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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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  • Sanghamitra Das & Ramprasad Sengupta, 2004. "Projection pursuit regression and disaggregate productivity effects: the case of the Indian blast furnaces," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(3), pages 397-418.
    • Handle: RePEc:jae:japmet:v:19:y:2004:i:3:p:397-418
    DOI: 10.1002/jae.756
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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 & Anuradha Saha, 2015. "Growth of business services: A supply-side hypothesis," Canadian Journal of Economics, Canadian Economics Association, vol. 48(1), pages 83-109, February.
    3. Sanghamitra Das & Kala Krishna & Sergey Lychagin & Rohini Somanathan, 2013. "Back on the Rails: Competition and Productivity in State-Owned Industry," American Economic Journal: Applied Economics, American Economic Association, vol. 5(1), pages 136-162, January.
    4. Satya P. Das, 2011. "The political economy of revenue pressure and tax collection efficiency," Indian Growth and Development Review, Emerald Group Publishing Limited, vol. 4(1), pages 38-52, April.
    5. 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.

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