3 papers
econ.GN2026
Technology Shocks, Relative Performance Measures, and Outcomes: Evidence from Classical Chess
Dan Ben-Moshe, David Genesove
In the fall of 2020, neural-network methods produced a large improvement in chess engines that became freely and widely available. By the end of 2021, the monthly draw rate in clas…
econ.EM2026
Assignment at the Frontier: Identifying the Frontier Structural Function and Bounding Mean Deviations
Dan Ben-Moshe, David Genesove
This paper analyzes a model in which an outcome equals a frontier function of inputs minus a nonnegative unobserved deviation. The inputs may be endogenous (statistically dependent…
econ.EM2026
Unbiased Estimation of Central Moments in Unbalanced Two- and Three-Level Models
Dan Ben-Moshe, David Genesove
This paper derives closed-form unbiased estimators of central moments in multilevel random-effects models with unbalanced group sizes. In a two-level model, we provide unbiased est…