This note describes an algorithm for the solution of rational expectations models with saddlepoint stability properties. The algorithm is based on the method of multiple shooting, which is widely used to solve mathematically similar problems in the physical sciences. Potential applications to economics include models of capital accumulation and valuation, money arid growth, exchange rate determination, and macroeconomic activity. In general, whenever an asset price incorporates information about the future path of key variables, solution algorithms of the type we consider are applicable.
Three ways to solve a model Solving a model using full information rational expectations as the equi...
This article offers a new method of solution for linear difference equations with Rational Expectati...
Linear models involving expectations of future endogenous variables gen-erally have multiple rationa...
This note describes an algorithm for the solution of rational expectations models with saddlepoint s...
Saddle-path instabilities frequently arise in dynamic macroeconomic models with forward-looking expe...
In this paper a solution technique is developed for non-linear rational expectation models. In model...
This paper describes a set of algorithms for quickly and reliably solving linear rational expectatio...
At the heart of most rational expectations models is a system of first order differential equations ...
The assumption of forward-looking agents in theoretical macroeconomic models has become increasingly...
This paper presents an approach for assessing the time taken by the well known reverse-shooting and ...
This paper deals with the solutions to macroeconomic models with rational expectations. A first purp...
This paper presents new, computationally efficient algorithms for solution and estimation of nonline...
SIGLELD:9261.96(200) / BLDSC - British Library Document Supply CentreGBUnited Kingdo
We examine the effect of introducing stochastic shocks into a linear rational expectations model wit...
A new algorithm called the parameterized expectations approach (PEA) for solving dynamic stochastic ...
Three ways to solve a model Solving a model using full information rational expectations as the equi...
This article offers a new method of solution for linear difference equations with Rational Expectati...
Linear models involving expectations of future endogenous variables gen-erally have multiple rationa...
This note describes an algorithm for the solution of rational expectations models with saddlepoint s...
Saddle-path instabilities frequently arise in dynamic macroeconomic models with forward-looking expe...
In this paper a solution technique is developed for non-linear rational expectation models. In model...
This paper describes a set of algorithms for quickly and reliably solving linear rational expectatio...
At the heart of most rational expectations models is a system of first order differential equations ...
The assumption of forward-looking agents in theoretical macroeconomic models has become increasingly...
This paper presents an approach for assessing the time taken by the well known reverse-shooting and ...
This paper deals with the solutions to macroeconomic models with rational expectations. A first purp...
This paper presents new, computationally efficient algorithms for solution and estimation of nonline...
SIGLELD:9261.96(200) / BLDSC - British Library Document Supply CentreGBUnited Kingdo
We examine the effect of introducing stochastic shocks into a linear rational expectations model wit...
A new algorithm called the parameterized expectations approach (PEA) for solving dynamic stochastic ...
Three ways to solve a model Solving a model using full information rational expectations as the equi...
This article offers a new method of solution for linear difference equations with Rational Expectati...
Linear models involving expectations of future endogenous variables gen-erally have multiple rationa...
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