Tootfinder

Unraveling Human Capital Complexity: Economic Complexity Analysis of Occupations and Skills
Soohyoung Lee, Dawoon Jeong, Jeong-Dong Lee
https://arxiv.org/abs/2506.12960

Unraveling Human Capital Complexity: Economic Complexity Analysis of Occupations and Skills
This study investigates the structural embeddedness of skills in the division of labor. Drawing on O*NET data covering 120 skills across 872 U.S. occupations, we identify three skill communities: general, cognitive, and physical skills. Compressing the connectivity in the occupation-skill network through the Method of Reflection, we derive the Occupational Complexity Index (OCI) and the Skill Complexity Index (SCI). They unpack the structure of the occupation skill network that general skills a…

Secondary Bounded Rationality: A Theory of How Algorithms Reproduce Structural Inequality in AI Hiring
Jia Xiao
https://arxiv.org/abs/2507.09233 https://…

Secondary Bounded Rationality: A Theory of How Algorithms Reproduce Structural Inequality in AI Hiring
AI-driven recruitment systems, while promising efficiency and objectivity, often perpetuate systemic inequalities by encoding cultural and social capital disparities into algorithmic decision making. This article develops and defends a novel theory of secondary bounded rationality, arguing that AI systems, despite their computational power, inherit and amplify human cognitive and structural biases through technical and sociopolitical constraints. Analyzing multimodal recruitment frameworks, we …

Cash and Cognition: The Impact of Transfer Timing on Standardized Test Performance and Human Capital
Axel Eizmendi Larrinaga, Germ\'an Reyes
https://arxiv.org/abs/2507.21393

Cash and Cognition: The Impact of Transfer Timing on Standardized Test Performance and Human Capital
This paper shows that the timing of monetary transfers to low-income families affects students' cognitive performance on high-stakes standardized tests. We combine administrative records from the world's largest conditional cash transfer program with college admission exam results of 185,000 high school students from beneficiary families. Exploiting random variation in payment dates, we find that receiving the transfer in the days preceding the exam increases test scores by 0.01 standard deviat…