Biases in prospective learning and dynamic choice
PROSPECT aims to experimentally uncover biases in individuals' ability to assess the benefits of information acquisition for dynamic decision-making and improve their predictive accuracy.
Projectdetails
Introduction
Many important economic decisions are made after individuals have had opportunities to acquire information. For example, investors can do research about the fundamentals of companies to estimate their future stock prices; consumers can read reviews before making purchase decisions; managers can experiment with different organizational structures before settling on one.
As information acquisition is costly, decision-makers must evaluate its benefit ex ante by engaging in prospective learning, that is, by trying to predict the amount of information they will receive.
Project Overview
PROSPECT aims to investigate experimentally whether individuals are able to correctly assess the benefits of future information acquisition, and to use this information proactively when making dynamic choices. The main objective is to uncover some potential fundamental biases in dynamic decision-making, such as:
- A tendency to acquire too little information.
- Under-experimenting relative to the rational benchmark.
Part 1: Identifying Biases in Prospective Learning
In Part 1, I aim to identify biases in prospective learning. The key question is whether individuals are able to correctly forecast the amount of information that a given real-life event reveals.
Part 1a: Finance Professionals
Part 1a will study finance professionals’ ability to prospectively learn from market prices.
Part 1b: General Population
Part 1b will investigate whether the general population is able to extract information from past economic events to better predict future economic events.
Part 2: Prospective Considerations in Dynamic Decision Problems
Part 2 studies how individuals take prospective considerations into account when solving dynamic decision problems.
Part 2a and 2b: Experimentation
In Parts 2a and 2b, I will characterize whether they experiment as much as economic models predict they should, and study two candidate micro-foundations for insufficient experimentation.
Part 2c: Prospective Thinking and Self-Control
Part 2c revisits an old idea in behavioral economics, according to which prospective thinking is key to achieving self-control.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 1.644.025 |
Totale projectbegroting | € 1.644.025 |
Tijdlijn
Startdatum | 1-5-2025 |
Einddatum | 30-4-2030 |
Subsidiejaar | 2025 |
Partners & Locaties
Projectpartners
- ECOLE POLYTECHNIQUEpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
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Modeling Misspecification: Incorporating Information Processing Biases into Economic Models
ModelMisspec aims to develop a unified framework for understanding information processing biases in decision-making, linking theory and empirical analysis to explore their economic implications.
Memory, Beliefs, and Economic Decisions
This project examines how selective memory influences economic decisions by shaping beliefs and preferences through environmental cues and past experiences.
Personality, Preferences, and Reference-Dependence
This project aims to define personality traits in economics through primitive preferences, enhancing predictive models and bridging psychology with economic analysis via large-scale experiments.
Information Economics With Fundamental Uncertainty: Robustness, Commitment, and Strategic Incentives
This project explores how fundamental uncertainty affects learning and strategic information sharing, using decision-theoretic frameworks to enhance understanding of active experimentation and information dynamics.
Add in choice: optimizing students' dynamic and interdependent decisions
This project aims to develop a methodology using dynamic discrete choice models to analyze optimal educational choice provision, considering externalities and internalities across all education levels.