This paper proposes a piecewise-linear Kalman filter (PKF) to estimate DSGE models with occasionally binding constraints. This method expands the set of models suitable for nonlinear estimation. It straightforwardly handles missing data, non-singularity (more shocks than observed time series),...

The macroeconomic experience of the last decade stressed the importance of jointly studying the growth and business cycle fluctuations behavior of the economy. To analyze this issue, we embed a model of Schumpeterian growth into an estimated medium-scale DSGE model. Results from a Bayesian...