On the consistency of backward-looking expectations: The case of the cobweb

被引:70
作者
Hommes, CH
机构
[1] Univ Amsterdam, Dept Econ, NL-1018 WB Amsterdam, Netherlands
[2] Univ Amsterdam, Tinbergen Inst, NL-1018 WB Amsterdam, Netherlands
关键词
consistent expectations; non-linear cobweb model; chaos; autocorrelations;
D O I
10.1016/S0167-2681(97)00062-0
中图分类号
F [经济];
学科分类号
02 ;
摘要
In dynamic models of economic fluctuations backward-looking expectations with systematic forecasting errors are inconsistent with rational behaviour. In non-linear dynamic models exhibiting seemingly unpredictable, chaotic fluctuations, however, simple habitual 'rule of thumb' backward-looking expectation rules may yield non-zero but nevertheless non-systematic forecasting errors. In a chaotic model expectational forecasting errors may have zero autocorrelations at all lags. Even for rational agents patterns in these forecasting errors may be very difficult to detect, especially in the presence of (small) noise. Backward-looking expectations are then not necessarily inconsistent with rational behaviour. We investigate whether simple expectation schemes such as naive or adaptive expectations can be consistent with rational behaviour in the simplest of all non-linear dynamic economic models, the non-linear cobweb model. (C) 1998 Elsevier Science B.V.
引用
收藏
页码:333 / 362
页数:30
相关论文
共 38 条
[1]  
[Anonymous], 1958, Q J EC OXFORD U PRES
[2]   BIFURCATIONS FROM AN INVARIANT CIRCLE FOR 2-PARAMETER FAMILIES OF MAPS OF THE PLANE - A COMPUTER-ASSISTED STUDY [J].
ARONSON, DG ;
CHORY, MA ;
HALL, GR ;
MCGEHEE, RP .
COMMUNICATIONS IN MATHEMATICAL PHYSICS, 1982, 83 (03) :303-354
[3]   IRREGULAR COBWEB DYNAMICS [J].
ARTSTEIN, Z .
ECONOMICS LETTERS, 1983, 11 (1-2) :15-17
[4]  
Begg D. K. H., 1982, RATIONAL EXPECTATION
[5]  
BOX GEP, 1994, TIME SERIES ANAL
[6]   Rational route to randomness [J].
Brock, WA ;
Hommes, CH .
ECONOMETRICA, 1997, 65 (05) :1059-1095
[7]  
BROCK WA, 1995, 9506 SSRI U WISC DEP
[8]  
Brock WA., 1991, Nonlinear dynamics, chaos, and instability: statistical theory and economic evidence
[9]   HOW CHAOTIC IS CHAOS - CHAOTIC AND OTHER NOISY DYNAMICS IN THE FREQUENCY-DOMAIN [J].
BUNOW, B ;
WEISS, GH .
MATHEMATICAL BIOSCIENCES, 1979, 47 (3-4) :221-237
[10]  
Chiarella C., 1992, Annals of Operations Research, V37, P101, DOI 10.1007/BF02071051