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Adverse selection and growth under IMF programs

  • Muhammet A. Bas
  • Randall W. Stone
Article

Abstract

The dominant approach to studying the effects of IMF programs has emphasized moral hazard, but we find that adverse selection has more impressive effects. We propose a novel strategic selection model to study the growth effects of IMF programs, which allows for the possibility of adverse selection. We find that adverse selection occurs: the countries that are most interested in participating in IMF programs are the least likely to have favorable growth outcomes. Controlling for this selection effect, we find that countries benefit from IMF programs on average in terms of higher growth rates, but that some countries benefit from participation, while others are harmed. Moral hazard predicts that long-term users of Fund resources benefit least from participating in programs, while adverse selection predicts the opposite. Contrary to previous findings, we find that IMF programs have more successful growth performance among long-term users than among short-term users.

Keywords

IMF Growth Strategic statistical models 

JEL Classifications

C3 F3 Q4 

Supplementary material

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11558_2013_9173_MOESM2_ESM.do (19 kb)
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References

  1. Aggarwal, V. K. (1996). Debt games: strategic interaction in international debt rescheduling. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
  2. Akerlof, G. A. (1970). The market for lemons. Quarterly Journal of Economics, 84(3), 488–500.CrossRefGoogle Scholar
  3. Atoian, R., & Patrick, C. (2006). Evaluating the impact of IMF programs: a comparison of matching and instrumental-variable estimators. Review of International Organizations, 1, 99–124.CrossRefGoogle Scholar
  4. Bauer, M. E., Cruz, C., Graham, A. T. (2012). Democracies only: when do IMF agreements serve as a seal of approval? Review of International Organizations, 7, 33–58.CrossRefGoogle Scholar
  5. Bird, G., & Rowlands, D. (2002). Do IMF programmes have a catalytic effect on other international capital flows? Oxford Development Studies, 30, 229–49.CrossRefGoogle Scholar
  6. Bird, G., Hussain, M., Joyce, J. P. (2004). Many happy returns? Recidivism and the IMF. Journal of International Money and Finance, 23, 231–51.CrossRefGoogle Scholar
  7. Blustein, P. (2001). The chastening: inside the crisis that rocked the global financial system and humbled the IMF. New York: Public Affairs.Google Scholar
  8. Cameron, C., & Trivedi, P. (2005). Microeconometrics: methods and applications. New York: Cambridge University Press.CrossRefGoogle Scholar
  9. Cooper, R. (1971). Currency devaluations in developing countries. Princeton: Princeton University Press.Google Scholar
  10. Copelovitch, M. S. (2010). Banks, bonds, and bailouts: the International Monetary Fund in the global economy.Google Scholar
  11. Eichengreen, B., Gupta, P., Mody, A. (2006). Sudden stops and IMF-supported programs. Cambridge: NBER Working Paper.CrossRefGoogle Scholar
  12. Frankel, J. (2005). Contractionary currency crashes in developing countries. NBER Working Paper No. W11508.Google Scholar
  13. Goldstein, M. (1998). The asian financial crisis: causes, cures and systemic implications. Institute for International Economics.Google Scholar
  14. Goldstein, M., & Montiel, P. (1986). Evaluating fund stabilization programs with multi-country data: some methodological pitfalls. IMF Staff Papers, 33, 304–44.CrossRefGoogle Scholar
  15. Gould, E. (2006). Money talks: the International Monetary Fund, conditionality, and supplementary financiers. Stanford: Stanford University Press.Google Scholar
  16. Greene, W. H. (2003). Econometric analysis. Upper Saddle River: Prentice Hall.Google Scholar
  17. Heckman, J. (1979). Sample selection bias as a specification error. Econometrica, 47, 153–62.CrossRefGoogle Scholar
  18. Hills, C. A., Peterson, P. G., Goldstein, M. (1999). Safeguarding prosperity in a global financial system: the future international financial architecture. Washington, D.C.: Council on Foreign Relations and Institute for International Economics.Google Scholar
  19. Independent Evaluation Office, & International Monetary Fund (IEO) (2002). Evaluation of Prolonged use of IMF resources. Washington, D.C.: International Monetary Fund.Google Scholar
  20. Ivanova, A., Mayer, W., Mourmouras, A., Anayiotos, G. (2003). What determines the implementation of IMF-supported programs? IMF Working Papers 03/8.Google Scholar
  21. Jensen, N. (2004). Crisis, conditions, and capital: the effect of International Monetary Fund agreements on foreign direct investment inflows. Journal of Conflict Resolution, 48, 194–210.CrossRefGoogle Scholar
  22. Leblang, D. (2005). Pegs and politics. Working Paper.Google Scholar
  23. Lipson, C. (1985). Bankers’ dilemmas: private cooperation in rescheduling sovereign debts. World Politics, 38, 200–225.CrossRefGoogle Scholar
  24. Maddala, G. S. (1983). Limited dependent and qualitative variables in econometrics. New York: Cambridge University Press.CrossRefGoogle Scholar
  25. Meltzer, A. H. (2000). Final report. International financial institution advisory commission (IFIAC or Meltzer Commission). http://www.house.gov/jec/imf/meltzer.pdf.
  26. Mody, A., & Saravia, D. (2006). Catalysing private capital flows: do IMF programmes work as commitment devices? The Economic Journal, 116, 843–67.CrossRefGoogle Scholar
  27. Moser, C., & Sturm, J.-E. (2011). Explaining IMF lending decisions after the cold war. Review of International Organizations, 6, 307–40.CrossRefGoogle Scholar
  28. Pop-Eleches, G. (2009). From economic crisis to reform: IMF programs in Latin America and Eastern Europe. Princeton: Princeton University Press.Google Scholar
  29. Przeworski, A., & Vreeland, J. R. (2000). The effect of IMF programs on economic growth. The Journal of Development Economics, 62, 385–421.CrossRefGoogle Scholar
  30. Signorino, C. S. (1999). Strategic interaction and the statistical analysis of international conflict. American Political Science Review, 93(2), 279–97.CrossRefGoogle Scholar
  31. Signorino, C. S., & Yilmaz, K. (2003). Strategic misspecification in regression models. American Journal of Political Science, 47(3), 551–66.CrossRefGoogle Scholar
  32. Steinwand, M., & Stone, R.W. (2008). The International Monetary Fund: a review of the recent evidence. Review of International Organizations, 3, 123–49.CrossRefGoogle Scholar
  33. Stiglitz, J. E. (2002). Globalization and its discontents. New York: Norton.Google Scholar
  34. Stone, R. W. (2002). Lending credibility: the International Monetary Fund and the post-communist transition. Princeton: Princeton University Press.Google Scholar
  35. Stone, R. W. (2008). The scope of IMF conditionality. International Organization, 62, 589–620.CrossRefGoogle Scholar
  36. Stone, R. W. (2011). Controlling institutions: international organizations and the global economy. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
  37. Sturm, J.-E., Berger, H., de Haan, J. (2005). Which variables explain decisions on IMF credit? An extreme bounds analysis. Economics and Politics, 17, 177–213.CrossRefGoogle Scholar
  38. Vreeland, J. R. (2003). The IMF and economic development. New York: Cambridge University Press.CrossRefGoogle Scholar
  39. Vreeland, J. R. (2006). IMF program compliance: aggregate index versus policy specific research strategies. Review of International Organizations, 1, 359–78.CrossRefGoogle Scholar
  40. Woods, N. (2006). The Globalizers: the IMF, the World Bank, and their borrowers. Cornell University Press.Google Scholar

Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  1. 1.Department of GovernmentHarvard UniversityCambridgeUSA
  2. 2.Department of Political ScienceUniversity of RochesterRochesterUSA

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