2009
DOI: 10.1016/j.jdeveco.2008.07.005
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Geopolitics and international organizations: An empirical study on IMF facilities

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Cited by 44 publications
(37 citation statements)
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“…This is evidenced by countries receiving favorable treatment from the Fund if they are politically close to the United States, geopolitically important, members of the United Nations Security Council (UNSC), or cast votes in line with the Fund's major shareholders in the United Nations General Assembly (UNGA) and in the UNSC (Dreher and Jensen 2007;Reynaud and Vauday 2009;Stone 2008;Thacker 1999;Vreeland and Dreher 2014). Countries that are indebted to U.S. commercial banks also receive benefits (Broz and Hawes 2006;Copelovitch 2010;Gould 2003).…”
Section: Hypothesesmentioning
confidence: 99%
“…This is evidenced by countries receiving favorable treatment from the Fund if they are politically close to the United States, geopolitically important, members of the United Nations Security Council (UNSC), or cast votes in line with the Fund's major shareholders in the United Nations General Assembly (UNGA) and in the UNSC (Dreher and Jensen 2007;Reynaud and Vauday 2009;Stone 2008;Thacker 1999;Vreeland and Dreher 2014). Countries that are indebted to U.S. commercial banks also receive benefits (Broz and Hawes 2006;Copelovitch 2010;Gould 2003).…”
Section: Hypothesesmentioning
confidence: 99%
“…While extensive literature exists on the determinants of aid allocation by the traditional Western (DAC) donors (Alesina & Dollar, 2000;Alesina & Weder, 2002;Dreher, Sturm, & Vreeland, 2009;Fleck & Kilby, 2006, 2010Kuziemko & Werker, 2006;Neumayer, 2003aNeumayer, , 2005Reynaud & Vauday, 2009), studies that have empirically examined the determinants of aid allocation by emerging donors is surprisingly sparse. With the arrival of better availability of foreign data for emerging donors, some scholars have recently started to analyse the aid allocation of non-DAC donors using quantitative estimation methods.…”
Section: Rise Of Development Finance From Non-dac Donorsmentioning
confidence: 99%
“…But while the literature has suggested various political factors that may influence the decision-making process on IMF loans, there is little agreement on which political variables to include. For instance Dreher et al (2009) and Reynaud and Vauday (2009) From our literature research we conclude that one political variable stands out of the numerous political variables tested in recent studies in terms of frequency used and its explanatory power. Therefore, we include this variable in each of our models and consider an additional 14 political variables in our robustness analysis.…”
mentioning
confidence: 70%