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Modeling corner solutions with panel data: Application to the industrial energy demand in France

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  • Raja Chakir

    ()

  • Alain Bousquet
  • Norbert Ladoux

Abstract

This paper provides an empirical application of Lee and Pitt’s (1986) approach to the problem of corner solutions in the case of panel data. This model deals with corner solutions in a manner consistent with the firm behavior theory while controlling for unobserved heterogeneity. In this model, energy demand at industrial plant level is the result of a discrete choice of the type of the energy to be consumed and a continuous choice that defines the level of demand. The econometric model is, essentially, an endogenous switching regime model which requires the evaluation of multivariate probability integrals. We estimate the random effect model by maximum likelihood using a panel of industrial French plants from the paper and pulp industry. We calculate empirical price elasticities of energy demand from the model. We also study the effects on energy demand of an environmental policy aimed at reducing CO 2 emissions. Copyright Springer-Verlag 2004

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File URL: http://hdl.handle.net/10.1007/s00181-003-0194-0
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Bibliographic Info

Article provided by Springer in its journal Empirical Economics.

Volume (Year): 29 (2004)
Issue (Month): 1 (January)
Pages: 193-208

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Handle: RePEc:spr:empeco:v:29:y:2004:i:1:p:193-208

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Related research

Keywords: Energy demand system; zero expenditures; panel data; random effects model; C33; C34; D21; Q41;

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References

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  1. Chamberlain, Gary, 1980. "Analysis of Covariance with Qualitative Data," Review of Economic Studies, Wiley Blackwell, vol. 47(1), pages 225-38, January.
  2. Lee, Lung-Fei & Pitt, Mark M., 1987. "Microeconometric Models of Rationing, Imperfect Markets, and Non-Negativity Constraints," Bulletins 7470, University of Minnesota, Economic Development Center.
  3. C. Gourieroux & Jean-Jacques Laffont & A. Monfort, 1979. "Coherency Conditions In Simultaneous Linear Equation Models With Endogenous Switching Regimes," NBER Working Papers 0343, National Bureau of Economic Research, Inc.
  4. Bousquet, Alain & Ivaldi, Marc, 1998. "An individual choice model of energy mix," Resource and Energy Economics, Elsevier, vol. 20(3), pages 263-286, September.
  5. Diewert, Walter E & Wales, Terence J, 1987. "Flexible Functional Forms and Global Curvature Conditions," Econometrica, Econometric Society, vol. 55(1), pages 43-68, January.
  6. Van Soest, Arthur & Kooreman, Peter, 1990. "Coherency of the indirect translog demand system with binding nonnegativity constraints," Journal of Econometrics, Elsevier, vol. 44(3), pages 391-400, June.
  7. Thomas Bue Bjorner & Henrik Holm Jensen, 2002. "Interfuel Substitution within Industrial Companies: An Analysis Based on Panel Data at Company Level," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 27-50.
  8. Alan D. Woodland, 1993. "A Micro-Econometric Analysis of the Industrial Demand for Energy in NSW," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 57-90.
  9. Nerlove,Marc, 2002. "Essays in Panel Data Econometrics," Cambridge Books, Cambridge University Press, number 9780521815345, October.
  10. Nerlove,Marc, 2005. "Essays in Panel Data Econometrics," Cambridge Books, Cambridge University Press, number 9780521022460, October.
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Cited by:
  1. Rosario Crinò, 2009. "Service Offshoring and White-Collar Employment," Working Papers 391, Barcelona Graduate School of Economics.
  2. Millimet, Daniel L. & Tchernis, Rusty, 2008. "Estimating high-dimensional demand systems in the presence of many binding non-negativity constraints," Journal of Econometrics, Elsevier, vol. 147(2), pages 384-395, December.
  3. Rosario Crino, 2006. "Are U.S. White-Collar Really at Risk of Service Offshoring?," KITeS Working Papers 183, KITeS, Centre for Knowledge, Internationalization and Technology Studies, Universita' Bocconi, Milano, Italy, revised Oct 2006.

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