Estimation and inference of dynamic structural factor models with over-identifying restrictions

被引:4
作者
Han, Xu [1 ]
机构
[1] City Univ Hong Kong, Dept Econ & Finance, Hong Kong, Hong Kong, Peoples R China
关键词
High-dimensional factor models; Identification and estimation; Structural impulse responses; MONETARY-POLICY; PRINCIPAL COMPONENTS; SHOCKS; NUMBER; TESTS; IDENTIFICATION;
D O I
10.1016/j.jeconom.2017.09.001
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper develops a new estimator for the impulse.response functions in structural factor models with a fixed number of over-identifying restrictions. The proposed identification scheme nests the conventional just-identified recursive scheme as a special case. We establish the asymptotic distributions of the new estimator and develop test statistics for the over-identifying restrictions. Simulation results show that adding a few more over-identifying restrictions can lead to a substantial improvement in estimation accuracy for impulse response functions at both zero and nonzero horizons. We estimate the effects of a monetary policy shock using a U.S. data set. The results show that our over-identified scheme can help to detect incorrect specifications that lead to spurious impulse responses. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码:125 / 147
页数:23
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