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Better Policies from Policy-Selective Aid ?

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  • Annen,Kurt
  • Knack,Stephen

Abstract

This paper shows that the increased policy-selectivity of aid allocations observed in recent years provides recipient countries an incentive to improve policies. The paper estimates that a change in the World Banks Country Policy and Institutional Assessment policy index from 1.5 to 2 for a recipient is associated with an increase of about 13 percent in aid. The analysis also finds a modest but statistically significant positive relationship between the share of policy-selective aid in the global aid budget and policy, suggesting that policy-selective aid improves policies. This effect is properly identified, as the share of policy-selective aid in the global aid budget is exogenous to recipient country policy choices. Furthermore, the paper provides a game theoretic model that establishes the link between the policy-selectivity of the global budget and better recipient country policies in equilibrium.

Suggested Citation

  • Annen,Kurt & Knack,Stephen, 2019. "Better Policies from Policy-Selective Aid ?," Policy Research Working Paper Series 8889, The World Bank.
    • Handle: RePEc:wbk:wbrwps:8889
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    Cited by:

    1. Marchal, Léa & Naiditch, Claire & Simsek, Betül, 2021. "Managing Migration Flows Through Foreign Aid," ILE Working Paper Series 46, University of Hamburg, Institute of Law and Economics.
    2. Philip Keefer & Christopher Kilby, 2021. "Introduction to the special issue: In memoriam Stephen Knack," The Review of International Organizations, Springer, vol. 16(3), pages 473-493, July.
    3. Yoojin Lim & Youngwan Kim & Daniel Connolly, 2023. "Assessing the impact of aid on public health expenditure in aid recipient countries," Development Policy Review, Overseas Development Institute, vol. 41(1), January.
    4. Axel Dreher & Jenny Simon & Justin Valasek, 2021. "Optimal decision rules in multilateral aid funds," The Review of International Organizations, Springer, vol. 16(3), pages 689-719, July.
    5. Christopher Kilby, 2020. "Accounting for data uncertainty: Biases in web-scraped Chinese aid data," Villanova School of Business Department of Economics and Statistics Working Paper Series 45, Villanova School of Business Department of Economics and Statistics.

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