| Shape-constrained kernel-weighted least squares: Estimating production functions for Chilean manufacturing industries D Yagi, Y Chen, AL Johnson, T Kuosmanen Journal of Business & Economic Statistics 38 (1), 43-54, 2020 | 33 | 2020 |
| Insights from machine learning for evaluating production function estimators on manufacturing survey data JL Preciado Arreola, D Yagi, AL Johnson Journal of Productivity Analysis 53, 181-225, 2020 | 6 | 2020 |
| Semiconductor supply planning by considering transit options to take advantage of pre-productions and order cancellations D Yagi, K Nagasawa, T Irohara, H Ehm, G Yachi Simulation Modelling Practice and Theory 41, 46-58, 2014 | 3 | 2014 |
| An axiomatic nonparametric production function estimator: modeling production in Japan's cardboard industry D Yagi, Y Chen, AL Johnson, H Morita arXiv preprint arXiv:1906.08359, 2019 | 2 | 2019 |
| Theory and Application of Local Weighted Shape Constrained Estimators for Analyzing Census of Manufacturing Data D Yagi | | 2018 |
Andrew L JohnsonAmazon.com and Department of Industrial and Systems Engineering, Texas A&M確認したメール アドレス: tamu.edu
