Discover 13 peer-reviewed studies in Economics (2020–2025). Explore research findings powered by Prolific's diverse participant panel.
This page lists 13 peer-reviewed papers in the research area of Economics in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.
-
Authors: A Agarwal, SY Lee
Year: 2025
Published in: Information Systems ..., 2025 - pubsonline.informs.org
Institution: University of Texas
Research Area: Information Systems, Behavioral Economics, Social Media Marketing, Advertising
Discipline: Information Systems Research, Marketing, Behavioral Science
This academic article explores a specific topic within the field of Information Systems Research.
Citations: 14
-
Authors: AC Wömmel
Year: 2025
Published in: 2025 - ediss.sub.uni-hamburg.de
Institution: University of Hamburg
Research Area: Machine Fairness, Behavioral Economics, Human-Machine Interaction
Discipline: Behavioral Economics, Artificial Intelligence, Human-Machine Interaction
Human behavior can undermine fairness interventions in AI, amplify inequalities, and reinforce socioeconomic disparities, emphasizing the need to integrate behavioral mechanisms into AI governance.
Methods: The dissertation utilized three empirical approaches: (i) deliberation experiments with UK participants using NLP analysis, (ii) online hiring experiments testing algorithmic fairness interventions, and (iii) panel data analysis of German households measuring digital skills and confidence levels.
Key Findings: Public attitudes towards AI, the adoption of fairness interventions in algorithmic tools, and socioeconomic disparities in digital skills and confidence.
Citations: 1
-
Authors: RA Stone, A Brown, F Douglas, M Green, E Hunter, M Lonnie, AM Johnstone, CA Hardman, FIO-Food Team
Year: 2024
Published in: Science Direct
Institution: Robert Gordon University, University College London, University of Aberdeen, University of Liverpool
Research Area: Food Insecurity, Public Health, Behavioral Economics (focusing on food purchasing behaviors and preparation practices related to obesity, cost of living)
Discipline: Public Health
The study examines how the UK cost of living crisis affects food purchasing and preparation behaviors in people with obesity, highlighting food insecurity and associated coping strategies, and calls for policy interventions to improve access to healthy foods.
Methods: An online survey was conducted with self-reported data on food insecurity, diet quality, cost of living impact, and food purchasing/preparation behaviors among adults with BMI ≥30 kg/m2 in England or Scotland.
Key Findings: Food insecurity, diet quality, impacts of the cost of living crisis, food purchasing behaviors, and food preparation practices among participants.
Citations: 46
Sample Size: 583
-
Authors: A von Schenk, V Klockmann
Year: 2024
Published in: ... on Psychological Science, 2025 - journals.sagepub.com
Institution: Max Planck Institute
Research Area: Social Preferences, Behavioral Economics, Human-Machine Interaction
Discipline: Behavioral Science
Humans exhibit stronger social preferences toward machines when they know machine payoffs benefit a human recipient, and weak preferences when payoff information is absent, suggesting belief formation is self-serving.
Methods: Conducted an online experiment with participants and follow-up surveys to compare the impact of different implementations of machine payoffs and information transparency on social preferences.
Key Findings: Social preferences and reciprocity behaviors toward machines with varying payoff structures and transparency about the beneficiaries.
DOI: https://doi.org/10.1177/17456916231194949
Citations: 40
Sample Size: 1198
-
Authors: LS Treiman, CJ Ho, W Kool
Year: 2024
Published in: Proceedings of the National Academy of ..., 2024 - pnas.org
Institution: Massachusetts Institute of Technology, Yale University, Washington University in St. Louis
Research Area: AI Ethics, Behavioral Economics, Decision-Making in AI Systems
Discipline: Artificial Intelligence, Behavioral Science
People alter their behavior when they know their actions will train AI, leading to unintentional habits and biased training data for AI systems.
Methods: Five studies were conducted using the ultimatum game; participants were tasked with deciding on monetary splits proposed by either humans or AI, with some informed their decisions would train the AI.
Key Findings: Behavioral changes in participants when training AI, persistence of these changes over time, and implications for AI training bias.
DOI: https://doi.org/10.1073/pnas.2408731121
Citations: 13
-
Authors: Y Ling, A Kale, A Imas
Year: 2024
Published in: Available at SSRN 5464215, 2025 - papers.ssrn.com
Institution: University of Chicago
Research Area: Behavioral Economics, AI Adoption, AI Disclosure
Discipline: Behavioral Economics
Citations: 7
-
Authors: M Svanberg, W Li, M Fleming, B Goehring, N Thompson
Year: 2024
Published in: SSRN
Institution: IBM Research, Massachusetts Institute of Technology, The Productivity Institute, CSAIL
Research Area: Computer Vision, Economics of IT, Deep Learning Systems
Discipline: Artificial Intelligence
-
Authors: Fabian Dvorak, Regina Stumpf, Sebastian Fehrler, Urs Fischbacher
Year: 2024
Published in: ArXiv
Institution: University of Konstanz
Research Area: Generative AI and Human Decision-Making, Behavioral Economics
Discipline: Artificial Intelligence, Behavioral Economics
-
Authors: G Newlands, C Lutz
Year: 2024
Published in: Science Direct
Institution: BI Norwegian Business School, University of Oxford
Research Area: Occupational Sociology, Labor Economics
Discipline: Sociology
-
Authors: N Gupta
Year: 2023
Published in: 2023 - search.proquest.com
Institution: University of California San Diego
Research Area: Behavioral and Experimental Economics, Dynamic Decision Environments
Discipline: Behavioral Economics
Citations: 1
-
Authors: V Kraft
Year: 2023
Published in: 2023 - lup.lub.lu.se
Research Area: Perceived Risks and Benefits of AI, Behavioral Economics
Discipline: Behavioral Economics, Artificial Intelligence
DOI: http://lup.lub.lu.se/student-papers/record/9118081
-
Authors: L Bursztyn, A Imas, R Jiménez-Durán, A Leonard
Year: 2022
Published in: 2025 - nber.org
Institution: University of Chicago, National Bureau of Economic Research, Booth School of Business, Bocconi University, Stanford University
Research Area: Behavioral Economics, Social Dynamics of Technology Adoption
Discipline: Behavioral Economics
Citations: 2
-
Authors: B Cowgill, F Dell'Acqua, S Matz
Year: 2020
Published in: AEA Papers and Proceedings, 2020 - aeaweb.org
Institution: Columbia University, Harvard Business School
Research Area: Algorithmic Fairness in Management, Economics
Discipline: Economics
Citations: 34