IDEAS home Printed from https://ideas.repec.org/p/ehl/lserod/123158.html
   My bibliography  Save this paper

Meeting the millennium development goals in Brazil: can microeconomic simulations help?

Author

Listed:
  • Ferreira, Francisco H. G.
  • Leite, Phillippe George

Abstract

The authors investigate whether micro-simulation techniques can shed light on the types of policies that should be adopted by countries wishing to meet their Millennium Development Goals. They compare two families of micro-simulations. The first family of micro-simulations decomposes required poverty changes into a change in the mean and a reduction in inequality. Although it highlights the importance of inequality reduction, it appears to be too general to be of much use for policymaking. The second family of micro-simulations is based on a richer model of behavior in the labor markets.It points to the importance of combining different policy options, such as educational expansion and targeted conditional redistribution schemes, to ensure that the poorest people in society are successfully reached. But the absence of market equilibria in these statistical models, as well as the strong stability assumptions which are implicit in their use, argue for extreme caution in their interpretation.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Ferreira, Francisco H. G. & Leite, Phillippe George, 2003. "Meeting the millennium development goals in Brazil: can microeconomic simulations help?," LSE Research Online Documents on Economics 123158, London School of Economics and Political Science, LSE Library.
    • Handle: RePEc:ehl:lserod:123158
    as

    Download full text from publisher

    File URL: http://eprints.lse.ac.uk/123158/
    File Function: Open access version.
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bourguignon, François & Bussolo, Maurizio, 2013. "Income Distribution in Computable General Equilibrium Modeling," 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 1383-1437, Elsevier.
    2. Florencia Lopez Boo, 2006. "Changes in poverty and the stability of income distribution in Argentina: evidence from the 1990s via decompositions," Working Papers 33, ECINEQ, Society for the Study of Economic Inequality.
    3. Leonardo Gasparini & Federico Gutiérrez & Leopoldo Tornarolli, 2007. "Growth And Income Poverty In Latin America And The Caribbean: Evidence From Household Surveys," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 53(2), pages 209-245, June.
    4. Christoph Lakner & Daniel Gerszon Mahler & Mario Negre & Espen Beer Prydz, 2022. "How much does reducing inequality matter for global poverty?," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 20(3), pages 559-585, September.
    5. Maurizio Bussolo & Rafael de Hoyos & Denis Medvedev, 2012. "Distributional Effects of the Panama Canal Expansion," Economía Journal, The Latin American and Caribbean Economic Association - LACEA, vol. 0(Fall 2012), pages 79-129, August.
    6. Bussolo, Maurizio & Maliszewska, Maryla & Murard, Elie, 2014. "The long-awaited rise of the middle class in Latin America is finally happening," Policy Research Working Paper Series 6912, The World Bank.
    7. Martin Ravallion, 2013. "How Long Will It Take to Lift One Billion People Out of Poverty?," The World Bank Research Observer, World Bank, vol. 28(2), pages 139-158, August.
    8. Bussolo, Maurizio & De Hoyos, Rafael & Medvedev, Denis, 2008. "Global Income Distribution and Poverty in the Absence of Agricultural Distortions," Conference papers 331764, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    9. Ranaldi, Marco, 2021. "Global Distributions of Capital and Labor Incomes: Capitalization of the Global Middle Class," SocArXiv 3g59r, Center for Open Science.
    10. Paul Segal, 2022. "Inequality Interactions: The Dynamics of Multidimensional Inequalities," Development and Change, International Institute of Social Studies, vol. 53(5), pages 941-961, September.
    11. Ravallion, Martin, 2012. "Benchmarking global poverty reduction," Policy Research Working Paper Series 6205, The World Bank.
    12. Bussolo, Maurizio & De Hoyos, Rafael E. & Medvedev, Denis & van der Mensbrugghe, Dominique, 2007. "Global growth and distribution : are China and India reshaping the world?," Policy Research Working Paper Series 4392, The World Bank.
    13. Tsigas, Marinos & Arce, Hugh M., 2008. "A general equilibrium analysis of effects of undocumented workers in the United States," Conference papers 331768, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    14. Bussolo, Maurizio & De Hoyos, Rafael E. & Medvedev, Denis, 2008. "Is the developing world catching up ? global convergence and national rising dispersion," Policy Research Working Paper Series 4733, The World Bank.
    15. World Bank Group, 2015. "Rwanda Poverty Assessment," World Bank Publications - Reports 22970, The World Bank Group.
    16. Leonardo Gasparini & Javier Alejo & Francisco Haimovich & Sergio Olivieri & Leopoldo Tornarolli, 2010. "Poverty among older people in Latin America and the Caribbean," Journal of International Development, John Wiley & Sons, Ltd., vol. 22(2), pages 176-207.
    17. Felipe Barrera-Osorio & Marcela Meléndez, 2010. "Agricultural Subsidies, Trade Barriers and Poverty: Household Microsimulation for Colombia," Chapters, in: Robert E.B. Lucas & Lyn Squire & T. N. Srinivasan (ed.), Global Exchange and Poverty, chapter 3, Edward Elgar Publishing.
    18. World Bank, 2009. "Argentina : Income Support Policies toward the Bicentennial," World Bank Publications - Books, The World Bank Group, number 13531.
    19. World Bank, 2009. "Argentina : Income Support Policies toward the Bicentennial," World Bank Publications - Books, The World Bank Group, number 13530.

    More about this item

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • D00 - Microeconomics - - General - - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ehl:lserod:123158. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: LSERO Manager (email available below). General contact details of provider: https://edirc.repec.org/data/lsepsuk.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.