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

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  • 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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    Cited by:

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    3. 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.
    4. Raja Chakir & Alban Thomas, 2020. "Unintended consequences of environmental policies: the case of set-aside and agricultural intensification," Working Papers hal-02482207, HAL.
    5. Obafèmi P. Koutchadé & Alain Carpentier & Fabienne Femenia, 2021. "Modeling Corners, Kinks, and Jumps in Crop Acreage Choices: Impacts of the EU Support to Protein Crops," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(4), pages 1502-1524, August.
    6. 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.
    7. 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.
    8. 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.
    9. 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.

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