A.
    Gitis, V. G.
    Sergeeva, N. S.
    Skachkova, T. E.
    Alekseev, B. Ya.
    Kaprin, A. D.
    JOURNAL OF COMMUNICATIONS TECHNOLOGY AND ELECTRONICS, 2019, 64 (08) : 834 - 845
  • [50] Preferences for Predictive Model Characteristics among People Living with Chronic Lung Disease: A Discrete Choice Experiment
    Weissman, Gary E.
    Yadav, Kuldeep N.
    Srinivasan, Trishya
    Szymanski, Stephanie
    Capulong, Florylene
    Madden, Vanessa
    Courtright, Katherine R.
    Hart, Joanna L.
    Asch, David A.
    Ratcliffe, Sarah J.
    Schapira, Marilyn M.
    Halpern, Scott D.
    MEDICAL DECISION MAKING, 2020, 40 (05) : 633 - 643