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Aid and the Resource Curse : How Can Aid Be Designed to Preserve Institutions?

Author

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  • Tim Harford
  • Michael Klein

Abstract

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Suggested Citation

  • Tim Harford & Michael Klein, 2005. "Aid and the Resource Curse : How Can Aid Be Designed to Preserve Institutions?," World Bank Publications - Reports 11223, The World Bank Group.
  • Handle: RePEc:wbk:wboper:11223
    as

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    File URL: https://openknowledge.worldbank.org/bitstream/handle/10986/11223/328400PAPER0vp291Harford1Klein.pdf?sequence=1
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    References listed on IDEAS

    as
    1. World Bank, 2000. "Can Africa Claim the 21st Century?," World Bank Publications - Books, The World Bank Group, number 22962, December.
    2. Jonathan Isham & Michael Woolcock & Lant Pritchett & Gwen Busby, 2003. "The Varieties of Resource Experience: How Natural Resource Export Structures Affect the Political Economy of Economic Growth," Middlebury College Working Paper Series 0308, Middlebury College, Department of Economics.
    3. Knack, Stephen, 2000. "Aid dependence and the quality of governance : a cross-country empirical analysis," Policy Research Working Paper Series 2396, The World Bank.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Dosso, David, 2023. "Institutional Quality and Financial Development in Resource-Rich Countries: A Nonlinear Panel Data Approach," International Economics, Elsevier, vol. 174(C), pages 113-137.
    2. Abdul HANNAN* & Hasan M. MOHSIN**, 2015. "Regional Analysis of Resource Curse Hypothesis: Evidence from Panel Data," Pakistan Journal of Applied Economics, Applied Economics Research Centre, vol. 25(1), pages 45-66.
    3. Anja Shortland & Katerina Christopoulou & Charalampos Makatsoris, 2013. "War and famine, peace and light? The economic dynamics of conflict in Somalia 1993–2009," Journal of Peace Research, Peace Research Institute Oslo, vol. 50(5), pages 545-561, September.
    4. Tsani, Stella, 2015. "On the relationship between resource funds, governance and institutions: Evidence from quantile regression analysis," Resources Policy, Elsevier, vol. 44(C), pages 94-111.

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