Nonparametric analysis of time-inconsistent preferences

This paper provides a revealed preference characterisation of quasi-hyperbolic discounting which is designed to be applied to readily-available expenditure surveys. We describe necessary and sufficient conditions for the leading forms of the model and also explore the consequences the restrictions o...

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Main Authors: Browning, M, Crawford, I, Blow, L
Format: Working paper
Published: University of Oxford 2017
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author Browning, M
Crawford, I
Blow, L
author_facet Browning, M
Crawford, I
Blow, L
author_sort Browning, M
collection OXFORD
description This paper provides a revealed preference characterisation of quasi-hyperbolic discounting which is designed to be applied to readily-available expenditure surveys. We describe necessary and sufficient conditions for the leading forms of the model and also explore the consequences the restrictions on preferences popularly used in empirical lifecycle consumption models. Using data from a household consumption panel dataset we explore the prevalence of time-inconsistent behaviour. The sophisticated quasi-hyperbolic model provides a significantly more successful account of behaviour than the alternatives considered. We estimate the joint distribution of time preferences and the distribution of discount functions at various time horizons.
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spelling oxford-uuid:4fd9565e-be29-4f4d-bc04-d9c6cc3af08e2022-03-26T16:10:05ZNonparametric analysis of time-inconsistent preferencesWorking paperhttp://purl.org/coar/resource_type/c_8042uuid:4fd9565e-be29-4f4d-bc04-d9c6cc3af08eBulk import via SwordSymplectic ElementsUniversity of Oxford2017Browning, MCrawford, IBlow, LThis paper provides a revealed preference characterisation of quasi-hyperbolic discounting which is designed to be applied to readily-available expenditure surveys. We describe necessary and sufficient conditions for the leading forms of the model and also explore the consequences the restrictions on preferences popularly used in empirical lifecycle consumption models. Using data from a household consumption panel dataset we explore the prevalence of time-inconsistent behaviour. The sophisticated quasi-hyperbolic model provides a significantly more successful account of behaviour than the alternatives considered. We estimate the joint distribution of time preferences and the distribution of discount functions at various time horizons.
spellingShingle Browning, M
Crawford, I
Blow, L
Nonparametric analysis of time-inconsistent preferences
title Nonparametric analysis of time-inconsistent preferences
title_full Nonparametric analysis of time-inconsistent preferences
title_fullStr Nonparametric analysis of time-inconsistent preferences
title_full_unstemmed Nonparametric analysis of time-inconsistent preferences
title_short Nonparametric analysis of time-inconsistent preferences
title_sort nonparametric analysis of time inconsistent preferences
work_keys_str_mv AT browningm nonparametricanalysisoftimeinconsistentpreferences
AT crawfordi nonparametricanalysisoftimeinconsistentpreferences
AT blowl nonparametricanalysisoftimeinconsistentpreferences