Daniel Sabey

Daniel Sabey

PhD Student
Cornell University

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Contact:
Department of Economics
Cornell University
Ithaca, NY

About Me

Welcome! I am a PhD student in Economics at Cornell University. My research focuses on understanding and improving educational outcomes while considering their broader implications for labor markets and policy.

Research Interests:

  • Economics of Education
  • Health Economics
  • Labor Economics
  • Policy Analysis

I am particularly interested in studying how educational policies and interventions affect student outcomes and later life success. My research combines empirical analysis with policy-relevant questions to contribute to our understanding of education and labor markets.

Job Market Paper

Better Predictions, Worse Outcomes: An Experimental Evaluation of Giving Teachers Machine-Learning Forecasts of Student Achievement

with Jake Meyer  ·  [Download PDF]

In a randomized experiment across six campuses of a charter school network, we test whether providing teachers with machine-learning forecasts of student test scores improves student achievement. Treated teachers' predictions improved and they increased monitoring of struggling students, but student achievement declined by 0.099 standard deviations—falling most for the flagged students—as diagnostic outsourcing displaced productive deliberation and instructional review.