Recently, there has been many applications of perturbation methods for solving stochastic dynamic general equilibrium models. However, in standard applications of the perturbation method, the Taylor expansion is always computed around the deterministic steady state. Because of nonlinearities,...

As it is now well known, in the framework of DSGE models taking into accounts agents expectations, the fully unconstrained optimal policy (the Ramsey policy) has the main drawback of being time inconsistent: the authority has an incentive to recompute the optimal policy in each period in order...

With the development of DSGE modelling, welfare is often used as a criteria for comparison of alternative policies. As one must rely on numerical approximation to solve DSGE models, one should wonder abnout the accuracy of welfare measures used in the comparison. Kim and Kim had already shown a...

In most existing DSGE models, parameters are supposed constant and exogenous shocks have zero mean. This makes difficult to treat structural change and anticipated effects of future reforms. Introducing dummy variables in the DSGE model can only handle unexpected changes. This papers deals with...

For good reasons, it is standard practice to remove trends before linearizing a growth model. This paper explores an alternative strategy that consists in computing local approximations around successive points in the state space. Obviously this is terribly inefficiant it trend removal is...

This paper presents stochastic simulations of a non-linear Phillips curve model with a random shock on the labor market, a random shock on inflation, and 20 state variables to represent a rather complex dynamical adjustment. Various methods are used to perform the simulations: two approaches to...