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Simulated maximum likelihood estimation of demand systems with corner solutions and panel data application to industrial energy demand

Author

Listed:
  • Raja Chakir
  • Alban Thomas

Abstract

This paper proposes a convenient method for evaluating energy price elasticities, when firms may switch between energy regimes. The methodology involves estimation of an energy demand system that explicitly deals with the zero expenditures problem, while allowing for unobserved heterogeneity. We apply a Simulated Maximum Likelihood technique for estimating a simultaneous equation energy demand system in the French pulp and paper sector, over the period1983-1996. Endogenous regime transitions are accounted for when computing energy price elasticities. Our estimates are used to predict the outcome of an environmental policy aimed at reducing CO2 emissions in the paper and pulp industry.

Suggested Citation

  • Raja Chakir & Alban Thomas, 2003. "Simulated maximum likelihood estimation of demand systems with corner solutions and panel data application to industrial energy demand," Revue d'économie politique, Dalloz, vol. 113(6), pages 773-799.
  • Handle: RePEc:cai:repdal:redp_136_0773
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    References listed on IDEAS

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    1. Borsch-Supan, Axel & Hajivassiliou, Vassilis A., 1993. "Smooth unbiased multivariate probability simulators for maximum likelihood estimation of limited dependent variable models," Journal of Econometrics, Elsevier, vol. 58(3), pages 347-368, August.
    2. Mark M. Pitt & Daniel L. Millimet, 1999. "Estimation of Coherent Demand Systems with Many Binding Non-Negativity Constraints," Working Papers 99-4, Brown University, Department of Economics.
    3. Bousquet, Alain & Ivaldi, Marc, 1998. "An individual choice model of energy mix," Resource and Energy Economics, Elsevier, vol. 20(3), pages 263-286, September.
    4. 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.
    5. Keane, Michael, 1993. "Simulation estimation for panel data models with limited dependent variables," MPRA Paper 53029, University Library of Munich, Germany.
    6. 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.
    7. Hajivassiliou, V A, 1994. "A Simulation Estimation Analysis of the External Debt Crises of Developing Countries," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 9(2), pages 109-131, April-Jun.
    8. George Kouris, 1983. "Energy Demand Elasticities in Industrialized Countries: A Survey," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 73-94.
    9. Wales, T. J. & Woodland, A. D., 1983. "Estimation of consumer demand systems with binding non-negativity constraints," Journal of Econometrics, Elsevier, vol. 21(3), pages 263-285, April.
    10. Keane, Michael P, 1994. "A Computationally Practical Simulation Estimator for Panel Data," Econometrica, Econometric Society, vol. 62(1), pages 95-116, January.
    11. Vassilis A. Hajivassiliou, 1991. "Simulation Estimation Methods for Limited Dependent Variable Models," Cowles Foundation Discussion Papers 1007, Cowles Foundation for Research in Economics, Yale University.
    12. Lee, Lung-Fei & Pitt, Mark M, 1986. "Microeconometric Demand Systems with Binding Nonnegativity Constraints: The Dual Approach," Econometrica, Econometric Society, vol. 54(5), pages 1237-1242, September.
    13. 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.
    14. Neary, J. P. & Roberts, K. W. S., 1980. "The theory of household behaviour under rationing," European Economic Review, Elsevier, vol. 13(1), pages 25-42, January.
    15. Diewert, Walter E & Wales, Terence J, 1987. "Flexible Functional Forms and Global Curvature Conditions," Econometrica, Econometric Society, vol. 55(1), pages 43-68, January.
    16. Chihwa Kao & Lung-fei Lee & Mark M. Pitt, 2001. "Simulated Maximum Likelihood Estimation of the Linear Expenditure System with Binding Non-Negativity Constraints," Annals of Economics and Finance, Society for AEF, vol. 2(1), pages 215-235, May.
    17. Fuss, Melvyn A., 1977. "The demand for energy in Canadian manufacturing : An example of the estimation of production structures with many inputs," Journal of Econometrics, Elsevier, vol. 5(1), pages 89-116, January.
    18. Wales, T J & Woodland, A D, 1980. "Sample Selectivity and the Estimation of Labor Supply Functions," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 21(2), pages 437-468, June.
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    Cited by:

    1. Lin, Boqiang & Ahmad, Izhar, 2016. "Energy substitution effect on transport sector of Pakistan based on trans-log production function," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 1182-1193.
    2. BEL François & LACROIX Anne & SALANIE François & THOMAS Alban, 2006. "Evaluating the impact of CAP reforms on land use and the environment: a two-step estimation with multiple selection rules and panel data," LERNA Working Papers 06.13.206, LERNA, University of Toulouse.
    3. Lin, Boqiang & Atsagli, Philip, 2017. "Inter-fuel substitution possibilities in South Africa: A translog production function approach," Energy, Elsevier, vol. 121(C), pages 822-831.
    4. Wesseh, Presley K. & Lin, Boqiang & Appiah, Michael Owusu, 2013. "Delving into Liberia's energy economy: Technical change, inter-factor and inter-fuel substitution," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 122-130.
    5. Lin, Boqiang & Wesseh, Presley K., 2013. "Estimates of inter-fuel substitution possibilities in Chinese chemical industry," Energy Economics, Elsevier, vol. 40(C), pages 560-568.
    6. Wesseh, Presley K. & Lin, Boqiang, 2016. "Factor demand, technical change and inter-fuel substitution in Africa," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 979-991.
    7. Lin, Boqiang & Atsagli, Philip & Dogah, Kingsley E., 2016. "Ghanaian energy economy: Inter-production factors and energy substitution," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 1260-1269.

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