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Updated: Oct 15, 2025

The Modified Temptation Resistance Task: A Paradigm to Elicit Children's Strategic Lie-telling
Published on: April 6, 2018
Bad Temptation
1Kenneth C. Griffin Department of Economics, University of Chicago.
This study presents a static self-control model where an agent's choices are driven by preferences, temptation ranking, and self-control costs. It simplifies analysis by showing temptation ranking can oppose preference, aiding parameter identification through revealed preference violations.
Area of Science:
- Behavioral Economics
- Decision Theory
- Microeconomic Theory
Background:
- Agents often face choices involving immediate gratification versus long-term goals, a phenomenon studied in self-control models.
- Understanding the interplay between preferences, temptations, and the cost of self-control is crucial for explaining observed economic behavior.
- Existing models may require complex parameterizations to capture these dynamics.
Purpose of the Study:
- To develop and analyze a static self-control model.
- To simplify the representation of an agent's temptation ranking relative to their preferences.
- To establish a method for identifying the model's parameters using choice data.
Main Methods:
- Formulation of a static self-control model incorporating preferences, temptation ranking, and self-control costs.
- Mathematical analysis to demonstrate that assuming temptation ranking is the opposite of preference does not limit the model's scope.
- Characterization of the model by relaxing the Weak Axiom of Revealed Preference (WARP).
Main Results:
- It is without loss of generality to assume an agent's temptation ranking is the opposite of her preference.
- Violations of the Weak Axiom of Revealed Preference (WARP) can be systematically identified within this model.
- These WARP violations provide a mechanism for empirically identifying the model's underlying parameters.
Conclusions:
- The proposed static self-control model offers a parsimonious framework for understanding choice behavior.
- The simplification of temptation ranking reduces analytical complexity.
- The model's parameters can be estimated by observing deviations from rational choice axioms, specifically WARP.
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