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Evaluating the impact of IMF programs: A comparison of matching and instrumental-variable estimators

Author

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  • Ruben Atoyan

    ()

  • Patrick Conway

    ()

Abstract

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Suggested Citation

  • Ruben Atoyan & Patrick Conway, 2006. "Evaluating the impact of IMF programs: A comparison of matching and instrumental-variable estimators," The Review of International Organizations, Springer, vol. 1(2), pages 99-124, June.
  • Handle: RePEc:spr:revint:v:1:y:2006:i:2:p:99-124
    DOI: 10.1007/s11558-006-6612-2
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    References listed on IDEAS

    as
    1. Diego Saravia & Ashoka Mody, 2003. "Catalyzing Capital Flows; Do IMF-Supported Programs Work As Commitment Devices?," IMF Working Papers 03/100, International Monetary Fund.
    2. Vreeland,James Raymond, 2003. "The IMF and Economic Development," Cambridge Books, Cambridge University Press, number 9780521016957.
    3. Axel Dreher, 2005. "Does the IMF Influence Fiscal and Monetary Policy?," Journal of Economic Policy Reform, Taylor & Francis Journals, vol. 8(3), pages 225-238.
    4. James Heckman & Salvador Navarro-Lozano, 2004. "Using Matching, Instrumental Variables, and Control Functions to Estimate Economic Choice Models," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 30-57, February.
    5. Jochen Kluve & Boris Augurzky, 2007. "Assessing the performance of matching algorithms when selection into treatment is strong," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(3), pages 533-557.
    6. Conway, Patrick, 1994. "IMF lending programs: Participation and impact," Journal of Development Economics, Elsevier, vol. 45(2), pages 365-391, December.
    7. Garuda, Gopal, 2000. "The Distributional Effects of IMF Programs: A Cross-Country Analysis," World Development, Elsevier, vol. 28(6), pages 1031-1051, June.
    8. Joshua D. Angrist, 2004. "Treatment effect heterogeneity in theory and practice," Economic Journal, Royal Economic Society, vol. 114(494), pages 52-83, March.
    9. International Monetary Fund, 1998. "Do IMF-Supported Programs Work? A Survey of the Cross-Country Empirical Evidence," IMF Working Papers 98/169, International Monetary Fund.
    10. Przeworski, Adam & Vreeland, James Raymond, 2000. "The effect of IMF programs on economic growth," Journal of Development Economics, Elsevier, vol. 62(2), pages 385-421, August.
    11. Dicks-Mireaux, Louis & Mecagni, Mauro & Schadler, Susan, 2000. "Evaluating the effect of IMF lending to low-income countries," Journal of Development Economics, Elsevier, vol. 61(2), pages 495-526, April.
    12. Greene, William H, 1981. "Sample Selection Bias as a Specification Error: Comment," Econometrica, Econometric Society, vol. 49(3), pages 795-798, May.
    13. Imbens, Guido W & Angrist, Joshua D, 1994. "Identification and Estimation of Local Average Treatment Effects," Econometrica, Econometric Society, vol. 62(2), pages 467-475, March.
    14. Morris Goldstein & Peter Montiel, 1986. "Evaluating Fund Stabilization Programs with Multicountry Data: Some Methodological Pitfalls (Evaluation des programmes de stabilisation du Fonds à partir de données sur divers pays: quelques écueils," IMF Staff Papers, Palgrave Macmillan, vol. 33(2), pages 304-344, June.
    15. Mohsin S. Khan, 1990. "The Macroeconomic Effects of Fund-Supported Adjustment Programs," IMF Staff Papers, Palgrave Macmillan, vol. 37(2), pages 195-231, June.
    16. Augurzky, Boris & Kluve, Jochen, 2004. "Assessing the performance of matching algorithms when selection into treatment is strong," RWI Discussion Papers 21, RWI - Leibniz-Institut für Wirtschaftsforschung.
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    More about this item

    Keywords

    IMF programs; program evaluation; sample selection bias;

    JEL classification:

    • F33 - International Economics - - International Finance - - - International Monetary Arrangements and Institutions
    • F34 - International Economics - - International Finance - - - International Lending and Debt Problems
    • C34 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Truncated and Censored Models; Switching Regression Models

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