Recursive expected utility model
WebMay 1, 2006 · In all of our problems, we use a definition of relative entropy (an expected log likelihood ratio) to constrain the gap between the approximating model and a statistical perturbation to it.We take the maximum value of that gap as a parameter that measures the set of perturbations against which the decision maker seeks robustness. Webtize recursive maxmin expected-utility (MEU) preferences (Gilboa and Schmeidler,1989); they show that dynamic consistency ensures that the DM’s set of initial beliefs will be …
Recursive expected utility model
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Webof the Epstein-Zin-Weil (EZW) recursive utility model. The EZW recursive utility function is a constant elasticity of substitution (CES) aggre- gator over current consumption and the … WebDec 1, 2001 · Introduction. This paper illustrates a new use of the recursive expected utility model applied to game theory. 1 The application allows us to demonstrate some comparative static properties of the model. We derive analogs of the Arrow–Pratt coefficients of absolute and relative risk aversion and show, in the context of an example, …
WebKREPS AND PORTEUS' (1978) recursive expected utility model allows an agent to care intrinsically about the timing of the resolution of uncertainty. For example, an anxious … WebWe axiomatize a subjective version of the recursive expected utility model. This development extends the seminal results of Kreps and Porteus (Econometrica 46:185-200 …
WebDec 19, 2016 · A recursive utility function can be constructed from two components: (a) a time aggregator that completely characterizes preferences in the absence of uncertainty … Webrecursive utility model. The EZW recursive utility function is a constant elasticity of substitution (CES) ag-gregator over current consumption and the expected discounted …
WebSep 9, 2024 · In this paper, we consider the problem of the existence and the uniqueness of a recursive utility function defined on intertemporal lotteries. The purpose of this paper is to provide the results of the existence and the uniqueness of a recursive utility function. The utility function is obtained as the limit of iterations on a nonlinear operator and is …
Webily be handled by the recursive non-expected utility model of Segal (1987, 1990). According to this model, the decision maker contemplates possible probabilistic realizations of the … short sleeve sports shirtsWebmodels themselves rely on recursive methods, numerical versions of recursive utility models can be solved and simulated using standard algorithms. 2 The Stationary Recursive Utility Function Assume time is discrete, with dates t = 0;1;2;:::. At each t > 0, an event zt is drawn from a flnite set Z, following an initial event z0. sanyo engineering \u0026 construction incWebIn the ARUM model, u jt= v jt+ "jt 3. uncertainty can be introduced by assuming that at tthe agent has private ... can maximize expected utility. 3.1 Maximizing utility and expected utility Maximizing utility Assume that "1;:::;" ... t-s or by a recursive method called dynamic programming. 4. 3.1.1 Dynamic programming: known utilities. ... short sleeve sport shirtsWebSummary. We axiomatize a subjective version of the recursive expected utility model. This development extends the seminal results of Kreps and Porteus [12] to a subjective framework and provides foundations that are easy to relate to axioms familiar from … short sleeve square neck bodysuitWebNov 11, 2005 · Abstract. We axiomatize a subjective version of the recursive expected utility model. This development extends the seminal results of Kreps and Porteus … short sleeve sports jacketWebOur generalized recursive smooth ambiguity model nests some popular models in the literature as special cases: †The subjective version of the recursive expected utility model of Kreps and Porteus (1978) and Epstein and Zin (1989) is obtained by settingv=uin (2). sanyo excavators for saleWebsion model—VEU for short. According to this model, the individual evaluates uncertain prospects, or acts, by a process suggestive of anchoring and adjustment (Tversky and Kahneman,1974). The “anchor” is the expected utility of the prospect under consideration, computed with re- short sleeve square neck maxi dress