This paper applies nonlinear projection methods to solve Ramsey problems in a stochastic monetary economy. The presence of nonlinear distortions in the Ramsey problem requires the use of a solution procedure which captures these effects. The nonlinear projection method, even with low-order...

This paper presents a general approximation method for characterizing time-varying equilibrium portfolios in a two-country dynamic general equilibrium model. The method can be easily adapted to most dynamic general equilibrium models, it applies to environments in which markets are complete or...

Open economy macroeconomics typically abstracts from portfolio structure. But the recent experience of financial globalization makes it important to understand the determinants and composition of gross country portfolios. This paper presents a simple approximation method for computing...

This paper applies nonlinear projection methods to solve Ramsey problems in a stochastic monetary economy. The presence of nonlinear distortions in the Ramsey problem requires the use of a solution procedure which captures these effects. The nonlinear projection method, even with low-order...

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...

This paper presents some new results on the solution of the stochastic neoclassical growth model with leisure. We use the method of Judd (2003) to explore how to change variables in the computed policy functions that characterize the behavior of the economy. We find a simple close-form relation...

This paper compares the performance of a log-linear method and a parameterized expectations method in solving a dynamic general equilibrium endogenous growth model with human capital. Quantitative evaluation based on second moment statistics shows that the results provided by the two numerical...