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

Author(s): Gianluca Benigno, Andrew Foerster, Christopher Otrok and Alessandro Rebucci

Publication Date: March 2020

Keyword(s): Bayesian estimation, business cycles, Endogenous Regime-Switching, financial crises, Mexico and occasionally binding constraints

Programme Area(s): International Macroeconomics and Finance and Monetary Economics and Fluctuations

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.

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Bibliographic Reference

Benigno, G, Foerster, A, Otrok, C and Rebucci, A. 2020. 'Estimating Macroeconomic Models of Financial Crises: An Endogenous Regime-Switching Approach'. London, Centre for Economic Policy Research. https://cepr.org/active/publications/discussion_papers/dp.php?dpno=14545