The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
The effect of IMF programs on economic growth
Open accessAbstract
Using a bivariate, dynamic version of the Heckman selection model, we estimate the effect of participation in International Monetary Fund (IMF) programs on economic growth. We find evidence that governments enter into agreements with the IMF under the pressures of a foreign reserves crisis but they also bring in the Fund to shield themselves from the political costs of adjustment policies. Program participation lowers growth rates for as long as countries remain under a program. Once countries leave the program, they grow faster than if they had remained, but not faster than they would have without participation.
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Cites
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Cited by
The IMF and Economic Development
Vreeland, J. R. (2003) · Cambridge University Press eBooks · doi:10.1017/cbo9780511615726 · Cited by 609
Self-citationGlobal horse trading: IMF loans for votes in the United Nations Security Council
Dreher, A., Sturm, J.-E., & Vreeland, J. R. (2009) · European Economic Review · doi:10.1016/j.euroecorev.2009.03.002 · Cited by 441
Self-citationWhy Should I Believe You? The Costs and Consequences of Bilateral Investment Treaties
Kerner, A. (2009) · International Studies Quarterly · doi:10.1111/j.1468-2478.2008.01524.x · Cited by 268
Stubbs, T., Kentikelenis, A., Stuckler, D., McKee, M., & King, L. (2017) · Social Science & Medicine · doi:10.1016/j.socscimed.2016.12.016 · Cited by 198
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Metadata
- Authors
- Przeworski, A., & Vreeland, J. R.
- Venue
- Journal of Development Economics
- Publisher
- Elsevier BV
- Published
- 2000-08
- Volume
- 62
- Issue
- 2
- Pages
- 385-421
- ISSN
- 0304-3878 (ISSN-L)
- OpenAlex
- W2131449086
- Cited by
- 601
- References
- 22
- FWCI
- 79.07
- Type
- journal article
- Language
- en
- Open access
- hybrid
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
