6 citations · 10 across the 4 of their papers we have counts for
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stat.AP2016★ 6 cited
Shape constrained kernel-weighted least squares: Application to production function estimation for Chilean manufacturing industries
Daisuke Yagi, Yining Chen, Andrew L. Johnson +1
In this paper we examine a novel way of imposing shape constraints on a local polynomial kernel estimator. The proposed approach is referred to as Shape Constrained Kernel-weighted…
stat.AP2016
Insights from Machine Learning for Evaluating Production Function Estimators on Manufacturing Survey Data
José Luis Preciado Arreola, Daisuke Yagi, Andrew L. Johnson
Organizations like U.S. Census Bureau rely on non-exhaustive surveys to estimate industry-level production functions in years in which a full Census is not conducted. When analyzin…