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Updated: Jun 30, 2025

The Joint Effect of Social Comparison and Social Distance on Evaluation of Intertemporal Choice Outcomes in Event-related Potential Studies
Published on: August 25, 2023
The unified tradeoff model
Marc Scholten1, Daniel J Walters2, Craig R Fox3
1Faculdade de Design, Tecnologia e Comunicacao, Universidade Europeia.
The unified tradeoff model offers a simpler, yet more comprehensive, account of intertemporal choice. It incorporates time bias to explain diverse preference patterns and predict new outcomes in decision-making research.
Area of Science:
- Behavioral Economics
- Decision Science
- Cognitive Psychology
Background:
- Attribute-based models provide a more accurate description of intertemporal choices compared to traditional alternative-based models.
- Existing tradeoff models, while comprehensive, suffer from complexity and fail to explain certain preference patterns, especially concerning monetary losses.
Purpose of the Study:
- To develop a unified tradeoff model for intertemporal choice that is simpler and more comprehensive than existing models.
- To introduce 'time bias' as a novel element to explain a broader range of preference patterns and generate new predictions.
Main Methods:
- The study introduces the unified tradeoff model, incorporating 'time bias'.
- Five empirical studies were conducted to test the model's predictions regarding delay, interval, sign, and magnitude dependence, as well as duration preference.
Main Results:
- The unified tradeoff model successfully accommodates a wide range of preference patterns, including those previously unexplained.
- Empirical studies confirmed the model's predictions across various intertemporal choice scenarios, demonstrating its predictive power.
Conclusions:
- The unified tradeoff model offers a parsimonious and comprehensive framework for understanding intertemporal choices.
- The model's ability to explain existing findings and generate novel predictions, particularly in consumption decisions, highlights its potential impact on decision science.
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