CONVERGENCE OF LEAST-SQUARES LEARNING TO A NONSTATIONARY EQUILIBRIUM

被引:8
作者
EVANS, GW
HONKAPOHJA, S
机构
[1] UNIV HELINSKI,DEPT ECON,BOX 54,SF-00014 HELSINKI,FINLAND
[2] UNIV EDINBURGH,DEPT ECON,EDINBURGH EH8 9JY,SCOTLAND
[3] ACAD FINLAND,HELSINKI,FINLAND
关键词
D O I
10.1016/0165-1765(94)90007-8
中图分类号
F [经济];
学科分类号
02 ;
摘要
Linear rational expectations models can have explosive equilibria. For a linear model with multiple AR(1) solutions we show that least squares learning can converge to an explosive AR(1) equilibrium if a stability condition is met.
引用
收藏
页码:131 / 136
页数:6
相关论文
共 8 条
[1]   RATIONAL-EXPECTATIONS EQUILIBRIA, LEARNING, AND MODEL-SPECIFICATION [J].
BRAY, MM ;
SAVIN, NE .
ECONOMETRICA, 1986, 54 (05) :1129-1160
[2]  
EVANS GW, IN PRESS INT EC REV
[3]  
EVANS GW, 1993, UNPUB EC DYNAMICS LE
[4]  
EVANS GW, 1993, IN PRESS ECONOMETRIC
[5]  
EVANS GW, 1991, STICERD TE90212 LSE
[6]   ANALYSIS OF RECURSIVE STOCHASTIC ALGORITHMS [J].
LJUNG, L .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1977, 22 (04) :551-575
[7]   CONVERGENCE OF LEAST-SQUARES LEARNING-MECHANISMS IN SELF-REFERENTIAL LINEAR STOCHASTIC-MODELS [J].
MARCET, A ;
SARGENT, TJ .
JOURNAL OF ECONOMIC THEORY, 1989, 48 (02) :337-368
[8]  
Marcet A., 1989, EC COMPLEXITY CHAOS, P119