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Linking Representative Household Models with Household Surveys for Poverty Analysis: A Comparison of Alternative Methodologies

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  • Pierre-Richard AGÉNOR
  • Derek H. C. CHEN
  • Michael GRIMM
Abstract
The authors compare three approaches to linking representative-household macro models with micro household income data in terms of their implications for measuring the poverty and distributional effects of policy shocks. These approaches are a simple micro-accounting method, an extension of that method to account for changes in employment structure, and the Beta distribution approach. Even though in the authors simulation exercises the three methods do not lead to fundamentally different results in absolute terms, they show that potential differences in the measurement of distributional and poverty effects of policy shocks can be very large.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Pierre-Richard AGÉNOR & Derek H. C. CHEN & Michael GRIMM, 2010. "Linking Representative Household Models with Household Surveys for Poverty Analysis: A Comparison of Alternative Methodologies," EcoMod2004 330600002, EcoMod.
    • Handle: RePEc:ekd:003306:330600002
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    References listed on IDEAS

    as
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    14. AGENOR Pierre-Richard & IZQUIERDO Alejandro & FOFACK Hippolyte, 2010. "IMMPA: A Quantitative Macroeconomic Framework for the Analysis of Poverty Reduction Strategies," EcoMod2003 330700003, EcoMod.
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    Cited by:

    1. Behrman, Jere R., 2009. "Analyzing the Distributional Impact of Reforms, Volume Two: A Practitioner's Guide to Pension, Health, Labor Market, Public Sector Downsizing, Taxation, Decentralization, and Macroeconomic Modeling. A," Journal of Pension Economics and Finance, Cambridge University Press, vol. 8(3), pages 396-397, July.
    2. Thurlow, James & Wobst, Peter, 2004. "The road to pro-poor growth in Zambia: past lessons and future challenges," DSGD discussion papers 16, International Food Policy Research Institute (IFPRI).
    3. Rodriguez, U-Primo E., 2007. "State-of-the-Art in Regional Computable General Equilibrium Modelling with a Case Study of the Philippines," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 20(1).
    4. Agénor, Pierre-Richard & Bayraktar, Nihal & El Aynaoui, Karim, 2008. "Roads out of poverty? Assessing the links between aid, public investment, growth, and poverty reduction," Journal of Development Economics, Elsevier, vol. 86(2), pages 277-295, June.
    5. Nicolas Hérault, 2009. "Les apports de la micro-simulation aux modèles d’équilibre général : application au cas de l’Afrique du Sud," Économie et Prévision, Programme National Persée, vol. 187(1), pages 123-135.
    6. Estrades, Carmen, 2012. "Is MERCOSUR’s External Agenda Pro-Poor?: An assessment of the European Union-MERCOSUR free-trade agreement on poverty in Uruguay applying MIRAGE," IFPRI discussion papers 1219, International Food Policy Research Institute (IFPRI).
    7. Sami Bibi & Rim Chatti, 2006. "Trade Liberalization and the Dynamics of Poverty in Tunisia: a Layered CGE Microsimulation Analysis/Libéralisation des échanges et dynamique de la pauvreté en Tunisie: Analyse avec une micro-simulatio," Working Papers MPIA 2006-07, PEP-MPIA.
    8. Pierre-Richard Agénor, 2005. "Unemployment-Poverty Tradeoffs," Central Banking, Analysis, and Economic Policies Book Series, in: Jorge Restrepo & Andrea Tokman R. & Norman Loayza (Series Editor) & Klaus Schmidt-Hebbel (Series Edi (ed.),Labor Markets and Institutions, edition 1, volume 8, chapter 5, pages 115-165, Central Bank of Chile.
    9. Pinto Moreira, Emmanuel & Bayraktar, Nihal, 2005. "A macroeconomic framework for quantifying growth and poverty reduction strategies in Niger," Policy Research Working Paper Series 3506, The World Bank.
    10. 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.
    11. Aline Coudouel & Stefano Paternostro, 2006. "Analyzing the Distributional Impact of Reforms : A Practitioner’s Guide to Pension, Health, Labor Markets, Public Sector Downsizing, Taxation, Decentralization, and Macroeconomic Modeling, Volume 2," World Bank Publications - Books, The World Bank Group, number 7041.
    12. Pierre‐Richard Agénor, 2005. "The Macroeconomics Of Poverty Reduction," Manchester School, University of Manchester, vol. 73(4), pages 369-434, July.
    13. Ravigné, Emilien & Ghersi, Frédéric & Nadaud, Franck, 2022. "Is a fair energy transition possible? Evidence from the French low-carbon strategy," Ecological Economics, Elsevier, vol. 196(C).
    14. Essama-Nssah, B., 2005. "The poverty and distributional impact of macroeconomic shocks and policies : a review of modeling approaches," Policy Research Working Paper Series 3682, The World Bank.
    15. Lofgren, Hans & Cicowiez, Martin & Diaz-Bonilla, Carolina, 2013. "MAMS – A Computable General Equilibrium Model for Developing Country Strategy Analysis," 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 159-276, Elsevier.

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