The Distributional Effects of IMF Programs: A Cross-Country Analysis
By Gopal Garuda. 2000
173 citations recorded by the source corpus.
Subfields: Development, Information Systems, Safety Research
View Paper: https://www.semanticscholar.org/paper/f9910575db4a803ced131cc6330bf1ab88d6a305
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Citations in the corpus
- Why Do Governments and the imf Enter into Agreements? Statistically Selected Cases (2003, background): “Similarly, Garuda (2000) shows that income inequality (as measured by Gini coefficients) increases for typical countries participating in IMF programs.”
- The Effect of IMF Programs on Labor (2002, background): “According to my data1, the average share of manufacturing earnings going to capital is about 62 percent ( 62.0=k ).”
- IMF conditionality and development policy space, 1985–2014 (2016, background): “…indicators, including employment levels, wages and employment protection policies, have been well-documented (Abouharb and Cingranelli 2007; R. G. Blanton, S. L. Blanton, and Peksen 2015; Garuda 2000; ITUC 2012; 2013; Lloyd and Weissman 2002; Marphatia et al. 2007; Rickard and Caraway 2014).”
- IMF program compliance: Aggregate index versus policy specific research strategies (2006, unknown): “8 See Garuda (2000), Pastor (1987a, b), and Vreeland (2002).”
- The economics of the democratic deficit: The effect of IMF programs on inequality (2016, background): “Supporting previous studies that also find IMF programs to increase income inequality (Pastor 1987; Garuda 2000; Vreeland 2002; Oberdabernig 2013; Forster et al. 2019), it provides new evidence on the underlying mechanisms and shows that the increases in inequality result not only from relative but…”
- The European rescue of the Washington Consensus? EU and IMF lending to Central and Eastern European countries (2014, unknown): “See, for example, Vreeland (2007: ch. 4), Edwards (2006), Garuda (2000), or Brown (2009).”
- THE IMF: A BIRD'S EYE VIEW OF ITS ROLE AND OPERATIONS (2007, unknown): “However, Garuda (2000) finds more nuanced results suggesting that in those countries that are least likely to participate in an IMF programme (as measured by a propensity score), the poor gained more in IMF users as compared to non-users.”
- The International Monetary Fund: A review of the recent evidence (2008, background): “variables Eichengreen et al. 2006 Garuda 2000 Hutchison 2003 Jensen 2004 Nooruddin & Simmons 2006 Pop-Eleches 2007 Sturm et al. 2005 Thacker 1999”