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Demand-Driven Structural Change in Applied General Equilibrium Models

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Listed:
  • Roberto Roson

    (Department of Economics, University Of Venice CÃ Foscari and IEFE, Bocconi University, Milan)

  • Dominique van der Mensbrugghe

    (The Center for Global Trade Analysis, Purdue University, West Lafayette, IN, US)

Abstract

This study analyzes the variations in industrial structure induced by income-sensitive patterns of final consumption, and how these changes can be captured by a multi-sector numerical model with a flexible demand system. We focus, in particular, on the estimation of parameters for an AIDADS (An Implicitly, Directly Additive Demand System) specification. We then test the latter by inserting it in the ENVISAGE global general equilibrium dynamic model, which is run under the SSP2 scenario from 2011 to 2050. It is found that time-varying income elasticity can generate sizable variations in the industrial structure. This finding has important practical implications, particularly when structural models are applied at a medium and long term horizon.

Suggested Citation

  • Roberto Roson & Dominique van der Mensbrugghe, 2017. "Demand-Driven Structural Change in Applied General Equilibrium Models," Working Papers 2017:11, Department of Economics, University of Venice "Ca' Foscari".
    • Handle: RePEc:ven:wpaper:2017:11
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    References listed on IDEAS

    as
    1. Kiminori Matsuyama, 2002. "The Rise of Mass Consumption Societies," Journal of Political Economy, University of Chicago Press, vol. 110(5), pages 1035-1070, October.
    2. Justin Caron & Thibault Fally & James R. Markusen, 2021. "International Trade Puzzles: A Solution Linking Production And Preferences," World Scientific Book Chapters, in: BROADENING TRADE THEORY Incorporating Market Realities into Traditional Models, chapter 11, pages 199-250, World Scientific Publishing Co. Pte. Ltd..
    3. Powell, Alan A. & McLaren, Keith R. & Pearson, K.R. & Rimmer, Maureen T., 2002. "Cobb-Douglas Utility - Eventually!," Conference papers 330977, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    4. Diego Comin & Danial Lashkari & Martí Mestieri, 2021. "Structural Change With Long‐Run Income and Price Effects," Econometrica, Econometric Society, vol. 89(1), pages 311-374, January.
    5. Alexandre Gohin, 2005. "The specification of price and income elasticities in computable general equilibrium models : an application of latent separability," Post-Print hal-01931546, HAL.
    6. Golub, Alla & W. Hertel, Thomas, 2008. "Global Economic Integration and Land Use Change," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 23, pages 463-488.
    7. Ana Cecília Fieler, 2011. "Nonhomotheticity and Bilateral Trade: Evidence and a Quantitative Explanation," Econometrica, Econometric Society, vol. 79(4), pages 1069-1101, July.
    8. Harberger, Arnold C, 1998. "A Vision of the Growth Process," American Economic Review, American Economic Association, vol. 88(1), pages 1-32, March.
    9. Maureen T. Rimmer & Alan A. Powell, 1992. "Demand Patterns Across the Development Spectrum: Estimates for the AIDADS System," Centre of Policy Studies/IMPACT Centre Working Papers op-75, Victoria University, Centre of Policy Studies/IMPACT Centre.
    10. J. A. L. Cranfield & James S. Eales & Thomas W. Hertel & Paul V. Preckel, 2003. "Model selection when estimating and predicting consumer demands using international, cross section data," Empirical Economics, Springer, vol. 28(2), pages 353-364, April.
    11. Gohin, Alexandre, 2005. "The specification of price and income elasticities in computable general equilibrium models: An application of latent separability," Economic Modelling, Elsevier, vol. 22(5), pages 905-925, September.
    12. Yu, Wusheng & Hertel, Thomas W. & Preckel, Paul V. & Eales, James S., 2004. "Projecting world food demand using alternative demand systems," Economic Modelling, Elsevier, vol. 21(1), pages 99-129, January.
    13. Francisco J. Buera & Joseph P. Kaboski & Min Qiang Zhao, 2019. "The Rise of Services: The Role of Skills, Scale, and Female Labor Supply," Journal of Human Capital, University of Chicago Press, vol. 13(2), pages 157-187.
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    More about this item

    Keywords

    Demand systems; structural change; economic dynamics; computable general equilibrium models;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • D58 - Microeconomics - - General Equilibrium and Disequilibrium - - - Computable and Other Applied General Equilibrium Models
    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
    • O41 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models

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