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Found 5 papers, 0 papers with code
Advancing Distribution Decomposition Methods Beyond Common Supports: Applications to Racial Wealth Disparities
I illustrate my method revisiting the black-white wealth gap in the U. S. as a function of labor income and other variables.
Detailed Gender Wage Gap Decompositions: Controlling for Worker Unobserved Heterogeneity Using Network Theory
Recent advances in the literature of decomposition methods in economics have allowed for the identification and estimation of detailed wage gap decompositions.
An Interdisciplinary Outlook on Large Language Models for Scientific Research
In this paper, we describe the capabilities and constraints of Large Language Models (LLMs) within disparate academic disciplines, aiming to delineate their strengths and limitations with precision.
What is a Labor Market? Classifying Workers and Jobs Using Network Theory
Our classifications identify important dimensions of worker and job heterogeneity that standard classifications based on occupations and sectors miss.
Evaluating explainability for machine learning predictions using model-agnostic metrics
Rapid advancements in artificial intelligence (AI) technology have brought about a plethora of new challenges in terms of governance and regulation.
