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Calibration of CES functions for real-world multisectoral modeling

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  • Ferran Sancho

Abstract

We show how to calibrate CES production and utility functions when indirect taxation affecting inputs and consumption is present. These calibrated functions can then be used in computable general equilibrium models. Taxation modifies the standard calibration procedures since any taxed good has two associated prices and a choice of reference value units has to be made. We also provide an example of computer code to solve the calibration of CES utilities under two alternate normalizations. To our knowledge, this paper fills a methodological gap in the CGE literature.

Suggested Citation

  • Ferran Sancho, 2007. "Calibration of CES functions for real-world multisectoral modeling," UFAE and IAE Working Papers 715.07, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    • Handle: RePEc:aub:autbar:715.07
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    References listed on IDEAS

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    1. Reinert, Kenneth A. & Roland-Holst, David W., 1992. "Armington elasticities for United States manufacturing sectors," Journal of Policy Modeling, Elsevier, vol. 14(5), pages 631-639, October.
    2. Klump, Rainer & Saam, Marianne, 2008. "Calibration of normalised CES production functions in dynamic models," Economics Letters, Elsevier, vol. 99(2), pages 256-259, May.
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    Cited by:

    1. Manuel Alejandro Cardenete & Ferran Sancho, 2012. "The Role Of Supply Constraints In Multiplier Analysis," Economic Systems Research, Taylor & Francis Journals, vol. 24(1), pages 21-34, June.
    2. Li, Aijun & Du, Nan & Wei, Qian, 2014. "The cross-country implications of alternative climate policies," Energy Policy, Elsevier, vol. 72(C), pages 155-163.
    3. Paul E. Brockway & Matthew K. Heun & João Santos & John R. Barrett, 2017. "Energy-Extended CES Aggregate Production: Current Aspects of Their Specification and Econometric Estimation," Energies, MDPI, vol. 10(2), pages 1-23, February.
    4. Hala Abu-Kalla & Ruslana Rachel Palatnik & Ofira Ayalon & Mordechai Shechter, 2020. "Hoard or Exploit? Intergenerational Allocation of Exhaustible Natural Resources," Energies, MDPI, vol. 13(24), pages 1-20, December.
    5. Guerra, Ana-Isabel & Sancho, Ferran, 2010. "Rethinking economy-wide rebound measures: An unbiased proposal," Energy Policy, Elsevier, vol. 38(11), pages 6684-6694, November.
    6. MASSIANI, Jérôme, 2022. "Computable General Equilibrium assessment of mega-events: Issues and possible solutions," Journal of Policy Modeling, Elsevier, vol. 44(5), pages 920-942.
    7. Christophe Heyndrickx & Natalia Tourdyeva & Victoria Alexeeva-Talebi, 2011. "The SUSTRUS model: a CGE model on regional level for sustainability policies in Russia," ERSA conference papers ersa11p1565, European Regional Science Association.
    8. Lin, Boqiang & Li, Aijun, 2011. "Impacts of carbon motivated border tax adjustments on competitiveness across regions in China," Energy, Elsevier, vol. 36(8), pages 5111-5118.
    9. Ikizler, Burcin & Pehlivan, Ayse Ozgur, 2020. "New trade models, different distributions, same old results?," Economics Letters, Elsevier, vol. 187(C).
    10. Li, Aijun & Lin, Boqiang, 2013. "Comparing climate policies to reduce carbon emissions in China," Energy Policy, Elsevier, vol. 60(C), pages 667-674.
    11. Li, Aijun & Zhang, Aizhen & Cai, Hongbo & Li, Xingfeng & Peng, Shishen, 2013. "How large are the impacts of carbon-motivated border tax adjustments on China and how to mitigate them?," Energy Policy, Elsevier, vol. 63(C), pages 927-934.
    12. Li, Aijun & Peng, Dan & Wang, Daoping & Yao, Xin, 2017. "Comparing regional effects of climate policies to promote non-fossil fuels in China," Energy, Elsevier, vol. 141(C), pages 1998-2012.
    13. Li, Aijun & Zhang, Aizhen, 2012. "Will carbon motivated border tax adjustments function as a threat?," Energy Policy, Elsevier, vol. 47(C), pages 81-90.
    14. Matthew K. Heun & João Santos & Paul E. Brockway & Randall Pruim & Tiago Domingos & Marco Sakai, 2017. "From Theory to Econometrics to Energy Policy: Cautionary Tales for Policymaking Using Aggregate Production Functions," Energies, MDPI, vol. 10(2), pages 1-44, February.
    15. Warziniack, Travis W. & Finnoff, David & Shogren, Jason F., 2013. "Public economics of hitchhiking species and tourism-based risk to ecosystem services," Resource and Energy Economics, Elsevier, vol. 35(3), pages 277-294.
    16. Lin, Boqiang & Li, Aijun, 2012. "Impacts of removing fossil fuel subsidies on China: How large and how to mitigate?," Energy, Elsevier, vol. 44(1), pages 741-749.
    17. Xu, Guangming & Zhong, Linhuan & Hu, Xinlei & Liu, Wei, 2022. "Optimal pricing and seat allocation schemes in passenger railway systems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 157(C).
    18. M. Alejandro Cardenete & M. Carmen Lima & Ferran Sancho, 2017. "A multiplier evaluation of primary factors supply–shocks," Working Papers 17.01, Universidad Pablo de Olavide, Department of Economics, Quantitative Methods and Economic History.

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    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access

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