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Income Distribution in Computable General Equilibrium Modeling

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  • Bourguignon, François
  • Bussolo, Maurizio

Abstract

Studying the poverty and income distribution effects of macroeconomic policies or shocks requires a methodology that accounts on the one hand for the nature of the policy or shock being studied and their aggregate impact on the economy and, on the other hand, the heterogeneity of their overall effects among individuals or households at the micro level. Standard evaluation methods are of little use here. Methods based on the comparison between individuals exposed and not exposed to the policy or shock are clearly not applicable since, by definition, all individuals are affected by any policy with some macroeconomic dimension. The evaluation methodology thus needs to rely not only on a micro but also on a macro counterfactual within some kind of general equilibrium setting.

Suggested Citation

  • Bourguignon, François & Bussolo, Maurizio, 2013. "Income Distribution in Computable General Equilibrium Modeling," Handbook of Computable General Equilibrium Modeling, Elsevier.
  • Handle: RePEc:eee:hacchp:v:1:y:2013:i:c:p:1383-1437
    DOI: 10.1016/B978-0-444-59568-3.00021-3
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    Cited by:

    1. van Ruijven, Bas J. & O’Neill, Brian C. & Chateau, Jean, 2015. "Methods for including income distribution in global CGE models for long-term climate change research," Energy Economics, Elsevier, vol. 51(C), pages 530-543.
    2. Luciano Canova & Luca Piccoli & Amedeo Spadaro, 2015. "An ex ante evaluation of the Revenu de Solidarité Active by micro–macro simulation techniques," IZA Journal of European Labor Studies, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-20, December.
    3. Devarajan, Shantayanan & Go, Delfin S. & Maliszewska, Maryla & Osorio-Rodarte, Israel & Timmer, Hans, 2015. "Stress-testing Africa's recent growth and poverty performance," Journal of Policy Modeling, Elsevier, vol. 37(4), pages 521-547.
    4. Ahmed, S. Amer & Cruz, Marcio & Go, Delfin S. & Maliszewska, Maryla & Osorio-Rodarte, Israel, 2014. "How significant is Africa's demographic dividend for its future growth and poverty reduction ?," Policy Research Working Paper Series 7134, The World Bank.

    More about this item

    Keywords

    CGE; macro-micro models; static and dynamic microsimulation; inequality; income distribution;

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling
    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • D33 - Microeconomics - - Distribution - - - Factor Income Distribution
    • D58 - Microeconomics - - General Equilibrium and Disequilibrium - - - Computable and Other Applied General Equilibrium Models
    • I30 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

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