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                                                                                    Working Paper
                                                                                
                                            Computation of Policy Counterfactuals in Sequence Space
                                        
                                        
                                        
                                        
                                                                                    
                                                                                                    We propose an efficient procedure to solve for policy counterfactuals in linear models with occasionally binding constraints in sequence space. Forecasts of the variables relevant for the policy problem, and their impulse responses to anticipated policy shocks, constitute sufficient information to construct valid counterfactuals. Knowledge of the structural model equations or filtering of structural shocks is not required. We solve for deterministic and stochastic paths under instrument rules as well as under optimal policy with commitment or subgame-perfect discretion. As an application, we ...
                                                                                                
                                            
                                                                                
                                    
                                                                                    Working Paper
                                                                                
                                            Impulse-Based Computation of Policy Counterfactuals
                                        
                                        
                                        
                                        
                                                                                    
                                                                                                    We propose an efficient procedure to solve for policy counterfactuals in linear models with occasionally binding constraints. The procedure does not require knowledge of the structural or reduced-form equations of the model, its state variables, or its shock processes. Forecasts of the variables entering the policy problem, and impulse response functions of these variables to anticipated policy shocks under an arbitrary policy, constitute sufficient information to construct valid counterfactuals. We show how to compute solutions for instrument rules and optimal discretionary and commitment ...
                                                                                                
                                            
                                                                                
                                    
                                                                                    Working Paper
                                                                                
                                            Estimating Macroeconomic Models of Financial Crises: An Endogenous Regime-Switching Approach
                                        
                                        
                                        
                                        
                                                                                    
                                                                                                    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 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 ...