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Identifying key elasticities in a CGE model: a Monte Carlo approach

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  • Antoine Belgodere
  • Charles Vellutini

Abstract

This article presents a simple Monte Carlo (MC) procedure to improve sensitivity analysis in Computable general equilibrium (CGE) modelling. MC experiments provide the modeller with a population of randomly drawn exogenous parameters and corresponding endogenous outcomes. Standard econometrics can then shed light on the relationship between them and help to identify key parameters, particularly key elasticities.

Suggested Citation

  • Antoine Belgodere & Charles Vellutini, 2011. "Identifying key elasticities in a CGE model: a Monte Carlo approach," Applied Economics Letters, Taylor & Francis Journals, vol. 18(17), pages 1619-1622.
  • Handle: RePEc:taf:apeclt:v:18:y:2011:i:17:p:1619-1622
    DOI: 10.1080/13504851.2011.554366
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    Citations

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    Cited by:

    1. Yingying Lu & David I. Stern, 2016. "Substitutability and the Cost of Climate Mitigation Policy," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 64(1), pages 81-107, May.
    2. Osman, Rehab & Ferrari, Emanuele & McDonald, Scott, 2019. "Is improving Nile water quality ‘fruitful’?," Ecological Economics, Elsevier, vol. 161(C), pages 20-31.
    3. Osman, Rehab & Ferrari, Emanuele & McDonald, Scott, 2015. "Water Quality Assessment SAM/CGE and Satellite Accounts Integrated Framework-Egypt," 89th Annual Conference, April 13-15, 2015, Warwick University, Coventry, UK 204292, Agricultural Economics Society.
    4. Osman, Rehab & Ferrari, Emanuele & McDonald, Scott, 2015. "Water Quality Assessment SAM/CGE and Satellite Accounts Integrated Framework," 89th Annual Conference, April 13-15, 2015, Warwick University, Coventry, UK 204291, Agricultural Economics Society.
    5. Sébastien Mary & Euan Phimister & Deborah Roberts & Fabien Santini, 2013. "Testing the sensitivity of CGE results: A Monte Carlo Filtering approach to an application to rural development policies in Aberdeenshire," JRC Working Papers JRC85290, Joint Research Centre (Seville site).
    6. Kim, Euijune & Hewings, Geoffrey J.D. & Lee, Changkeun, 2016. "Impact of educational investments on economic losses from population ageing using an interregional CGE-population model," Economic Modelling, Elsevier, vol. 54(C), pages 126-138.
    7. Rehab Osman & Emanuele Ferrari & Scott McDonald, 2016. "Water Scarcity and Irrigation Efficiency in Egypt," Water Economics and Policy (WEP), World Scientific Publishing Co. Pte. Ltd., vol. 2(04), pages 1-28, December.
    8. Skelton, Alexandra C.H. & Paroussos, Leonidas & Allwood, Julian M., 2020. "Comparing energy and material efficiency rebound effects: an exploration of scenarios in the GEM-E3 macroeconomic model," Ecological Economics, Elsevier, vol. 173(C).

    More about this item

    Keywords

    Monte Carlo; elasticities; CGE;

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