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Article
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MPG.PuRe
Article . 2018
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Heterogeneity and parsimony in intertemporal choice.

Authors: Michel Regenwetter; Daniel R. Cavagnaro; Anna Popova; Ying Guo; Chris Zwilling; Shiau Hong Lim; Jeffrey R. Stevens;

Heterogeneity and parsimony in intertemporal choice.

Abstract

Behavioral theories of intertemporal choice involve many moving parts. Most descriptive theories model how time delays and rewards are perceived, compared, and/or combined into preferences or utilities. Most behavioral studies neglect to spell out how such constructs translate into heterogeneous observable choices. We consider several broad models of transitive intertemporal preference and combine these with several mathematically formal, yet very general, models of heterogeneity. We evaluate 20 probabilistic models of intertemporal choice using binary choice data from two large-scale experiments. Our analysis documents the interplay between heterogeneity and parsimony in accounting for empirical data: We find evidence for heterogeneity across individuals and across stimulus sets that can be accommodated with transitive models of varying complexity. We do not find systematic violations of transitivity in our data. Future work should continue to tackle the complex trade-off between parsimony and heterogeneity.

Country
United States
Keywords

Other Psychology, Transitivity of Preferences, Cognition and Perception, Intertemporal Choice, 330, Cognitive Psychology, Psychology, Heterogeneity, Noise, Social and Behavioral Sciences, Random Preference

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    selected citations
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    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).
    21
    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.
    Top 10%
    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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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
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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!
21
Top 10%
Average
Top 10%
hybrid