Klein (2000) advocates the use of the Schur decomposition of a matrix pencil to solve linear rational expectations (RE) models. Meanwhile his algorithm has become a center piece in several computer codes that provide approximate solutions to (non-linear) dynamic stochastic general equilibrium...

The aim of the following paper is to present a derivative based algorithm, which is able to solve calibration problems for complicated DSGE models. Our algorithm is based on considerations that were mainly done during the 80s, when the computable applied general equilibrium (CAGE) literature...

This paper introduces a new solution method for Dynamic Stochastic General Equilibrium (DSGE) models that produces non explosive paths. The proposed solution method is as fast as standard perturbation methods and can be easily implemented in existing software packages like Dynare as it is...

In this paper, we introduce our GDSGE framework and MATLAB toolbox for solving dynamic stochastic general equilibrium models with a novel global solution method. The framework encompasses many well-known incomplete markets models with highly nonlinear dynamics such as models on financial crises,...

We propose a method for solving and estimating linear rational expectations models that exhibit indeterminacy and we provide step-by-step guidelines for implementing this method in the Matlab-based packages Dynare and Gensys. Our method redefines a subset of expectational errors as new...

We introduce the information microstructure of a canonical noisy rational expectations model (Hellwig, 1980) into the framework of a conventional real business cycle model. Each household receives a private signal about future productivity. In equilibrium, the stock price serves to aggregate and...

It has been shown that extending the Calvo model to account for the heterogeneity in price stickiness suggested by the micro-evidence significantly improves the performance of the model. In the new model, price-changing firms are chosen disproportionately from sectors with more flexible prices....

The global financial crisis of 2007-2008 had a negative impact on many countries, including Vietnam. Many policies have been applied to stabilize the macro-economic indicators. However, most of them are based on old qualitative models, which do not help policy makers understand deeply how each...

This paper describes NEMO, the main dynamic stochastic general equilibrium model used at Norges Bank for monetary policy analysis and forecasting. NEMO has been used to identify the sources of business cycle fluctuations in Norway, to conduct scenario analysis, to produce macroeconomic...

This chapter aims to provide a hands-on approach to New Keynesian models and their uses for macroeconomic policy analysis. It starts by reviewing the origins of the New Keynesian approach, the key model ingredients and representative models. Building blocks of current-generation dynamic...