By clicking “Accept All Cookies,” you agree to the storing of cookies on your device to enhance site navigation and analyze site usage.

Skip to main content

IDE Publications

At the IDE, research and data-based evidence underlie all that we do. Explore the IDE’s publications archives, including cutting-edge academic papers, featured in leading publications around the globe.

 

Working Papers Production function estimation using subjective expectations data

Agnes Norris Keiller – London School of Economics

 Áureo de Paula – University College London, Institute for Fiscal Studies and CeMMAP

Economists have struggled for decades to estimate production functions accurately. This paper aims to define a new statistical method for measuring how firms turn inputs, such as labor, capital and materials, into output.

Research Papers Prioritization of Risks from Artificial Intelligence: A Delphi Study of 272 International Experts

Alexander K. Saeri

Jess Graham

Michael Noetel, et al.

 

This paper reports results from a three-round Delphi study conducted late 2025 with 272 international AI experts who rated 24 AI risks on harm probability and severity, sector and actor vulnerability, actor responsibility, and overall concern.

Working Papers General Social Agents

Useful social science theories predict behavior across settings. However, applying a theory to make predictions in new settings is challenging: rarely can it be done without ad hoc modifications to account for setting-specific factors. We argue that AI agents put in simulations of those novel settings offer an alternative for applying theory, requiring minimal or no modifications.

Research Papers Advancing AI negotiations: A large-scale autonomous negotiation competition

Michelle Vaccaro

Michael Caosun

Jared R. Curhan

 

This research reveals that principles from human negotiation theory remain crucial even in AI–AI contexts and that AI-specific technical strategies also create success. The results suggest the need to establish a new theory of AI negotiation that integrates classic negotiation theory with AI-specific negotiation theories to better understand autonomous negotiations and optimize agent performance.