Economics & Finance · Interdisciplinary & Society
General Economics
The newest papers in General Economics that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
88 papers, from 31 August 2026 to 4 November 2026: 59 arXiv preprints and 29 OpenAlex records.
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Newest papers
Does Frontier AI Strengthen Cyber Defense? Evidence from Project Glasswing
Defenders and attackers race to find the same software flaws.You Know What You Will Like: People Predict Their Own Ratings Better Than Recommender Systems
Recommender systems usually learn what people want from what they have done.Dull, Dirty, Dangerous? Working Conditions and the Limits of Occupational AI Exposure
Automation is often justified as relief from dull, dirty, and dangerous work.Decision Models as Scalable Economic Surrogates that Capture Human Variation
Decision Models (DMs), a new class of AI models, give fast responses and return a probability distribution over a fixed set of options.Ask More, Hear Less: How a Review Prompt Changes What Online Ratings Show
Platforms ask customers for online reviews to reduce self-selection, but theory conflicts on whether review solicitation makes online ratings more or less informative.How Green Is Your Manifesto? Scoring Environmental Positions in the 2024 EU Elections with an LLM Panel
Locating political parties on environmental and climate policy is central to the study of party competition, yet the established instruments, expert surveys and the hand coding of manifestos, are…Designing Behavioral Profiles for Language Model Simulation of Out-of-Distribution Human Behavior
Large language models (LLMs) are increasingly used to simulate human behavior, but which descriptions of people improve prediction when experimental designs change remains unclear.Crowds Believe in You: Online Prediction Markets Overestimate How Often People Achieve Their Own Goals
People increasingly share personal goals online and invite others to forecast them.Practice Makes Perfect: Tacit Knowledge, Generative AI, and Returns to Schooling and Experience
Generative AI changes the scarcity of different forms of human capital.A Stationary Mean-Field Model for Carbon Market Stability Reserve
We formulate the design of a market stability reserve as a stationary mean-field singular control problem.The Delegation Divide: An Open Index of AI-Agent Delegability across Occupations and Countries
35.2% of task time in world employment is at least partly delegable to AI agents in 2026, and only 2.5% can be handed over in full.Joules-to-GDP: How Much Economic Value Do AI Systems Produce per Unit of Energy?
An AI system can produce more economically valuable work while delivering less value for the energy it consumes.The Capability Transfer: Cohort Reversal, Codified Expertise, and the Adaptability Tax of AI Transformation
Most analyses of AI and employment ask which jobs are exposed.Prospect Theory in Large Language Models: A Meta-Analysis of Loss Aversion, Diminishing Sensitivity, and Probability Weighting
Prospect theory splits risky choice into three parts: loss aversion, measured by the relative weight of losses to gains, $λ$ (e.g., $λ= 2$ implies that losses weigh twice as much as gains)…Motivation and Contribution in Open Source Software: A Meta-Analytic Investigation
Research on why people contribute to open source software (OSS) and related open collaboration platforms spans more than two decades, but its findings conflict, and studies often treat the work…The Customer Is the Builder: How AI Coding Agents Are Rewriting the Economics of Software
AI coding agents could change whether organizations buy software or build the functionality they need.Speculative Imbalance Positions by Non-Physical Traders: Impacts on Electricity System Balancing in Great Britain
The electricity system in Great Britain (GB) allows participants to deliberately produce or consume a different volume to their traded position and has incentivised this practice with a single…Occupational Uniqueness and Wage Growth
Changes in occupational task content may have different economic implications depending on whether the tasks gained or lost are occupation-specific or already widespread across the economy.Digital Nudge Effects in Optimal Stopping Games: Antagonistic Interactions in Layered Choice Architectures
Digital nudges have become a prominent area of research in human-centered interaction, yet little is known about how they interact when deployed together.JaxMARL-BC: Multi-Agent Reinforcement Learning for Macroeconomic Modelling, in Seconds
Multi-agent reinforcement learning (MARL) offers a principled way of populating simulated economies with many heterogeneous decision makers.