Random matching;
Human capital;
Efficiency;
HUMAN-CAPITAL ACCUMULATION;
LARGE NUMBERS;
AGGREGATE UNCERTAINTY;
INCREASING RETURNS;
INDIVIDUAL RISK;
MICROFOUNDATION;
SEARCH;
LAW;
ASSIGNMENT;
EXTENSION;
D O I:
10.1016/j.jmateco.2012.08.002
中图分类号:
F [经济];
学科分类号:
02 ;
摘要:
We consider a random matching model where heterogeneous agents choose optimally to invest time and real resources in education. Generically, there is a steady state equilibrium where some agents, but not all of them, invest. Regular steady state equilibria are constrained inefficient in a strong sense. The Hosios (1990) condition is neither necessary nor sufficient for constrained efficiency. We also provide restrictions on the fundamentals sufficient to guarantee that equilibria are characterized by overeducation (or undereducation), present some results on their comparative statics properties, and discuss the nature of welfare improving policies. (C) 2012 Elsevier B.V. All rights reserved.
机构:
Department of Computational Mathematics and Cybernetics, Moscow State University, MoscowDepartment of Computational Mathematics and Cybernetics, Moscow State University, Moscow
Kiselev Y.N.
Orlov M.V.
论文数: 0引用数: 0
h-index: 0
机构:
Department of Computational Mathematics and Cybernetics, Moscow State University, MoscowDepartment of Computational Mathematics and Cybernetics, Moscow State University, Moscow
Orlov M.V.
Orlov S.M.
论文数: 0引用数: 0
h-index: 0
机构:
Department of Computational Mathematics and Cybernetics, Moscow State University, MoscowDepartment of Computational Mathematics and Cybernetics, Moscow State University, Moscow
机构:
City Univ Hong Kong, Dept Econ & Finance, Kowloon, Hong Kong, Peoples R China
Zhejiang Univ, Hangzhou 310003, Zhejiang, Peoples R ChinaLamar Univ, Dept Econ & Finance, Beaumont, TX 77710 USA