Global DSGE models

被引:2
|
作者
Cao, Dan [1 ]
Luo, Wenlan [2 ]
Nie, Guangyu [3 ]
机构
[1] Georgetown Univ, Dept Econ, 3700 & O St NW, Washington, DC 20057 USA
[2] Tsinghua Univ, Sch Econ & Management, Beijing 100084, Peoples R China
[3] Shanghai Univ Finance & Econ, Coll Business, 777 Guoding Rd, Shanghai 200433, Peoples R China
基金
中国国家自然科学基金;
关键词
Nonlinear DSGE models; Incomplete markets; Financial crises; Rare disasters; Portfolio choices; Occasionally binding constraints; MACROECONOMIC MODEL; INCOMPLETE MARKETS; DYNAMIC-MODELS; GROWTH-MODEL; RISK; CONSTRAINTS; EQUILIBRIA; PROJECTION; INCOME; SHOCKS;
D O I
10.1016/j.red.2023.01.001
中图分类号
F [经济];
学科分类号
02 ;
摘要
We introduce our GDSGE framework and a novel global solution method, called simulta-neous transition and policy function iterations (STPFIs), for solving dynamic stochastic general equilibrium models. The framework encompasses many well-known incomplete markets models with highly nonlinear dynamics such as models of financial crises and models with rare disasters including the current COVID-19 pandemic. Using consistency equations, our method is most effective at solving models featuring endogenous state variables with implicit laws of motion such as wealth or consumption shares. Finally, we incorporate this method in an automated and publicly available toolbox that solves many important models in the aforementioned topics, and in many cases, more efficiently and/or accurately than their original algorithms.(c) 2023 Elsevier Inc. All rights reserved.
引用
收藏
页码:199 / 225
页数:27
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