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What We Miss By Missing Data: Aid Effectiveness Revisited

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  • Breitwieser, Anja
  • Wick, Katharina

Abstract

Missing data is an issue in many empirical applications, as it may entail efficiency losses as well as biased results. We address these problems within the literature that investigates the effect of foreign aid on welfare. Using multiple imputation techniques to account for the missing data, we find lower aid effectiveness. In addition, imputation allows for comparison of different welfare indicators within the same framework. We find that the respective indicator choice can matter for the ensuing results.

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  • Breitwieser, Anja & Wick, Katharina, 2016. "What We Miss By Missing Data: Aid Effectiveness Revisited," World Development, Elsevier, vol. 78(C), pages 554-571.
    • Handle: RePEc:eee:wdevel:v:78:y:2016:i:c:p:554-571
    DOI: 10.1016/j.worlddev.2015.10.006
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    3. Shaomeng Jia & Claudia R. Williamson, 2019. "Aid, Policies, And Growth: Why So Much Confusion?," Contemporary Economic Policy, Western Economic Association International, vol. 37(4), pages 577-599, October.
    4. Marko Gregl Klavdij Logožar, 2017. "The Impact of Development Aid on the International Migrations in the African, Caribbean, and Pacific Group of States," Zagreb International Review of Economics and Business, Faculty of Economics and Business, University of Zagreb, vol. 20(1), pages 101-112, May.
    5. Dreher, Axel & Eichenauer, Vera & Gehring, Kai, 2014. "Geopolitics, Aid and Growth," Working Papers 0575, University of Heidelberg, Department of Economics.
    6. Maame Esi Woode & Duncan Mortimer & Rohan Sweeney, 2021. "The impact of health sector‐wide approaches on aid effectiveness and infant mortality," Journal of International Development, John Wiley & Sons, Ltd., vol. 33(5), pages 826-844, July.
    7. Dutta, Nabamita & Williamson, Claudia R., 2016. "Aiding economic freedom: Exploring the role of political institutions," European Journal of Political Economy, Elsevier, vol. 45(S), pages 24-38.

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