15 citations · 17 across the 3 of their papers we have counts for
3 papers
econ.EM2024
Detailed Gender Wage Gap Decompositions: Controlling for Worker Unobserved Heterogeneity Using Network Theory
Jamie Fogel, Bernardo Modenesi
Recent advances in the literature of decomposition methods in economics have allowed for the identification and estimation of detailed wage gap decompositions. In this context, bui…
cs.CL2023★ 15 cited
An Interdisciplinary Outlook on Large Language Models for Scientific Research
James Boyko, Joseph Cohen, Nathan Fox +9
In this paper, we describe the capabilities and constraints of Large Language Models (LLMs) within disparate academic disciplines, aiming to delineate their strengths and limitatio…
econ.GN2023★ 2 cited
What is a Labor Market? Classifying Workers and Jobs Using Network Theory
Jamie Fogel, Bernardo Modenesi
This paper develops a new data-driven approach to characterizing latent worker skill and job task heterogeneity by applying an empirical tool from network theory to large-scale Bra…