Estimating Macroeconomic Models of Financial Crises: An Endogenous Regime-Switching Approach

Working Paper: CEPR ID: DP14545

Authors: Gianluca Benigno; Andrew Foerster; Christopher Otrok; Alessandro Rebucci

Abstract: We estimate a workhorse DSGE model with an occasionally binding borrowing constraint. First, we propose a new specification of the occasionally binding constraint, where the transition between being the unconstrained and constrained states is a stochastic function of the leverage level and the constraint multiplier. This specification maps into an endogenous regime-switching model. Second, we develop a general perturbation method for the solution of such a model. Third, we estimate the model with Bayesian methods to fit Mexico's business cycle and financial crisis history since 1981. The estimated model fits the data well, identifying three crisis episodes of varying duration and intensity: the Debt, Tequila, and Global Financial Crises. The crisis episodes generated by the estimated model display sluggish and long-lasting build-up and stagnation phases driven by cocktails of shocks. Different sets of shocks explain different variables over the business cycle and the three historical episodes of sudden stops identified.

Keywords: financial crises; business cycles; endogenous regime-switching; bayesian estimation; occasionally binding constraints; Mexico

JEL Codes: G01; E3; F41; C11


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
Higher leverage (G19)Increased likelihood of financial crises (F65)
Financial crises (G01)Business cycles (E32)
Different shocks (E32)Economic dynamics (E32)
DSGE model with borrowing constraints (D10)Identification of crisis episodes (H12)

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