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Insights from machine learning for evaluating production function estimators on manufacturing survey data |
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| Authors: | Preciado Arreola José Luis Yagi Daisuke Johnson Andrew L |
| Institution: | 1.Department of Industrial and Systems Engineering, Texas A&M University, College Station, TX, USA ;2.Department of Industrial and Systems Engineering, Tecnológico de Monterrey, Monterrey, Mexico ;3.Department of Information and Physical Sciences, Osaka University, Osaka, Japan ; |
| Abstract: | Journal of Productivity Analysis - National statistical organizations often rely on non-exhaustive surveys to estimate industry-level production functions in years in which a full census is not... |
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