Model uncertainty and policy evaluation: Some theory and empirics

被引:81
作者
Brock, William A. [1 ]
Durlauf, Steven N. [1 ]
West, Kenneth D. [1 ]
机构
[1] Univ Wisconsin, Dept Econ, Madison, WI 53706 USA
基金
美国国家科学基金会;
关键词
model uncertainty; policy evaluation; Taylor rule;
D O I
10.1016/j.jeconom.2005.11.009
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper explores ways to integrate model uncertainty into policy evaluation. We describe a general framework that includes both model averaging methods as well as some measures that describe whether policies and their consequences are model dependent. These general ideas are then applied to assess simple monetary policy rules for some standard New Keynesian specifications. We conclude that the original Taylor rule has good robustness properties, but may reasonably be challenged in overall quality with respect to stabilization by alternative simple rules, even when these rules employ parameters that are set without accounting for model uncertainty. (c) 2005 Elsevier B.V. All rights reserved.
引用
收藏
页码:629 / 664
页数:36
相关论文
共 50 条
[1]  
[Anonymous], STAT DECISION THEORY
[2]  
[Anonymous], 1950, STAT DECISION FUNCTI
[3]   Stock return predictability and model uncertainty [J].
Avramov, D .
JOURNAL OF FINANCIAL ECONOMICS, 2002, 64 (03) :423-458
[4]  
Bernardo J., 2009, Bayesian theory
[5]  
Brock W., 2003, Brook. Pap. Econ. Act., V1, P235
[6]   Rational route to randomness [J].
Brock, WA ;
Hommes, CH .
ECONOMETRICA, 1997, 65 (05) :1059-1095
[7]   Local robustness analysis: Theory and application [J].
Brock, WA ;
Durlauf, SN .
JOURNAL OF ECONOMIC DYNAMICS & CONTROL, 2005, 29 (11) :2067-2092
[8]   Elements of a theory of design limits to optimal policy [J].
Brock, WA ;
Durlauf, SN .
MANCHESTER SCHOOL, 2004, 72 :1-18
[9]   Growth empirics and reality [J].
Brock, WA ;
Durlauf, SN .
WORLD BANK ECONOMIC REVIEW, 2001, 15 (02) :229-272
[10]   Multivariate Bayesian variable selection and prediction [J].
Brown, PJ ;
Vannucci, M ;
Fearn, T .
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 1998, 60 :627-641