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Poverty, income distribution and CGE micro-simulation modeling: Does the functional form of distribution matter?

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  • Dorothée Boccanfuso
  • Bernard Decaluwé
  • Luc Savard

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  • Dorothée Boccanfuso & Bernard Decaluwé & Luc Savard, 2008. "Poverty, income distribution and CGE micro-simulation modeling: Does the functional form of distribution matter?," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 6(2), pages 149-184, June.
    • Handle: RePEc:kap:jecinq:v:6:y:2008:i:2:p:149-184
    DOI: 10.1007/s10888-007-9055-y
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    28. Frank Cowell & Maria-Pia Victoria-Feser, 2003. "Distribution-Free Inference for Welfare Indices under Complete and Incomplete Information," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 1(3), pages 191-219, December.
    29. Maria-Pia Victoria-Feser, 1993. "Robust estimation of personal income distribution models," STICERD - Distributional Analysis Research Programme Papers 04, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
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    33. D. Boccanfuso & F. Cabral & F. Cissé & A. Diagne & L. Savard, 2003. "Pauvreté et distribution de revenus au Sénégal: une approche par la modélisation en équilibre général calculable micro-simulé," Cahiers de recherche 0333, CIRPEE.
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    Cited by:

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    2. Stefan Boeters & Luc Savard, 2011. "The Labour Market in CGE Models," Cahiers de recherche 11-20, Departement d'économique de l'École de gestion à l'Université de Sherbrooke.
    3. Boccanfuso, Dorothée & Richard, Patrick & Savard, Luc, 2013. "Parametric and nonparametric income distribution estimators in CGE micro-simulation modeling," Economic Modelling, Elsevier, vol. 35(C), pages 892-899.
    4. Debowicz, Dario & Golan, Jennifer, 2012. "The impact of Oportunidades on human capital and income distribution: a top-down/bottom-up approach," Conference papers 330252, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    5. Sung Y. Park & Anil K. Bera, 2018. "Information theoretic approaches to income density estimation with an application to the U.S. income data," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 16(4), pages 461-486, December.
    6. Wang, Xinxin & Chen, Kevin Z. & Robinson, Sherman & Huang, Zuhui, 2016. "Will China’s demographic transition exacerbate its income inequality? A CGE modeling with top-down microsimulation:," IFPRI discussion papers 1560, International Food Policy Research Institute (IFPRI).
    7. Breisinger, Clemens & Ecker, Olivier, 2014. "Simulating economic growth effects on food and nutrition security in Yemen: A new macro–micro modeling approach," Economic Modelling, Elsevier, vol. 43(C), pages 100-113.
    8. Debowicz, Darío & Golan, Jennifer, 2014. "The impact of Oportunidades on human capital and income distribution in Mexico: A top-down/bottom-up approach," Journal of Policy Modeling, Elsevier, vol. 36(1), pages 24-42.
    9. Aykut Mert Yakut & Ebru Voyvoda, 2017. "Intertemporal CGE Analysis of Income Distribution in Turkey," ERC Working Papers 1703, ERC - Economic Research Center, Middle East Technical University, revised Feb 2017.
    10. Bouët, Antoine & Estrades, Carmen & Laborde, David, 2012. "Cooperation vs. non cooperation in the multilateral trading system: the impact on poverty and inequality in developing countries," Conference papers 332287, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    11. Debowicz, Darío, 2016. "Does the microsimulation approach used in macro–micro modelling matter? An application to the distributional effects of capital outflows during Argentina's Currency Board regime," Economic Modelling, Elsevier, vol. 54(C), pages 591-599.
    12. Mahadevan, Renuka & Nugroho, Anda & Amir, Hidayat, 2017. "Do inward looking trade policies affect poverty and income inequality? Evidence from Indonesia's recent wave of rising protectionism," Economic Modelling, Elsevier, vol. 62(C), pages 23-34.
    13. James B Davies, 2009. "Combining microsimulation with CGE and macro modelling for distributional analysis in developing and transition countries," International Journal of Microsimulation, International Microsimulation Association, vol. 2(1), pages 49-56.
    14. Stephen Howes & Dung Doan, 2012. "Revisiting the relationship between targeting and program performance," Development Policy Centre Discussion Papers 1212, Development Policy Centre, Crawford School of Public Policy, The Australian National University.
    15. Boeters, Stefan & Savard, Luc, 2013. "The Labor Market in Computable General Equilibrium Models," Handbook of Computable General Equilibrium Modeling, in: Peter B. Dixon & Dale Jorgenson (ed.), Handbook of Computable General Equilibrium Modeling, edition 1, volume 1, chapter 0, pages 1645-1718, Elsevier.

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    More about this item

    Keywords

    Computable general equilibrium models; Estimation; Measurement and poverty analysis; Personal income and wealth distribution; I32; D31; C13; C68;
    All these keywords.

    JEL classification:

    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models

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