An LLM Workflow for Functional Form Sensitivity Analysis -- by Isaiah Andrews, Simon C. Essig Aberg, Jesse M. Shapiro

Published by
NBER
Published
Length
185 words · 1 min
2026, 18th Annual Feldstein Lecture, Mark Duggan, "Social Security Reform in an Era of Fiscal Deficits" Primary tabs
  • Acknowledgements and Disclosures

    We are grateful to Scott Kominers for comments and suggestions. This material is based upon work supported by the National Science Foundation Graduate Research Fellowship Program under Grant No. DGE 2140743. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. LLMs were used in the preparation of this article and its accompanying materials. The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research.


    Jesse M. Shapiro

    Shapiro has, in the past, been a paid visitor at Microsoft Research New England and a paid consultant for FutureOfCapitalism, LLC. Shapiro has been paid for writing by the New York Times.

    Shapiro's spouse has a disclosure statement posted at https://vivo.brown.edu/display/eoster1#Affiliations.

  • Citation and Citation DataCopy Citation Isaiah Andrews, Simon C. Essig Aberg, and Jesse M. Shapiro, "An LLM Workflow for Functional Form Sensitivity Analysis," NBER Working Paper 35947 (2026), https://doi.org/10.3386/w35947. Copy to Clipboard Download Citation
  • Associated Links
SI 2026 Methods Lecture
Using AI in Household Finance Research: A Practical Guide

Where this came from

This story was first published by NBER on 22 Oct 2026. HUE Legacy Ventures did not write it.

Carried in full with attribution and a link to the original. Rights remain with the publisher, who may request removal at any time.

Read it at nber.org →