The Anderson-Moore algorithm is a powerful method for solving linear saddle-point models. The algorithm has proved useful in a wide variety of applications, including analyzing linear perfect-foresight models and providing initial solutions and asymptotic constraints for nonlinear models. The...

This paper describes an extension of the stack algorithm of Julliard, which makes it possible to (a) use any linear terminal condition, and (b) compute fixed points with the algorithm. Numerical results are presented for solving three different macroeconomic models including the Canada Model....

Recently, increasing attention is being devoted to interest rate rules that respond directly to economic forecasts rather than relying on current and past observations. Empirical studies suggest this 'forward-looking' rule provides a reasonable description of recent monetary policy in several...

We formulate an optimizing-agent model in which both labor and product markets exhibit monopolistic competition and staggered nominal contracts. We demonstrate that the household's unconditional expected utility can be expressed in terms of the unconditional variances of the outgap gap,...

Most general equilibrium models calculate welfare gains from international risk sharing based on a loglinear approximation. They have reported welfare gains ranging from zero to one percent of permanent consumption. Some simulation results -- Tesar (1995), van Wincoop (1997), and Kim (1997) --...