IDEAS home Printed from https://ideas.repec.org/a/jae/japmet/v19y2004i3p397-418.html
   My bibliography  Save this article

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

Author

Listed:
  • 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.

Suggested Citation

  • 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
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1002/jae.756
    File Function: Link to full text; subscription required
    Download Restriction: no
    File URL: http://qed.econ.queensu.ca:80/jae/2004-v19.3/
    File Function: Supporting data files and programs
    Download Restriction: no
    File URL: https://libkey.io/10.1002/jae.756?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Doms, Mark E, 1996. "Estimating Capital Efficiency Schedules within Production Functions," Economic Inquiry, Western Economic Association International, vol. 34(1), pages 78-92, January.
    2. Rust, John, 1987. "Optimal Replacement of GMC Bus Engines: An Empirical Model of Harold Zurcher," Econometrica, Econometric Society, vol. 55(5), pages 999-1033, September.
    3. Manski, Charles F, 1991. "Regression," Journal of Economic Literature, American Economic Association, vol. 29(1), pages 34-50, March.
    4. Zvi Griliches & Jacques Mairesse, 1995. "Production Functions: The Search for Identification," NBER Working Papers 5067, National Bureau of Economic Research, Inc.
    5. Jovanovic, Boyan & Nyarko, Yaw, 1996. "Learning by Doing and the Choice of Technology," Econometrica, Econometric Society, vol. 64(6), pages 1299-1310, November.
    6. Hardle, Wolfgang & Linton, Oliver, 1986. "Applied nonparametric methods," Handbook of Econometrics, in: R. F. Engle & D. McFadden (ed.), Handbook of Econometrics, edition 1, volume 4, chapter 38, pages 2295-2339, Elsevier.
    7. Das, Sanghamitra, 1991. "A semiparametric structural analysis of the idling of cement kilns," Journal of Econometrics, Elsevier, vol. 50(3), pages 235-256, December.
    8. Boyan Jovanovic, 1998. "Vintage Capital and Inequality," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 1(2), pages 497-530, April.
    9. Mark Armstrong & Simon Cowan & John Vickers, 1994. "Regulatory Reform: Economic Analysis and British Experience," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262510790, December.
    10. Richard Blundell & Alan Duncan, 1998. "Kernel Regression in Empirical Microeconomics," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 62-87.
    11. Rothwell, Geoffrey & Rust, John, 1997. "On the Optimal Lifetime of Nuclear Power Plants," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(2), pages 195-208, April.
    12. Horowitz, Joel L., 1993. "Semiparametric estimation of a work-trip mode choice model," Journal of Econometrics, Elsevier, vol. 58(1-2), pages 49-70, July.
    13. Casey Ichniowski & Kathryn Shaw & Giovanna Prennushi, 1995. "The Effects of Human Resource Management Practices on Productivity," NBER Working Papers 5333, National Bureau of Economic Research, Inc.
    14. Sanghamitra Das, 1992. "A Micro-Econometric Model of Capital Utilization and Retirement: The Case of the U.S. Cement Industry," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 59(2), pages 277-297.
    15. Ichniowski, Casey & Shaw, Kathryn & Prennushi, Giovanna, 1997. "The Effects of Human Resource Management Practices on Productivity: A Study of Steel Finishing Lines," American Economic Review, American Economic Association, vol. 87(3), pages 291-313, June.
    16. Powell, James L & Stock, James H & Stoker, Thomas M, 1989. "Semiparametric Estimation of Index Coefficients," Econometrica, Econometric Society, vol. 57(6), pages 1403-1430, November.
    17. Hardle, Wolfgang & Linton, Oliver, 1986. "Applied nonparametric methods," Handbook of Econometrics, in: R. F. Engle & D. McFadden (ed.), Handbook of Econometrics, edition 1, volume 4, chapter 38, pages 2295-2339, Elsevier.
    18. Mundlak, Yair, 1996. "Production Function Estimation: Reviving the Primal," Econometrica, Econometric Society, vol. 64(2), pages 431-438, March.
    19. Boyan Jovanovic & Yaw Nyarko, 1995. "A Bayesian Learning Model Fitted to a Variety of Empirical Learning Curves," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 26(1995 Micr), pages 247-305.
    20. Das, Satya P., 2001. "Trade and relative wages: The role of supervisory function by skilled workers," European Economic Review, Elsevier, vol. 45(1), pages 45-65, January.
    21. Ichimura, H., 1991. "Semiparametric Least Squares (sls) and Weighted SLS Estimation of Single- Index Models," Papers 264, Minnesota - Center for Economic Research.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    3. Satya P. Das & Anuradha Saha, 2015. "Growth of business services: A supply‐side hypothesis," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 48(1), pages 83-109, February.
    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ichimura, Hidehiko & Todd, Petra E., 2007. "Implementing Nonparametric and Semiparametric Estimators," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 74, Elsevier.
    2. Horowitz, Joel L. & Lee, Sokbae, 2005. "Nonparametric Estimation of an Additive Quantile Regression Model," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 1238-1249, December.
    3. Le-Yu Chen, 2009. "Identification of structural dynamic discrete choice models," CeMMAP working papers CWP08/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. Ghysels, E. & Ng, S., 1996. "A Semi-Parametric Factor Model for Interest Rates," Cahiers de recherche 9612, Universite de Montreal, Departement de sciences economiques.
    5. Heinz König & Michael Lechner, 1994. "Some Recent Developments in Microeconometrics - A Survey," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 130(III), pages 299-331, September.
    6. BERTINELLI, Luisito & STROBL, Eric, 2003. "Urbanization, urban concentration and economic growth in developing countries," LIDAM Discussion Papers CORE 2003076, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    7. Linton, Oliver, 1995. "Second Order Approximation in the Partially Linear Regression Model," Econometrica, Econometric Society, vol. 63(5), pages 1079-1112, September.
    8. Oliver Linton & Pedro Gozalo, 1996. "Conditional Independence Restrictions: Testing and Estimation," Cowles Foundation Discussion Papers 1140, Cowles Foundation for Research in Economics, Yale University.
    9. Mateos-Planas, Xavier, 2000. "Schooling and distortions in a vintage capital model," Discussion Paper Series In Economics And Econometrics 30, Economics Division, School of Social Sciences, University of Southampton.
    10. Lewbel, Arthur & McFadden, Daniel & Linton, Oliver, 2011. "Estimating features of a distribution from binomial data," Journal of Econometrics, Elsevier, vol. 162(2), pages 170-188, June.
    11. Hiroyuki Kasahara & Katsumi Shimotsu, 2018. "Estimation of Discrete Choice Dynamic Programming Models," The Japanese Economic Review, Japanese Economic Association, vol. 69(1), pages 28-58, March.
    12. Kasahara, Hiroyuki & Shimotsu, Katsumi, 2008. "Pseudo-likelihood estimation and bootstrap inference for structural discrete Markov decision models," Journal of Econometrics, Elsevier, vol. 146(1), pages 92-106, September.
    13. Mateos-Planas, Xavier, 2000. "Schooling and distortions in a vintage capital model," Discussion Paper Series In Economics And Econometrics 0030, Economics Division, School of Social Sciences, University of Southampton.
    14. Pedro Gozalo & Oliver Linton, 1994. "Local Nonlinear Least Squares Estimation: Using Parametric Information Nonparametrically," Cowles Foundation Discussion Papers 1075, Cowles Foundation for Research in Economics, Yale University.
    15. Eric Ghysels & Serena Ng, 1998. "A Semiparametric Factor Model Of Interest Rates And Tests Of The Affine Term Structure," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 535-548, November.
    16. Livanis, Grigorios T. & Salois, Matthew J. & Moss, Charles B., 2009. "A Nonparametric Kernel Representation of the Agricultural Production Function: Implications for Economic Measures of Technology," 83rd Annual Conference, March 30 - April 1, 2009, Dublin, Ireland 51063, Agricultural Economics Society.
    17. Richard V. Burkhauser & Amy Crews Cutts & Mary C. Daly & Stephen P. Jenkins, 1999. "Testing the significance of income distribution changes over the 1980s business cycle: a cross‐national comparison," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(3), pages 253-272, May.
    18. Maria Fraga O. Martins, 2001. "Parametric and semiparametric estimation of sample selection models: an empirical application to the female labour force in Portugal," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(1), pages 23-39.
    19. Richard W. Blundell & Martin Browning & Ian A. Crawford, 2003. "Nonparametric Engel Curves and Revealed Preference," Econometrica, Econometric Society, vol. 71(1), pages 205-240, January.
    20. Härdle, Wolfgang & Müller, Marlene, 1997. "Multivariate and semiparametric kernel regression," SFB 373 Discussion Papers 1997,26, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jae:japmet:v:19:y:2004:i:3:p:397-418. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley-Blackwell Digital Licensing or Christopher F. Baum (email available below). General contact details of provider: http://www.interscience.wiley.com/jpages/0883-7252/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.