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Measuring Poverty and Inequality in a Computable General Equilibrium Model

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Author Info
Decaluwé, Bernard
Dumont, Jean-Christophe
Savard, Luc

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Abstract

This paper aims to evaluate the relevance of different types of macroeconomic general equilibrium modelling for measuring the impact of economic policy shocks on the incidence of poverty and on the distribution of income. In the literature three approaches are identified. The first is based on a traditional form of the CGEM which specifies a large number of households. In this case, we can only observe inter group income inequalities. The next uses survey data to estimate the distribution function and average variations by group, which allows one to estimate the evolution of poverty. The third approach, which we present in detail, includes individual data directly in the general equilibrium model according to the principles of micro simulations. This treatment provides a more reliable picture of income distribution but is also more complex. Given this, we develop, within a co-ordinated statistical framework representing an archetypal economy, the three types of model described above. More precisely, this exercise allows us to break down the contribution of average income variations, of the poverty line, and of income distribution in the evolution of the main poverty indicators. The results obtained show the importance of intra group information and therefore the relevance of micro simulation exercises.

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Paper provided by Université Laval - Département d'économique in its series Cahiers de recherche with number 9926.

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Date of creation: 2000
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Handle: RePEc:lvl:laeccr:9926

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Related research
Keywords: General Equilibrium Models; Micro Simulation; Poverty; Inequality;

Find related papers by JEL classification:
D58 - Microeconomics - - General Equilibrium and Disequilibrium - - - Computable and Other Applied General Equilibrium Models
I32 - Health, Education, and Welfare - - Welfare and Poverty - - - Measurement and Analysis of Poverty
D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution

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  1. John Cockburn, 2004. "Trade Liberalisation and Poverty in Nepal A Computable General Equilibrium Micro Simulation Analysis," Development and Comp Systems 0409012, EconWPA. [Downloadable!]
  2. 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:
  3. Essama-Nssah, B., 2005. "Simulating the poverty impact of macroeconomic shocks and policies," Policy Research Working Paper Series 3788, The World Bank. [Downloadable!]
  4. Nicolas Hérault, 2005. "A Micro-Macro Model for South Africa: Building and Linking a Microsimulation Model to a CGE Model," Melbourne Institute Working Paper Series wp2005n16, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne. [Downloadable!]
  5. Margaret Chitiga & Tonia Kandiero & Ramos Mabugu, 2005. "Computable General Equilibrium Micro-Simulation Analysis of the Impact of Trade Policies on Poverty in Zimbabwe," Cahiers de recherche MPIA 2005-01, PEP-MPIA. [Downloadable!]
    Other versions:
  6. Caesar B. Cororaton & John Cockburn, 2005. "Trade Reform and Poverty in the Philippines: a Computable General Equilibrium Microsimulation Analysis," Cahiers de recherche 0513, CIRPEE. [Downloadable!]
  7. 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. [Downloadable!]
  8. Nabil Annabi & Fatou Cissé & John Cockburn & Bernard Decaluwé, 2005. "Trade Liberalisation, Growth and Poverty in Senegal: a Dynamic Microsimulation CGE Model Analysis," Cahiers de recherche 0512, CIRPEE. [Downloadable!]
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