In this paper we derive sorne asymptotic properties on the accuracy of numerical solutions. We sIlow tIlat the approximation error of the policy function is of the same order of magnitude as the size of the Euler equation residuals. Moreover, for bounding this approximation error tIle most relevant parameters are the discount factor and the curvature of the return function. These findings provide theoretical foundations for the construction of tests that can assess the performance of alternative computational methods
We show that the Value Function Iteration (VFI) algorithm has difficulties approximating models with...
The stability of a numerical methods is important consideration that must be considered when solving...
Abstract In the previous chapter we derived a simple finite difference method, namely the explicit E...
In this paper we derive sorne asymptotic properties on the accuracy of numerical solutions. We sIlow...
In this paper we derive sorne asymptotic properties on the accuracy of numerical solutions. We sIlow...
We propose a novel methodology for evaluating the accuracy of numeri-cal solutions to dynamic econom...
We propose a novel methodology for evaluating the accuracy of numerical solutions to dynamic economi...
This paper suggests a method for determining rigorous upper bounds on approximation errors of numeri...
Consumption Euler equations are important tools in empirical macroeconomics. When estimated on micro...
This paper considers the properties of estimators based on numerical solutions to a class of economi...
Many algorithms that provide approximate solutions for dynamic stochastic general equilibrium (DSGE)...
Published online on 25 June 2018Consumption Euler equations are important tools in empirical macroe...
The error associated with a numerical solution is intimately related with the residual, that is the ...
This paper is an exploration of numerical methods for solving initial-value problems for ordinary di...
This thesis is concerned with stochastic optimization methods. The pioneering work in the field is t...
We show that the Value Function Iteration (VFI) algorithm has difficulties approximating models with...
The stability of a numerical methods is important consideration that must be considered when solving...
Abstract In the previous chapter we derived a simple finite difference method, namely the explicit E...
In this paper we derive sorne asymptotic properties on the accuracy of numerical solutions. We sIlow...
In this paper we derive sorne asymptotic properties on the accuracy of numerical solutions. We sIlow...
We propose a novel methodology for evaluating the accuracy of numeri-cal solutions to dynamic econom...
We propose a novel methodology for evaluating the accuracy of numerical solutions to dynamic economi...
This paper suggests a method for determining rigorous upper bounds on approximation errors of numeri...
Consumption Euler equations are important tools in empirical macroeconomics. When estimated on micro...
This paper considers the properties of estimators based on numerical solutions to a class of economi...
Many algorithms that provide approximate solutions for dynamic stochastic general equilibrium (DSGE)...
Published online on 25 June 2018Consumption Euler equations are important tools in empirical macroe...
The error associated with a numerical solution is intimately related with the residual, that is the ...
This paper is an exploration of numerical methods for solving initial-value problems for ordinary di...
This thesis is concerned with stochastic optimization methods. The pioneering work in the field is t...
We show that the Value Function Iteration (VFI) algorithm has difficulties approximating models with...
The stability of a numerical methods is important consideration that must be considered when solving...
Abstract In the previous chapter we derived a simple finite difference method, namely the explicit E...