Impulse response analysis for structural dynamic models with nonlinear regressors

被引:2
|
作者
Goncalves, Silvia [1 ]
Herrera, Ana Maria [2 ]
Kilian, Lutz [3 ]
Pesavento, Elena [4 ]
机构
[1] McGill Univ, Dept Econ, 855 Sherbrooke St W, Montreal, PQ H3A 2T7, Canada
[2] Univ Kentucky, Dept Econ, 550 South Limestone, Lexington, KY 40506 USA
[3] Fed Reserve Bank Dallas, Res Dept, 2200 N Pearl St, Dallas, TX 75201 USA
[4] Emory Univ, Econ Dept, 1602 Fishburne Dr, Atlanta, GA 30322 USA
关键词
Structural model; Censored regressor; Nonlinear transformation; Nonlinear responses; Partial identification; Control function; Block recursive model; Monte Carlo integration; Local projection; OIL PRICE SHOCKS; ECONOMIC-ACTIVITY; MONETARY-POLICY; INTEREST-RATES; ENERGY PRICES; TAX; INCREASES;
D O I
10.1016/j.jeconom.2021.06.009
中图分类号
F [经济];
学科分类号
02 ;
摘要
We study the construction of nonlinear impulse responses in linear structural dynamic models that include nonlinearly transformed regressors. We derive the closed-form solution for the population impulse responses to a given shock and propose a control function approach to estimating these responses without taking a stand on how the remainder of the model is identified. Our plug-in estimator dispenses with the need for simulations and, unlike conventional local projection (LP) estimators, is consistent. A modified LP estimator is shown to be consistent in special cases, but less accurate in finite samples than the plug-in estimator. (C) 2021 Elsevier B.V. All rights reserved.
引用
收藏
页码:107 / 130
页数:24
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