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The Real Bottom Line: Benchmarking Performance in Poverty Reduction in Latin America and the Caribbean

Author

Listed:
  • Newman, John L.
  • Azevedo, João Pedro
  • Saavedra, Jaime
  • Molina, Ezequiel

Abstract

This paper makes two contributions. First, it carries out an extensive analysis of episodes of poverty changes and documents the empirical distribution of poverty changes. This is useful for providing some context for assessing whether observed changes in poverty that a country may achieve are good, bad or indifferent and for guiding goals that might be set for poverty reduction. Second, the paper proposes and illustrates an approach to take account of country observable characteristics in assessing what constitutes good and poor performance for a specific country. The approach consists of comparing a country’s actual performance to counterfactual distributions generated using quantile regressions. The paper considers four cases where the type of benchmarking approach being proposed helps facilitate a policy dialogue.

Suggested Citation

  • Newman, John L. & Azevedo, João Pedro & Saavedra, Jaime & Molina, Ezequiel, 2008. "The Real Bottom Line: Benchmarking Performance in Poverty Reduction in Latin America and the Caribbean," MPRA Paper 85585, University Library of Munich, Germany, revised Apr 2010.
  • Handle: RePEc:pra:mprapa:85585
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    File URL: https://mpra.ub.uni-muenchen.de/85585/1/MPRA_paper_85585.pdf
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    References listed on IDEAS

    as
    1. Chen, Shaohua & Ravallion, Martin, 2008. "China is poorer than we thought, but no less successful in the fight against poverty," Policy Research Working Paper Series 4621, The World Bank.
    2. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    3. Ravallion, Martin, 1995. "Growth and poverty: Evidence for developing countries in the 1980s," Economics Letters, Elsevier, vol. 48(3-4), pages 411-417, June.
    4. Adams, Richard Jr., 2004. "Economic Growth, Inequality and Poverty: Estimating the Growth Elasticity of Poverty," World Development, Elsevier, vol. 32(12), pages 1989-2014, December.
    5. Robert Ackland & Steve Dowrick & Benoit Freyens, 2013. "Measuring Global Poverty: Why PPP Methods Matter," The Review of Economics and Statistics, MIT Press, vol. 95(3), pages 813-824, July.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. João Pedro Azevedo & John L. Newman & Juliana Pungiluppi, 2010. "Benchmarking : A Tool to improve the Effectiveness of Monitoring and Evaluation in the Policy Cycle," World Bank Publications - Reports 10205, The World Bank Group.
    2. Ravallion, Martin, 2012. "Benchmarking global poverty reduction," Policy Research Working Paper Series 6205, The World Bank.
    3. Giménez, Lea & Jolliffe , Dean & Sharif, Iffath, 2014. "Bangladesh, a Middle Income Country by 2021: What Will It Take in terms of Poverty Reduction?," Bangladesh Development Studies, Bangladesh Institute of Development Studies (BIDS), vol. 37(1-2), pages 1-19, March-Jun.
    4. 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.
    5. World Bank, 2013. "Bangladesh - Poverty Assessment : Assessing a Decade of Progress in Reducing Poverty, 2000-2010," World Bank Publications - Reports 16622, The World Bank Group.

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    More about this item

    Keywords

    Poverty Reduction; Benchmarking; Millennium Development Goals; Economic Growth; Quantile Regression; Latin America and the Caribbean;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty
    • H8 - Public Economics - - Miscellaneous Issues
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty

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