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Journal of Economic Surveys
Article . 2022 . Peer-reviewed
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SSRN Electronic Journal
Article . 2021 . Peer-reviewed
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Research . 2021
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Collective Choice with Heterogeneous Time Preferences

Authors: Mikhail Pakhnin;

Collective Choice with Heterogeneous Time Preferences

Abstract

AbstractThis paper reviews recent research on the aggregation of heterogeneous time preferences. Main results are illustrated in a simple Ramsey model with many agents with additively time‐separable utility functions who differ in their discount factors. We employ an intertemporal view on this model and argue that preferences of a decision maker should be represented by a sequence of utility functions. This allows us to clarify the issue of dynamic inconsistency and relate it to simple properties of discounting. We distinguish between private and common consumption cases. In the private consumption case, we discuss the properties of sequences of additively time‐separable social welfare functions (SWFs) and explain why the notion of Pareto optimality under heterogeneous time preferences becomes problematic. In the common consumption case, we focus on the problem of collective choice under heterogeneous time preferences, discuss the difficulties with dynamic voting procedures, and review some ways to overcome them. We conclude by highlighting the implications of our discussion for the problem of choosing an appropriate social discount rate (SDR).

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Keywords

D71, ddc:330, social discount rate, voting, O40, time consistency, H43, D15, social welfare function, heterogeneous agents, collective decisions

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    popularity
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    influence
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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!
4
Top 10%
Average
Average
bronze