An experimental study of decisions in dynamic optimization problems

被引:0
|
作者
Charles Noussair
Kenneth Matheny
机构
[1] Department of Economics,
[2] Krannert School of Management,undefined
[3] Purdue University,undefined
[4] West Lafayette,undefined
[5] IN 47907,undefined
[6] USA (e-mail: noussair@mgmt.purdue.edu) ,undefined
[7] Macroeconomic Advisers LLC.,undefined
[8] St Louis,undefined
[9] MO 63105,undefined
[10] USA (e-mail: matheny@macroadvisers.com) ,undefined
来源
Economic Theory | 2000年 / 15卷
关键词
Keywords and Phrases:Dynamic optimization, Consumption, Investment, Experiment.; JEL Classification Number:C91.;
D O I
暂无
中图分类号
学科分类号
摘要
We study decisions of subjects who are given an incentive to solve dynamic optimization problems with the structure of a single-agent, one-sector, closed economy macroeconomic model. The decision task involves a sequence of choices of consumption and investment levels. Treatment variables consist of the initial endowment of capital stock, the production technology available to the economy, and the method of creating the structure of an infinite-horizon model. The study includes and contrasts data from both American and Japanese participants. We find that whether over- or underinvestment relative to the optimum occurs depends on the production technology, but not on the initial endowment of capital stock, nor the subject pool used, nor the method of implementing the infinite horizon. Sudden episodes of maximal consumption called binges, which are always suboptimal, are widely observed.
引用
收藏
页码:389 / 419
页数:30
相关论文
共 50 条
  • [1] An experimental study of decisions in dynamic optimization problems
    Noussair, C
    Matheny, K
    ECONOMIC THEORY, 2000, 15 (02) : 389 - 419
  • [2] Experimental study on population-based incremental learning algorithms for dynamic optimization problems
    Shengxiang Yang
    Xin Yao
    Soft Computing, 2005, 9 : 815 - 834
  • [3] Experimental study on population-based incremental learning algorithms for dynamic optimization problems
    Yang, SX
    Yao, X
    SOFT COMPUTING, 2005, 9 (11) : 815 - 834
  • [4] NEURAL COMPUTATION OF DECISIONS IN OPTIMIZATION PROBLEMS
    HOPFIELD, JJ
    TANK, DW
    BIOLOGICAL CYBERNETICS, 1985, 52 (03) : 141 - 152
  • [5] Investment decisions and coordination problems in a market with network externalities: An experimental study
    Mak, Vincent
    Zwick, Rami
    JOURNAL OF ECONOMIC BEHAVIOR & ORGANIZATION, 2010, 76 (03) : 759 - 773
  • [6] DYNAMIC OPTIMIZATION PROBLEMS
    GHOSAL, A
    HEATHCOTE, E
    CYBERNETICA, 1972, 15 (04): : 290 - 305
  • [7] Cooperative coevolutionary algorithms for dynamic optimization: an experimental study
    Au, Chun-Kit
    Leung, Ho-Fung
    EVOLUTIONARY INTELLIGENCE, 2014, 7 (04) : 201 - 218
  • [8] Preparations for decisions: the study of problems
    Theoret, Manon
    REVUE DES SCIENCES DE L EDUCATION, 2009, 35 (03): : 253 - 254
  • [9] A Study on Diversity and Cooperation in a Multiagent Strategy for Dynamic Optimization Problems
    Pelta, David
    Cruz, Carlos
    Ramon Gonzalez, Juan
    INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2009, 24 (07) : 844 - 861
  • [10] Coordination and optimization of dynamic pricing and production decisions
    Ouazene, Yassine
    Yalaoui, Farouk
    Kelly, Russel
    Idjeraoui, Tayeb
    2017 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI), 2017, : 3119 - 3124