Add to ORKGThis paper generalizes the classical discounted utility model introduced by Samuelson by replacing a constant discount rate with a function. The existence of recursive utilities and their constructions are based on Matkowski's extension of the Banach Contraction Principle. The derived utilities go beyond the class of recursive utilities studied in the literature and enable a discussion on subtle issues concerning time preferences in the theory of finance, economics or psychology. Moreover, our main results are applied to the theory of optimal growth with unbounded utility functions
textabstractKoopmans provided a well-known preference foundation for discounted utility, the most wi...
In this paper we propose a unifying approach to the study of recursive economic problems. Postulatin...
Koopmans provided a well-known preference foundation for discounted utility, the most widely used mo...
This paper generalizes the classical discounted utility model introduced by Samuelson by replacing a...
In this paper we study a Markov decision process with a non-linear discount function. Our approach ...
In this paper, we study a Markov decision process with a non-linear discount function and with a Bor...
In this paper, we study a Markov decision process with a non-linear discount function and with a Bor...
Dynamic programming is an essential tool lying at the heart of many problems in the modern theory of...
In this paper, we apply the idea of $k$-local contraction of \cite{zec, zet} to study discounted st...
AbstractIn this paper, we study discounted Markov decision processes on an uncountable state space. ...
We consider convex dynamic programs with general (bounded) recursive utilities. The Contraction Mapp...
In this paper we propose a unifying approach to the study of recursive economic problems. Postulatin...
We study stochastic dynamic programming with recursive utility in settings where multiplicity of val...
We introduce an accurate, easily implementable, and fast algorithm to compute optimal decisions in d...
This paper derives the HJB (Hamilton-Jacobi-Bellman) equation for sophisticated agents in a finite h...
textabstractKoopmans provided a well-known preference foundation for discounted utility, the most wi...
In this paper we propose a unifying approach to the study of recursive economic problems. Postulatin...
Koopmans provided a well-known preference foundation for discounted utility, the most widely used mo...
This paper generalizes the classical discounted utility model introduced by Samuelson by replacing a...
In this paper we study a Markov decision process with a non-linear discount function. Our approach ...
In this paper, we study a Markov decision process with a non-linear discount function and with a Bor...
In this paper, we study a Markov decision process with a non-linear discount function and with a Bor...
Dynamic programming is an essential tool lying at the heart of many problems in the modern theory of...
In this paper, we apply the idea of $k$-local contraction of \cite{zec, zet} to study discounted st...
AbstractIn this paper, we study discounted Markov decision processes on an uncountable state space. ...
We consider convex dynamic programs with general (bounded) recursive utilities. The Contraction Mapp...
In this paper we propose a unifying approach to the study of recursive economic problems. Postulatin...
We study stochastic dynamic programming with recursive utility in settings where multiplicity of val...
We introduce an accurate, easily implementable, and fast algorithm to compute optimal decisions in d...
This paper derives the HJB (Hamilton-Jacobi-Bellman) equation for sophisticated agents in a finite h...
textabstractKoopmans provided a well-known preference foundation for discounted utility, the most wi...
In this paper we propose a unifying approach to the study of recursive economic problems. Postulatin...
Koopmans provided a well-known preference foundation for discounted utility, the most widely used mo...