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Decision Analysis
Article
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zbMATH Open
Article . 2021
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SSRN Electronic Journal
Article . 2019 . Peer-reviewed
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Decision Analysis
Article . 2021 . Peer-reviewed
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https://dx.doi.org/10.48550/ar...
Article . 2019
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Article . 2021
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Microfoundations of Discounting

Microfoundations of discounting
Authors: Alexander Adamou; Yonatan Berman; Diomides Mavroyiannis; Ole Peters;

Microfoundations of Discounting

Abstract

An important question in economics is how people choose between different payments in the future. The classical normative model predicts that a decision maker discounts a later payment relative to an earlier one by an exponential function of the time between them. Descriptive models use nonexponential functions to fit observed behavioral phenomena, such as preference reversal. Here we propose a model of discounting, consistent with standard axioms of choice, in which decision makers maximize the growth rate of their wealth. Four specifications of the model produce four forms of discounting—no discounting, exponential discounting, hyperbolic discounting, and a hybrid of exponential and hyperbolic discounting—two of which predict preference reversal. Our model requires no assumption of behavioral bias or payment risk.

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Keywords

General Economics (econ.GN), discounting, Decision theory, FOS: Economics and business, Economics - Theoretical Economics, Actuarial science and mathematical finance, Theoretical Economics (econ.TH), decision criteria, Economics - General Economics

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Top 10%
Average
Average
Green
bronze