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Poverty, Income Distribution and CGE Modeling: Does the Functional Form of Distribution Matter?

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Author Info
Dorothée Boccanfuso
Bernard Decaluwé
Luc Savard

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Abstract

In this paper, we provide an overview of approaches used to model income distribution and poverty in CGE models. CGE models have started to use income distribution functional forms such as the lognormal, Pareto, beta distribution and Kernel non-parametric methods to apply GFT poverty indices. None of the authors of these papers have gone into much detail to justify the use of one method or functional form over the other, within the context of this type of work. Extensive literature exists on the choice of functional forms to estimate income distribution; however it has not been utilized in the CGE context. Given the fact that the desegregation of groups of households can be important in CGE analysis and the fact that the impact on income of policy simulations are often small in CGE models, we investigate the importance of othe choice of the functional form used to estimate the income distribution of groups of households. We compare six functional forms with parametric estimation and on a non-parametric method. Results show that no single form is more appropriate in all cases or groups of households. The characteristics of samples and subgroups play an important role and the choice shoudl be guided by the best fitting distribution.

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Paper provided by CIRPEE in its series Cahiers de recherche with number 0332.

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Date of creation: 2003
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Handle: RePEc:lvl:lacicr:0332

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Related research
Keywords: Computable general equilibrium models; estimation; personal income and wealth distribution; measurement and analysis of poverty;

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Find related papers by JEL classification:
I32 - Health, Education, and Welfare - - Welfare and Poverty - - - Measurement and Analysis of Poverty
D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Estimation
C68 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming - - - Computable General Equilibrium Models

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Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. 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. [Downloadable!] (restricted)
  2. McDonald, James B & Ransom, Michael R, 1979. "Functional Forms, Estimation Techniques and the Distribution of Income," Econometrica, Econometric Society, vol. 47(6), pages 1513-25, November. [Downloadable!] (restricted)
  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.). [Downloadable!]
  4. Morrisson, Christian, 1991. "Adjustment, incomes and poverty in Morocco," World Development, Elsevier, vol. 19(11), pages 1633-1651, November. [Downloadable!] (restricted)
  5. Decaluwe, B. & Patry, A. & Savard, L. & Thorbecke, E., 1999. "Poverty Analysis Within a General Equilibrium Framework," Papers 9909, Laval - Recherche en Politique Economique.
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  6. John Cockburn, 2004. "Trade Liberalisation and Poverty in Nepal A Computable General Equilibrium Micro Simulation Analysis," Development and Comp Systems 0409012, EconWPA. [Downloadable!]
  7. Majumder, Amita & Chakravarty, Satya Ranjan, 1990. "Distribution of Personal Income: Development of a New Model and Its Application to U.S. Income Data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 5(2), pages 189-96, April-Jun. [Downloadable!] (restricted)
  8. McDonald, James B & Mantrala, Anand, 1995. "The Distribution of Personal Income: Revisited," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 10(2), pages 201-04, April-Jun. [Downloadable!] (restricted)
  9. Chia, Ngee-Choon & Wahba, Sadek & Whalley, John, 1994. "Poverty-Reducing Targeting Programmes: A General Equilibrium Approach," Journal of African Economies, Oxford University Press, vol. 3(2), pages 309-38, October.
  10. 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. [Downloadable!] (restricted)
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  11. Singh, S K & Maddala, G S, 1976. "A Function for Size Distribution of Incomes," Econometrica, Econometric Society, vol. 44(5), pages 963-70, September. [Downloadable!] (restricted)
  12. McDonald, James B, 1984. "Some Generalized Functions for the Size Distribution of Income," Econometrica, Econometric Society, vol. 52(3), pages 647-63, May. [Downloadable!] (restricted)
  13. Sahota, Gian Singh, 1978. "Theories of Personal Income Distribution: A Survey," Journal of Economic Literature, American Economic Association, vol. 16(1), pages 1-55, March. [Downloadable!] (restricted)
  14. Thorbecke, Erik, 1991. "Adjustment, growth and income distribution in Indonesia," World Development, Elsevier, vol. 19(11), pages 1595-1614, November. [Downloadable!] (restricted)
  15. Foster, James & Greer, Joel & Thorbecke, Erik, 1984. "A Class of Decomposable Poverty Measures," Econometrica, Econometric Society, vol. 52(3), pages 761-66, May. [Downloadable!] (restricted)
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Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Pierre-Richard Agénor & Derek Chen & Michael Grimm, 2004. "Linking Representative Household Models with Household Surveys for Poverty Analysis A Comparison of Alternative Methodologies," Development and Comp Systems 0405006, EconWPA. [Downloadable!]
    Other versions:
  2. Dorothée BOCCANFUSO & Tambi Samuel KABORE, 2004. "Macroeconomic Growth, Sectoral Quality Of Growth And Poverty In Developing Countries: Measure And Application To Burkina Faso," Cahiers de recherche 04-07, Departement d'Economique de la Faculte d'administration à l'Universite de Sherbrooke. [Downloadable!]
  3. Dorothée Boccanfuso & Luc Savard, 2005. "Analyse d’Impact de la Construction de l’Autoroute Dakar-Thies : un Modèle Equilibre Géneral Calculable Multi-Ménages Intégrés," Cahiers de recherche 05-11, Departement d'Economique de la Faculte d'administration à l'Universite de Sherbrooke. [Downloadable!]
  4. Dorothée Boccanfuso & François Joseph Cabral & Luc Savard, 2004. "Une analyse préliminaire d'impacts de la libéralisation de la filière arachide au Sénégal: un modèle d'équilibre général calculable multi-ménages," Cahiers de recherche 0406, CIRPEE. [Downloadable!]
  5. Dorothée Boccanfuso & Rodolphe Missinhoun & Luc Savard, 2007. "Reformes Economiques Et Croissance Pro-Pauvre : Une Application Macro-Micro Aux Philippines," Cahiers de recherche 07-17, Departement d'Economique de la Faculte d'administration à l'Universite de Sherbrooke. [Downloadable!]
  6. Luc Savard, 2004. "Poverty and Inequality Analysis within a CGE Framework: a Comparative Analysis of the Representative Agent and Micro-Simulation Approaches," Cahiers de recherche 0412, CIRPEE. [Downloadable!]
    Other versions:
  7. Nabil Annabi & H. Khondker Bazlul & Selim Raihan & John Cockburn & Bernard Decaluwe, 2005. "Implications of WTO Agreements and Domestic Trade Policy Reforms for Poverty in Bangladesh: Short vs. Long Run," Cahiers de recherche MPIA 2005-02, PEP-MPIA. [Downloadable!]
  8. 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. [Downloadable!]
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