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Pauvreté et distribution de revenus au Sénégal: une approche par la modélisation en équilibre général calculable micro-simulé

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Author Info

  • D. Boccanfuso
  • F. Cabral
  • F. Cissé
  • A. Diagne
  • L. Savard

Abstract

La nouvelle orientation de la politique économique au Sénégal vise à accroître les revenus des pauvres et à attaquer la pauvreté là où elle est principalement localisée. La stratégie de réduction de la pauvreté va être mise en oeuvre dans un contexte de libéralisation des échanges commerciaux internationaux notamment dans le secteur agricole. Dans ce contexte, nous avons développé un modèle d'équilibre général calculable micro-simulé multi-ménages du type Decaluwé et al. (1999) permettant d'évaluer l'impact que pourront avoir ces politiques agricoles à l'échelle des ménages et de faire le lien entre ces réformes économiques, la pauvreté et la distribution de revenu. Ce modèle offre beaucoup de flexibilité en permettant notamment de modifier la distribution des groupes cibles qui n'ont pas à être revenus avant l'exercice de simulation afin d'effectuer l'analyse de pauvreté et d'inégalité ex post à l'exercice de modélisation. Dans ce travail, nous avons également comparé les effets en terme d'analyse de pauvreté et d'inégalité entre une distribution paramétrique (Dagum, 3 paramètres) et une distribution non-paramétrique et montré que ce choix engendrait des différences significatives quant aux effets sur la pauvreté. Contrairement aux applications faite par Decaluwé et al. (1999) et Cockburn (2002) au Népal, les impacts sur la pauvreté sont assez importants, ce qui montre que cette approche offre un outil riche permettant d'évaluer l'impact de politiques économiques ou chocs externes sur la pauvreté et la distribution de revenu.

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Bibliographic Info

Paper provided by CIRPEE in its series Cahiers de recherche with number 0333.

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Date of creation: 2003
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Handle: RePEc:lvl:lacicr:0333

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Keywords: Modèle d'équilibre général calculable; micro-simulation; analyse de pauvreté; distribution de revenu;

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References

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  1. McDonald, James B. & Xu, Yexiao J., 1995. "A generalization of the beta distribution with applications," Journal of Econometrics, Elsevier, vol. 69(2), pages 427-428, October.
  2. Decaluwe, B. & Patry, A. & Savard, L. & Thorbecke, E., 1999. "Poverty Analysis Within a General Equilibrium Framework," Cahiers de recherche 9909, Université Laval - Département d'économique.
  3. Michael B. Gordy, 1998. "A generalization of generalized beta distributions," Finance and Economics Discussion Series 1998-18, Board of Governors of the Federal Reserve System (U.S.).
  4. Luc Savard, 2003. "Poverty and Income Distribution in a CGE-Household Micro-Simulation Model: Top-Down/Bottom Up Approach," Cahiers de recherche 0343, CIRPEE.
  5. McDonald, James B, 1984. "Some Generalized Functions for the Size Distribution of Income," Econometrica, Econometric Society, vol. 52(3), pages 647-63, May.
  6. John Cockburn, 2002. "Trade Liberalisation and Poverty in Nepal: A Computable General Equilibrium Micro Simulation Analysis," CSAE Working Paper Series 2002-11, Centre for the Study of African Economies, University of Oxford.
  7. Ravallion, Martin & Chen, Shaohua, 1997. "What Can New Survey Data Tell Us about Recent Changes in Distribution and Poverty?," World Bank Economic Review, World Bank Group, vol. 11(2), pages 357-82, May.
  8. Maurizio Bussolo & Jann Lay, 2003. "Globalisation and Poverty Changes in Colombia," OECD Development Centre Working Papers 226, OECD Publishing.
  9. Dorothée Boccanfuso & Bernard Decaluwé & Luc Savard, 2003. "Poverty, Income Distribution and CGE Modeling: Does the Functional Form of Distribution Matter?," Cahiers de recherche 0332, CIRPEE.
  10. Thorbecke, Erik, 1991. "Adjustment, growth and income distribution in Indonesia," World Development, Elsevier, vol. 19(11), pages 1595-1614, November.
  11. Morrisson, Christian, 1991. "Adjustment, incomes and poverty in Morocco," World Development, Elsevier, vol. 19(11), pages 1633-1651, November.
  12. Chia, Ngee-Choon & Wahba, Sadek & Whalley, John, 1994. "Poverty-Reducing Targeting Programmes: A General Equilibrium Approach," Journal of African Economies, Centre for the Study of African Economies (CSAE), vol. 3(2), pages 309-38, October.
  13. Foster, James & Greer, Joel & Thorbecke, Erik, 1984. "A Class of Decomposable Poverty Measures," Econometrica, Econometric Society, vol. 52(3), pages 761-66, May.
  14. Bourguignon, Francois & De Melo, Jaime & Suwa, Akiko, 1991. "Modeling the effects of adjustment programs on income distribution," World Development, Elsevier, vol. 19(11), pages 1527-1544, November.
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Cited by:
  1. Anne Briand, 2008. "Les tarifications au coût marginal versus coût moyen face à des chocs climatiques au Sénégal : un modèle dynamique d’équilibre général calculable appliqué à l’eau," Économie et Prévision, Programme National Persée, vol. 185(4), pages 103-122.
  2. Alia, Didier & Ndjana, Willy & Nghogue, Erith, 2009. "Construction d'un MEGC pour l'évaluation de l'impact de la politique économique au Cameroun sur le secteur informel et la pauvreté
    [Evaluation of the effects of economic policies on informal sec
    ," MPRA Paper 30339, University Library of Munich, Germany.
  3. Go, Delfin S. & Kearney, Marna & Korman, Vijdan & Robinson, Sherman & Thierfelder, Karen, 2009. "Wage subsidy and labor market flexibility in south Africa," Policy Research Working Paper Series 4871, The World Bank.
  4. Nicolas Hérault, 2009. "Sequential Linking of Computable General Equilibrium and Microsimulation Models," Melbourne Institute Working Paper Series wp2009n02, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
  5. Fanny Moffette & Dorothée Boccanfuso & Patrick Richard & Luc Savard, 2013. "Estimating the Impact of the Québec’s Work Incentive Program on Labour Supply: An Ex Post Microsimulation Analysis," Cahiers de recherche 13-01, Departement d'Economique de la Faculte d'administration à l'Universite de Sherbrooke.

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