What Matters for a Good Life? A Novel Approach to Essential Preferences, Skills, and Personal Attributes
FELICITAS aims to revolutionize understanding of personal attributes by quantifying preferences and skills through a decision model, providing insights for effective policy and individual flourishing.
Projectdetails
Introduction
FELICITAS revolutionizes the way we think about preferences, skills, and other latent personal attributes (PSAs), estimates their heterogeneity along with its determinants, and provides policy implications.
Importance of PSAs
PSAs are key drivers of a myriad of decisions which combine to create an individual’s life story. Differences in PSAs, together with constraints and luck, underlie inequalities in outcomes. Knowledge of PSAs is essential for policymakers to design effective public policy. Self-knowledge of PSAs is crucial for individuals to sort into occupations, activities, and relationships which enable them to flourish.
Challenges in Identifying PSAs
However, unobserved PSAs are only noisily revealed by observed behavior. I develop a decision model which separately identifies noise due to imperfect self-knowledge and endogenous effort. I quantify their respective roles in different choice settings, de-bias estimates of PSAs, and assess their importance in essential life outcomes.
Methodology
I use these insights, along with an innovative discrete choice framework in which respondents choose between pairs of realistic life stories, to provide causal estimates of distributions in preferences (valuations) for policy-relevant life outcomes (longevity, health, family structure) in the United States and in Europe. I link the estimated heterogeneity to culture, demographics, and other PSAs.
New Latent Personal Attribute
Finally, I examine a new latent personal attribute - an individual's propensity to perceive time in a distorted manner. In a twist to received wisdom that time flows faster when one is engaged in a more enjoyable activity, I propose that utility obtained from an activity can be inferred using differences between “felt” and elapsed time.
Conjectures and Implications
I conjecture that the perceived duration of a task may both be the relevant decision variable, which reflects an individual's exerted effort on a task, and a determinant of required hourly wages. If empirically validated, we obtain a cardinal measure of utility which will transform its measurement.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 1.499.574 |
Totale projectbegroting | € 1.499.574 |
Tijdlijn
Startdatum | 1-11-2024 |
Einddatum | 31-10-2029 |
Subsidiejaar | 2024 |
Partners & Locaties
Projectpartners
- RHEINISCHE FRIEDRICH-WILHELMS-UNIVERSITAT BONNpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
Personality, Preferences, and Reference-DependenceThis project aims to define personality traits in economics through primitive preferences, enhancing predictive models and bridging psychology with economic analysis via large-scale experiments. | ERC Consolid... | € 1.694.043 | 2024 | Details |
The Dynamics of Attribute Weighting in Multiattribute ChoiceThis project investigates the dynamic nature of attribute weighting in decision-making using neural signals to enhance understanding of preference variability and inform clinical and policy implications. | ERC Consolid... | € 2.109.549 | 2025 | Details |
Increasing Self-Knowledge to Promote Moral BehaviorThe KNOW-THYSELF project aims to enhance moral behavior sustainably by promoting self-knowledge through a multidisciplinary approach, addressing biases, and fostering long-term personality change. | ERC Starting... | € 1.499.130 | 2022 | Details |
Biases in prospective learning and dynamic choicePROSPECT aims to experimentally uncover biases in individuals' ability to assess the benefits of information acquisition for dynamic decision-making and improve their predictive accuracy. | ERC Consolid... | € 1.644.025 | 2025 | Details |
Traits and Games: How Personal Cognitive and Psychological Features Affect Strategic BehaviorThis project analyzes the influence of agents' cognitive and psychological traits on behavior and strategic reasoning in decision-making and games, using a formal framework to separate traits from interaction rules. | ERC Advanced... | € 1.874.575 | 2024 | Details |
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.
The Dynamics of Attribute Weighting in Multiattribute Choice
This project investigates the dynamic nature of attribute weighting in decision-making using neural signals to enhance understanding of preference variability and inform clinical and policy implications.
Increasing Self-Knowledge to Promote Moral Behavior
The KNOW-THYSELF project aims to enhance moral behavior sustainably by promoting self-knowledge through a multidisciplinary approach, addressing biases, and fostering long-term personality change.
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.
Traits and Games: How Personal Cognitive and Psychological Features Affect Strategic Behavior
This project analyzes the influence of agents' cognitive and psychological traits on behavior and strategic reasoning in decision-making and games, using a formal framework to separate traits from interaction rules.