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Sanghamitra Das
;
Ramprasad Sengupta

projection pursuit regression and disaggregate productivity effects: the case of the indian blast furnaces (replication data)

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.

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Das, Sanghamitra; Sengupta, Ramprasad (2004): Projection pursuit regression and disaggregate productivity effects: the case of the Indian blast furnaces (replication data). Version: 1. Journal of Applied Econometrics. Dataset. http://dx.doi.org/10.15456/jae.2022319.0705378517