Assessing DSGE model nonlinearities

被引:22
作者
Aruoba, S. Boragan [1 ]
Bocola, Luigi [2 ]
Schorfheide, Frank [3 ]
机构
[1] Univ Maryland, Dept Econ, College Pk, MD 20742 USA
[2] Northwestern Univ, Dept Econ, Evanston, IL 60208 USA
[3] Univ Penn, Dept Econ, 3718 Locust Walk, Philadelphia, PA 19104 USA
基金
美国国家科学基金会;
关键词
Asymmetric adjustment costs; Bayesian analysis; Econometric model evaluation; Perturbation solution; Predictive checks; Quadratic autoregressions; TIME-SERIES; US; REAL; TRANSMISSION; UNCERTAINTY; INFLATION; CYCLES; RULES;
D O I
10.1016/j.jedc.2017.07.006
中图分类号
F [经济];
学科分类号
02 ;
摘要
We develop a new class of time series models to identify nonlinearities in the data and to evaluate DSGE models. U.S. output growth and the federal funds rate display nonlinear conditional mean dynamics, while inflation and nominal wage growth feature conditional heteroskedasticity. We estimate a DSGE model with asymmetric wage and price adjustment costs and use predictive checks to assess its ability to account for these nonlinearities. While it is able to match the nonlinear inflation and wage dynamics, thanks to the estimated downward wage and price rigidities, these do not spill over to output growth or the interest rate. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码:34 / 54
页数:21
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