Business cycle analysis without much theory - A look at structural VARs

被引：74

作者：

Cooley, TF

Dwyer, M

机构：

[1] Univ Calif Los Angeles, Dept Econ, Los Angeles, CA 90095 USA

[2] Univ Penn, Dept Econ, Philadelphia, PA 19104 USA

[3] Univ Rochester, Dept Econ, Rochester, NY 14627 USA

来源：

JOURNAL OF ECONOMETRICS | 1998年 / 83卷 / 1-2期

基金：

美国国家科学基金会;

关键词：

structural VARs; identification; business cycles;

D O I：

10.1016/S0304-4076(97)00065-1

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

This paper examines the usefulness of applying structural vector autoregressions (SVARs) to the study of business cycles. The SVAR approach aims to provide robust inferences, by imposing only weak theoretical restrictions. We illustrate that the robustness of conclusions drawn from SVAR exercises are questionable. We also examine the problem of identification failure in structural VAR models. (C) 1998 Elsevier Science S.A.

引用

页码：57 / 88

页数：32

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