AI and Economic Measurement
Organized by Erik Brynjolfsson and Karen Dynan
Supported by the Alfred P. Sloan Foundation
May 7, 2026
SIEPR, Stanford University, Koret-Taube Conference Center, 366 Galvez Street, Stanford, CA
Thursday, May 7
8:15 am
Continental Breakfast
8:45 am
Welcome
9:00 am

Labor Markets and Skills
(20 minutes per paper; 15 minutes discussant; 15 minutes general Q & A)

Working with AI: Measuring the Applicability of Generative AI to Occupations

Kiran Tomlinson, Microsoft Research
Sonia Jaffe, Microsoft Research
Will Wang, Microsoft Research
Scott Counts, Microsoft Research
Siddharth Suri, Microsoft Research, NYC

What Work Does Generative AI Do?

Alexander Bick, Federal Reserve Bank of St. Louis
Adam Blandin, Vanderbilt University
David J. Deming, Harvard University and NBER
Tyler R. Schumacher, Vanderbilt University

Voice AI in Firms: A Natural Field Experiment on Automated Job Interviews

Brian Jabarian, The University of Chicago
Luca Henkel, Erasmus University Rotterdam

Discussant:
Kristina McElheran, University of Toronto
10:30 am
Break
10:45 am

LLM Agents for Economic Research
(20 minutes per paper; 15 minutes discussant; 15 minutes general Q & A)

General Social Agents

Benjamin S. Manning, Massachusetts Institute of Technology
John J. Horton, Massachusetts Institute of Technology and NBER

Interpreting and Steering LLM Agents for Social Simulations

Jiayue Fan, University of California, Berkeley
Arul Murugan, University of California, Berkeley
Shreyas Krishnan, University of California, Berkeley
Abhishek Nagaraj, University of California, Berkeley and NBER

GPT As A Measurement Tool

Hemanth Asirvatham, OpenAI
Elliott P. Mokski Andrei Shleifer, Harvard University and NBER

Discussant:
Matthew O. Jackson, Stanford University
12:15 pm
Lunch
1:15 pm

Lightning Round
(4 minutes per paper)

Leveraging LLMs to Improve Experimental Design: A Generative Stratification Approach

George Z. Gui, Columbia University
Seungwoo Kim, Columbia University

Life Sequence Transformer: Generative Modelling of Socio-Economic Trajectories from Administrative Data

Carlotta Montorsi, LISER
Alberto Cabezas, University of Oxford

Using Large Language Models to Measure U.S. Retirement Plan Design at Scale: Methods and Evidence

Taha Choukhmane, Massachusetts Institute of Technology and NBER
Johnny Dedyo, Yale University
Cormac O'Dea, Yale University and NBER
Lawrence D.W. Schmidt, Massachusetts Institute of Technology

The Geopolitical Determinant of Economic Growth, 1960 - 2024

Tianyu Fan, Yale University

Balancing Policy Objectives in Social Security Reform Using Hierarchical Weighted Multi-voting and Monte Carlo Mixed Integer Goal Programming

Arvind Sharma, Boston College
Aleksandar N/A. Tomic, Boston College
Lawrence V. Fulton, Boston College

A Test of Lookahead Bias in LLM Forecasts

Zhenyu Gao, The Chinese University of Hong Kong (CUHK)
Wenxi Jiang, The Chinese University of Hong Kong (CUHK)
Yutong Yan, The Chinese University of Hong Kong (CUHK)

Inflation Uncertainty: Measurement, Causes, and Consequences

Viral V. Acharya, New York University and NBER
Sebastian Hillenbrand, Harvard University
Venky Venkateswaran, New York University and NBER
Margaret Underwood, University of Michigan

The Costs of Housing Regulation: Evidence From Generative Regulatory Measurement

Alexander W. Bartik, University of Illinois Urbana-Champaign
Arpit Gupta, New York University
Daniel Milo, New York University

Artificial Intelligence in the Office and the Factory: Evidence from Administrative Software Registry Data

Gustavo De Souza, Federal Reserve Bank of Chicago

ChatMacro: Evaluating Inflation Forecasts of Generative AI

M. Jahangir Alam, Wilfrid Laurier University
Shane Boyle, Federal Reserve Bank of San Francisco
Huiyu Li, Federal Reserve Bank of San Francisco
Tatevik Sekhposyan, Texas A&M University
2:00 pm
Break
2:15 pm

AI, Productivity and Economic Value
(20 minutes per paper; 15 minutes discussant; 15 minutes general Q & A)

Is Software Eating the World? Measuring the Progress and Diffusion of AI

Filippo Bontadini, Luiss University
Carol A. Corrado, Georgetown University
Jonathan Haskel, Imperial College London
Cecilia Jona Lasinio, University LUISS Guido Carli

The Microstructure of AI Diffusion: Evidence from Firms, Business Functions, and Worker Tasks

Kathryn Bonney, U.S. Census Bureau
Cory L. Breaux, U.S. Census Bureau
Emin Dinlersoz, U.S. Census Bureau
Lucia S. Foster, U.S. Census Bureau
John C. Haltiwanger, University of Maryland, College Park and NBER
Aditya A. Pande, University of Maryland, College Park

The Household Impact of Generative AI: Evidence from Internet Browsing Behavior

Michael Blank, Stanford University
Gregor Schubert, University of California, Los Angeles
Miao Ben Zhang, University of Southern California
3:45 pm
Break
4:00 pm

Panel - TBA
5:00 pm
Closing Remarks
6:00 pm
Conference Dinner