The solutions of a macroeconometricmodel with expectations of future-dated variables has to be approximated by numerical simulations. A brief review of deterministic and stochastic dynamic simulations of a backward-looking model is followed by a conceptual presentation of methods for dynamic simulations of a forward-looking (rational expectations) model. Detailed numerical methods for solving the models are beyond the scope of this note.publishedVersio
A computationally feasible method for the full information maximum likelihood estimation of models w...
We suggest a discrete-time approximation for decoupled forward–backward stochastic differential equa...
A numerical simulation is a computing calculation following a program that develops a mathematical m...
The solutions of a macroeconometricmodel with expectations of future-dated variables has to be appro...
The assumption of forward-looking agents in theoretical macroeconomic models has become increasingly...
This thesis presents a comprehensive set of techniques for solving, simulating, analysing and contro...
This paper puts forward a method of policy simulation with an existing macroeconometric model under ...
This paper provides an answer to the question of how to improve the forecasting performance of a mac...
In this paper a solution technique is developed for non-linear rational expectation models. In model...
Saddle-path instabilities frequently arise in dynamic macroeconomic models with forward-looking expe...
Numerical simulation methods can overcome the difficulties and limitations of analytical methods, wh...
A computationally feasible method for the full information maximum-likelihood estimation of models w...
In many applications, the primary objective of numerical simulation of time-evolving systems is the ...
We develop numerically stable stochastic simulation approaches for solving dynamic economic models. ...
ABSTRACT. We describe an algorithm for calculating second order approximations to the solutions to n...
A computationally feasible method for the full information maximum likelihood estimation of models w...
We suggest a discrete-time approximation for decoupled forward–backward stochastic differential equa...
A numerical simulation is a computing calculation following a program that develops a mathematical m...
The solutions of a macroeconometricmodel with expectations of future-dated variables has to be appro...
The assumption of forward-looking agents in theoretical macroeconomic models has become increasingly...
This thesis presents a comprehensive set of techniques for solving, simulating, analysing and contro...
This paper puts forward a method of policy simulation with an existing macroeconometric model under ...
This paper provides an answer to the question of how to improve the forecasting performance of a mac...
In this paper a solution technique is developed for non-linear rational expectation models. In model...
Saddle-path instabilities frequently arise in dynamic macroeconomic models with forward-looking expe...
Numerical simulation methods can overcome the difficulties and limitations of analytical methods, wh...
A computationally feasible method for the full information maximum-likelihood estimation of models w...
In many applications, the primary objective of numerical simulation of time-evolving systems is the ...
We develop numerically stable stochastic simulation approaches for solving dynamic economic models. ...
ABSTRACT. We describe an algorithm for calculating second order approximations to the solutions to n...
A computationally feasible method for the full information maximum likelihood estimation of models w...
We suggest a discrete-time approximation for decoupled forward–backward stochastic differential equa...
A numerical simulation is a computing calculation following a program that develops a mathematical m...