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Projection pursuit regression and disaggregate productivity effects: the case of the Indian blast furnaces
Sanghamitra Das and
Ramprasad Sengupta
Additional contact information Ramprasad Sengupta: Centre of Economic Studies and Planning, Jawaharlal Nehru University, India, Postal: Centre of Economic Studies and Planning, Jawaharlal Nehru University, India
Journal of Applied Econometrics , 2004, vol. 19, issue 3, pages 397-418
Abstract:
Productivity of blast furnaces in India is studied by disaggregating the production process and the utilization process. A dimension-reducing nonparametric approach-projection pursuit regression-is used. We find that productivity can be increased significantly by improving the quality of coal. There is no evidence that executives have a positive marginal product. The production workers have a negative marginal product for the production process and a positive one for the utilization process. But the training of executives has a positive effect whereas that of the production workers has a negative effect on productivity. Copyright © 2004 John Wiley & Sons, Ltd.
Date: 2004
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