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Projection pursuit regression and disaggregate productivity effects: the case of the Indian blast furnaces

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  • Sanghamitra Das

    (Planning Unit, Indian Statistical Institute, India)

  • Ramprasad Sengupta

    (Centre of Economic Studies and Planning, Jawaharlal Nehru University, India)

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.

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Bibliographic Info

Article provided by John Wiley & Sons, Ltd. in its journal Journal of Applied Econometrics.

Volume (Year): 19 (2004)
Issue (Month): 3 ()
Pages: 397-418

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Handle: RePEc:jae:japmet:v:19:y:2004:i:3:p:397-418

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Cited by:
  1. Kortelainen, Mika, 2008. "Estimation of semiparametric stochastic frontiers under shape constraints with application to pollution generating technologies," MPRA Paper 9257, University Library of Munich, Germany.
  2. Satya P. Das, 2011. "The political economy of revenue pressure and tax collection efficiency," Indian Growth and Development Review, Emerald Group Publishing, vol. 4(1), pages 38-52, April.
  3. Sanghamitra Das & Kala M. Krishna & Sergey Lychagin & Rohini Somanathan, 2011. "Lifting the Veil: The Face of TFP in an Indian Rail Mill," CESifo Working Paper Series 3515, CESifo Group Munich.

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