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Bilateral donors' interest vs. recipients' development motives in aid allocation: do all donors behave the same?

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  • Jean-Claude Berthélemy

    (TEAM - Théories et Applications en Microéconomie et Macroéconomie - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique)

Abstract

In this paper, I provide an overall empirical assessment of the motivations of official development assistance granted by rich countries to developing countries, as they are revealed by their aid allocation behaviours. Such behaviours result from a combination of self-interest purposes and of more altruistic development objectives. To perform this analysis, I use a three-dimensional panel dataset, combining the donor, recipient and time dimensions. Such data show a lot of heterogeneity in donor behaviours. Thanks to the width of this dataset, I can properly test differences of parameters among donors. In particular, these tests provide a way to compare the degree of altruism of the different donors.

Suggested Citation

  • Jean-Claude Berthélemy, 2005. "Bilateral donors' interest vs. recipients' development motives in aid allocation: do all donors behave the same?," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00193273, HAL.
  • Handle: RePEc:hal:cesptp:halshs-00193273
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00193273
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    References listed on IDEAS

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    More about this item

    Keywords

    altruism; international aid allocation; distribution internationale de l'aide; altruisme;
    All these keywords.

    JEL classification:

    • F35 - International Economics - - International Finance - - - Foreign Aid
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models

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