Revisiting the Non-Parametric Analysis of Time-Inconsistent Preferences

Abstract We revisit the recent revealed preference analysis of sophisticated quasi-hyperbolic consumers by Blow et al. [(2021), “Non-parametric Analysis of Time-Inconsistent Preferences”, The Review of Economic Studies, 88, 2687–2734] (BBC). We show that BBC’s revealed preference test is too lax. There are non-rationalizable data that would pass their test. A basic problem with their test is that it requires finding a certain endogenous elasticity, without regard to the rationalizing utility. Their approach motivates a more stringent test, also based on first-order conditions, that would connect the endogenous elasticity and utility: We show that this test is also too lax. Aside from testing, we also discuss the possibility of recovering model parameters. We show that, even when discount factors are exactly identified, the approach followed in BBC allows for incorrect parameter values to lie in their identified set.

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Publication Details

Journal
The Review of Economic Studies
Published
2025-06-11
DOI
https://doi.org/10.1093/restud/rdaf047
Primary Topic
Decision-Making and Behavioral Economics
Type
article
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article

Revisiting the Non-Parametric Analysis of Time-Inconsistent Preferences

Gerelt Tserenjigmid, Federico Echenique
The Review of Economic Studies
Decision-Making and Behavioral Economics
article

Revisiting the Non-Parametric Analysis of Time-Inconsistent Preferences

Gerelt Tserenjigmid, Federico Echenique
article en

Abstract

Abstract We revisit the recent revealed preference analysis of sophisticated quasi-hyperbolic consumers by Blow et al. [(2021), “Non-parametric Analysis of Time-Inconsistent Preferences”, The Review of Economic Studies, 88, 2687–2734] (BBC). We show that BBC’s revealed preference test is too lax. There are non-rationalizable data that would pass their test. A basic problem with their test is that it requires finding a certain endogenous elasticity, without regard to the rationalizing utility. Their approach motivates a more stringent test, also based on first-order conditions, that would connect the endogenous elasticity and utility: We show that this test is also too lax. Aside from testing, we also discuss the possibility of recovering model parameters. We show that, even when discount factors are exactly identified, the approach followed in BBC allows for incorrect parameter values to lie in their identified set.

The Review of Economic StudiesVol. 93(2)
University of California, Santa Cruz (US), University of California, Berkeley (US)
Openalex Percentile: Top 81%
Decision-Making and Behavioral Economics
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