Elements of economics of uncertainty and time with recursive utility
Knut Aase
No 2020/13, Discussion Papers from Norwegian School of Economics, Department of Business and Management Science
Abstract:
We address how recursive utility affects important results in the theory of economics of uncertainty and time, as compared to the standard model, where the focus is on dynamic models in discrete time. Several puzzles associated with the standard theory are less puzzling with recursive utility, even if this type of preference representation seems close to the standard one at first sight. An inconsistency with the axioms behind the standard, separable and additive expected utility representation is pointed out and extended to also be relevant for recursive utility. The basic difference from the standard model is that recursive utility allows a form of separation of consumption substitution from risk aversion. This also means that the timing of resolution of uncertainty matters. In dynamic models, however, this turns out to be a rather crucial step.
Keywords: Recursive utility; axioms; scale invariance; utility gradients; the equity premium puzzle; precautionary savings (search for similar items in EconPapers)
JEL-codes: D51 D53 D90 E21 G10 G12 (search for similar items in EconPapers)
Pages: 38 pages
Date: 2020-10-30
New Economics Papers: this item is included in nep-mac and nep-upt
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://hdl.handle.net/11250/2686569 Full text (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:hhs:nhhfms:2020_013
Access Statistics for this paper
More papers in Discussion Papers from Norwegian School of Economics, Department of Business and Management Science NHH, Department of Business and Management Science, Helleveien 30, N-5045 Bergen, Norway. Contact information at EDIRC.
Bibliographic data for series maintained by Stein Fossen ().