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

Author

Listed:
  • Pierre-Richard Agénor

    (Yale University)

  • Derek Chen

    (World Bank, Washington D.C.)

  • Michael Grimm

    (University of Göttingen)

Abstract

We compare three approaches to linking macro models with representative households and micro household income data in terms of their implications for measuring the poverty and distributional effects of poverty reduction strategies. 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 our simulation exercises the three methods do not lead to fundamentally different results in absolute terms, we show that potential differences in the measurement of distributional and poverty effects of policy shocks can be very large.

Suggested Citation

  • 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, University Library of Munich, Germany.
  • Handle: RePEc:wpa:wuwpdc:0405006
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    References listed on IDEAS

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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. 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).
    2. 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).
    3. 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).
    4. 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.
    5. 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.
    6. 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.
    7. 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, December.
    8. 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).
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. Pierre‐Richard Agénor, 2005. "The Macroeconomics Of Poverty Reduction," Manchester School, University of Manchester, vol. 73(4), pages 369-434, July.

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    More about this item

    Keywords

    Applied General Equilibrium Models; Poverty; Income Distribution; Policy Evaluation;
    All these keywords.

    JEL classification:

    • O - Economic Development, Innovation, Technological Change, and Growth
    • P - Political Economy and Comparative Economic Systems

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