67 citations · 73 across the 14 of their papers we have counts for
16 papers
Large Language Models Substantially Compress Well-Being Dispersion but Largely Preserve Its Socioeconomic Structure
Nattavudh Powdthavee
Research using large language models (LLMs) to generate synthetic populations shows that model outputs compress human variation. We ask whether this compression also distorts where…
Do Large Language Models Encode Institutional Experience? Evidence from Cross-Linguistic Moral Reasoning Under Ambiguity
Nattavudh Powdthavee
Large language models (LLMs) exhibit systematic differences in moral reasoning across languages, yet the source of this variation remains unclear. We test the hypothesis that langu…
Large Language Models Outperform Humans in Fraud Detection and Resistance to Motivated Investor Pressure
Nattavudh Powdthavee
Large language models trained on human feedback may suppress fraud warnings when investors arrive already persuaded of a fraudulent opportunity. We tested this in a preregistered e…
How Much do People Care about Climate Natural Disasters?
Aatishya Mohanty, Nattavudh Powdthavee, Cheng Keat Tang +1
Scientists agree about the urgency of the problem of climate change. Most citizens, however, pay little attention to gradually increasing temperature levels. Growing numbers of nat…
AI-Generated Letters from the Future: A Randomized Test of Personalized Climate Communication
Nattavudh Powdthavee, Pat Pataranutaporn, Sandra J. Geiger +2
We examined whether personalized, AI-generated letters from the future can increase public engagement with climate action. In a preregistered online experiment with 1,654 U.S. pare…
Large language models accurately predict public perceptions of support for climate action worldwide
Nattavudh Powdthavee, Sandra J. Geiger
Although most people support climate action, widespread underestimation of others' support stalls individual and systemic changes. In this preregistered experiment, we test whether…
Simulating Life Paths with Digital Twins: AI-Generated Future Selves Influence Decision-Making and Expand Human Choice
Rachel Poonsiriwong, Chayapatr Archiwaranguprok, Constanze Albrecht +6
Major life transitions demand high-stakes decisions, yet people often struggle to imagine how their future selves will live with the consequences. To support this limited capacity…
Large Language Models Predict Human Well-being -- But Not Equally Everywhere
Pat Pataranutaporn, Nattavudh Powdthavee, Chayapatr Archiwaranguprok +1
Subjective well-being is a key metric in economic, medical, and policy decision-making. As artificial intelligence provides scalable tools for modelling human outcomes, it is cruci…
Can AI Solve the Peer Review Crisis? A Large Scale Cross Model Experiment of LLMs' Performance and Biases in Evaluating over 1000 Economics Papers
Pat Pataranutaporn, Nattavudh Powdthavee, Chayapatr Achiwaranguprok +1
This study examines the potential of large language models (LLMs) to augment the academic peer review process by reliably evaluating the quality of economics research without intro…
Algorithmic Inheritance: Surname Bias in AI Decisions Reinforces Intergenerational Inequality
Pat Pataranutaporn, Nattavudh Powdthavee, Pattie Maes
Surnames often convey implicit markers of social status, wealth, and lineage, shaping perceptions in ways that can perpetuate systemic biases and intergenerational inequality. This…
Temperature Variability and Natural Disasters
Aatishya Mohanty, Nattavudh Powdthavee, Cheng Keat Tang +1
This paper studies natural disasters and the psychological costs of climate change. It presents what we believe to be the first evidence that higher temperature variability and not…
How effective are covid-19 vaccine health messages in reducing vaccine skepticism? Heterogeneity in messages effectiveness by just world beliefs
Juliane Wiese, Nattavudh Powdthavee
To end the COVID-19 pandemic, policymakers have relied on various public health messages to boost vaccine take-up rates amongst people across wide political spectra, backgrounds, a…
Predicting Emotional Volatility Using 41,000 Participants in the United Kingdom
George MacKerron, Nattavudh Powdthavee
Emotional volatility is a human universal. Yet there has been no large-scale scientific study of predictors of that phenomenon. Building from previous works, which had been ad hoc…
Reputation as insurance: how reputation moderates public backlash following a company's decision to profiteer
Danae Arroyos-Calvera, Nattavudh Powdthavee
We examine whether a company's corporate reputation gained from their CSR activities and a company leader's reputation, one that is unrelated to his or her business acumen, can imp…
Assessing the impact of the coronavirus lockdown on unhappiness, loneliness, and boredom using Google Trends
Abel Brodeur, Andrew E. Clark, Sarah Fleche +1
The COVID-19 pandemic has led many governments to implement lockdowns. While lockdowns may help to contain the spread of the virus, it is possible that substantial damage to popula…
Robust Ranking of Happiness Outcomes: A Median Regression Perspective
Le-Yu Chen, Ekaterina Oparina, Nattavudh Powdthavee +1
Ordered probit and logit models have been frequently used to estimate the mean ranking of happiness outcomes (and other ordinal data) across groups. However, it has been recently h…