Summary We compare projection methods with the standard value function grid algorithm in order to solve overlapping generations models. We apply the methods to a particular 60-period OLG model with elastic labor supply in order to study the effects of unfunded public pensions on aggregate...

After reviewing the reasons to use solution methods in macroeconomics, this survey paper discusses different aspects relative to a rigorous use of the numerical output of such methods. Special attention is paid to suggestions that have been made to incorporate parameter uncertainty. Finally, the...

In this paper we analyze the convergence properties of the moving bounds algorithm to initialize the Parameterized Expectations Algorithm suggested by Maliar and Maliar (2003) [Journal of Business and Economic Statistics 1, pp. 88-92]. We carry out a Monte Carlo experiment to check its...

Chapter 1. Introduction -- Chapter 2. Finite Difference Equations and Systems of Difference Equations in Rational Expectations -- Chapter 3. Models of Representative Agents and Real Business Cycle Models -- Chapter 4. A Simplified Illustration of Numerical Solution Methods of DSGE Models With...

We compare projection methods with the standard value function grid algorithm in order to solve overlapping generations models. We apply the methods to a particular 60-period OLG model with elastic labor supply in order to study the effects of unfunded public pensions on aggregate savings and...

After reviewing the reasons to use solution methods in macroeconomics,this survey paper discusses diferent aspects relative to a rigorous use of the numerical output of such methods. Special attention is paid to suggestions that have been made to incorporate parameter uncertainty. Finally, the...

In nonlinear econometric models, the evaluation of forecast errors is usually performed, completely or partially, by resorting to stochastic simulation. However, for evaluating the specific contribution of errors in estimated structural coefficients, several alternative methods have been...

When dealing with nonlinear econometric models, resort is often made to simulation techniques for the investigation of their dynamic properties. A spectral analysis using stochastic and analytic simulation is carried out on a nonlinear model of the Italian economy. The two approaces are...