IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this article

Evaluating the effect of de facto pegs on currency crises

  • Esaka, Taro
Registered author(s):

    This paper empirically evaluates the treatment effect of de facto pegged regimes on the occurrence of currency crises. To estimate the treatment effect of pegged regimes properly, we must carefully control for the self-selection problem of regime adoption because a country's exchange rate regime choice is nonrandom. To address the self-selection problem, we thus employ a variety of matching methods. We find interesting and robust evidence that (1) pegged regimes significantly decrease the likelihood of currency crises compared with floating regimes, and (2) pegged regimes with capital account liberalization significantly lower the likelihood of currency crises compared with other regimes. From the standpoint of the macroeconomic policy trilemma, we can reasonably conclude that pegged regimes with capital account liberalization are substantially less prone to speculative attacks because they can enhance greater credibility in their currencies by maintaining strict discipline for monetary and macroeconomic policies.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL: http://www.sciencedirect.com/science/article/pii/S0161893813000240
    Download Restriction: Full text for ScienceDirect subscribers only

    As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

    Article provided by Elsevier in its journal Journal of Policy Modeling.

    Volume (Year): 35 (2013)
    Issue (Month): 6 ()
    Pages: 943-963

    as
    in new window

    Handle: RePEc:eee:jpolmo:v:35:y:2013:i:6:p:943-963
    Contact details of provider: Web page: http://www.elsevier.com/locate/inca/505735

    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

    as in new window
    1. Sawischlewski, Katja & Menkhoff, Lukas & Beckmann, Daniela, 2005. "Robust Lessons about Practical Early Warning Systems," Proceedings of the German Development Economics Conference, Kiel 2005 3, Verein für Socialpolitik, Research Committee Development Economics.
    2. Hotz, V. Joseph & Crump, Richard K. & Mitnik, Oscar A. & Imbens, Guido, 2009. "Dealing with Limited Overlap in Estimation of Average Treatment Effects," Scholarly Articles 3007645, Harvard University Department of Economics.
    3. Glick, Reuven & Guo, Xueyan & Hutchison, Michael M., 2004. "Currency Crises, Capital Account Liberalization, and Selection Bias," Santa Cruz Department of Economics, Working Paper Series qt12t6x2ht, Department of Economics, UC Santa Cruz.
    4. von Hagen, Jurgen & Zhou, Jizhong, 2007. "The choice of exchange rate regimes in developing countries: A multinomial panel analysis," Journal of International Money and Finance, Elsevier, vol. 26(7), pages 1071-1094, November.
    5. Torsten Persson, 2001. "Currency unions and trade: how large is the treatment effect?," Economic Policy, CEPR;CES;MSH, vol. 16(33), pages 433-462, October.
    6. Guido Imbens & Jeffrey Wooldridge, 2008. "Recent developments in the econometrics of program evaluation," CeMMAP working papers CWP24/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    7. von Hagen, Jürgen & Zhou, Jizhong, 2003. "The determination of capital controls: Which role do exchange rate regimes play?," ZEI Working Papers B 08-2003, University of Bonn, ZEI - Center for European Integration Studies.
    8. Marco Caliendo & Sabine Kopeinig, 2005. "Some Practical Guidance for the Implementation of Propensity Score Matching," Discussion Papers of DIW Berlin 485, DIW Berlin, German Institute for Economic Research.
    9. Paolo Mauro & Grace Juhn, 2002. "Long-Run Determinants of Exchange Rate Regimes; A Simple Sensitivity Analysis," IMF Working Papers 02/104, International Monetary Fund.
    10. Maurice Obstfeld & Jay C.Shambaugh & Alan M.Taylor, 2003. "The Trilemma in History:Tradeoffs among Exchange Rates, Monetary Policies,and Capital Mobility," DNB Staff Reports (discontinued) 94, Netherlands Central Bank.
    11. Graciela L. Kaminsky & Carmen M. Reinhart, 1996. "The twin crises: the causes of banking and balance-of-payments problems," International Finance Discussion Papers 544, Board of Governors of the Federal Reserve System (U.S.).
    12. Guido W. Imbens, 2003. "Nonparametric Estimation of Average Treatment Effects under Exogeneity: A Review," NBER Technical Working Papers 0294, National Bureau of Economic Research, Inc.
    13. Reuven Glick & Michael Hutchison, 2002. "Capital controls and exchange rate instability in developing economies," Pacific Basin Working Paper Series 2000-05, Federal Reserve Bank of San Francisco.
    14. Menzie D. Chinn & Hiro Ito, 2002. "Capital Account Liberalization, Institutions and Financial Development: Cross Country Evidence," NBER Working Papers 8967, National Bureau of Economic Research, Inc.
    15. Alberto Abadie & David Drukker & Jane Leber Herr & Guido W. Imbens, 2004. "Implementing matching estimators for average treatment effects in Stata," Stata Journal, StataCorp LP, vol. 4(3), pages 290-311, September.
    16. Levy-Yeyati, Eduardo & Sturzenegger, Federico, 2005. "Classifying exchange rate regimes: Deeds vs. words," European Economic Review, Elsevier, vol. 49(6), pages 1603-1635, August.
    17. Lin, Shu & Ye, Haichun, 2007. "Does inflation targeting really make a difference? Evaluating the treatment effect of inflation targeting in seven industrial countries," Journal of Monetary Economics, Elsevier, vol. 54(8), pages 2521-2533, November.
    18. Bussiere, Matthieu & Fratzscher, Marcel, 2008. "Low probability, high impact: Policy making and extreme events," Journal of Policy Modeling, Elsevier, vol. 30(1), pages 111-121.
    19. Husain, Aasim M. & Mody, Ashoka & Rogoff, Kenneth S., 2005. "Exchange rate regime durability and performance in developing versus advanced economies," Journal of Monetary Economics, Elsevier, vol. 52(1), pages 35-64, January.
    20. Atish R. Ghosh & Anne-Marie Gulde & Holger C. Wolf, 2003. "Exchange Rate Regimes: Choices and Consequences," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262072408.
    21. Carmen M. Reinhart & Kenneth S. Rogoff, 2004. "The Modern History of Exchange Rate Arrangements: A Reinterpretation," The Quarterly Journal of Economics, Oxford University Press, vol. 119(1), pages 1-48.
    22. Hans Genberg & Alexander K. Swoboda, 2004. "Exchange-Rate Regimes: "Does What Countries Say Matter?"," IHEID Working Papers 07-2004, Economics Section, The Graduate Institute of International Studies.
    23. James J. Heckman & Hidehiko Ichimura & Petra Todd, 1998. "Matching As An Econometric Evaluation Estimator," Review of Economic Studies, Oxford University Press, vol. 65(2), pages 261-294.
    24. Esaka, Taro, 2010. "De facto exchange rate regimes and currency crises: Are pegged regimes with capital account liberalization really more prone to speculative attacks?," Journal of Banking & Finance, Elsevier, vol. 34(6), pages 1109-1128, June.
    25. Steven Radelet & Jeffrey D. Sachs, 1998. "The East Asian Financial Crisis: Diagnosis, Remedies, Prospects," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 29(1), pages 1-90.
    26. Hong, Kiseok & Tornell, Aaron, 2005. "Recovery from a currency crisis: some stylized facts," Journal of Development Economics, Elsevier, vol. 76(1), pages 71-96, February.
    27. Alberto Abadie & Guido W. Imbens, 2006. "Large Sample Properties of Matching Estimators for Average Treatment Effects," Econometrica, Econometric Society, vol. 74(1), pages 235-267, 01.
    28. Fasika Damte Haile & Susan Pozo, 2006. "Exchange Rate Regimes and Currency Crises: an Evaluation using Extreme Value Theory," Review of International Economics, Wiley Blackwell, vol. 14(4), pages 554-570, 09.
    29. Rajeev H. Dehejia & Sadek Wahba, 1998. "Propensity Score Matching Methods for Non-experimental Causal Studies," NBER Working Papers 6829, National Bureau of Economic Research, Inc.
    30. Sascha O. Becker & Andrea Ichino, 2002. "Estimation of average treatment effects based on propensity scores," Stata Journal, StataCorp LP, vol. 2(4), pages 358-377, November.
    Full references (including those not matched with items on IDEAS)

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:eee:jpolmo:v:35:y:2013:i:6:p:943-963. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei)

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.