IDEAS home Printed from
   My bibliography  Save this paper

Purchasing Power Parity in South Asia: A Panel Data Approach


  • Noman, Abdullah


The paper tests for PPP by investigating into the real exchange rates of seven South Asian countries. It employs two univariate unit root tests, namely, the ADF and the PP tests and two panel unit root tests, namely, the IPS and the CIPS tests. The univariate tests overwhelmingly fail to reject the unit root null. The IPS test also reinforces this result. The CIPS test that takes into account of cross section dependence produces mixed results. The findings, on the whole, fail to support stationarity of the South Asian real exchange rates and hence, PPP does not seem to be a valid proposition for the region.

Suggested Citation

  • Noman, Abdullah, 2008. "Purchasing Power Parity in South Asia: A Panel Data Approach," MPRA Paper 7824, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:7824

    Download full text from publisher

    File URL:
    File Function: original version
    Download Restriction: no

    References listed on IDEAS

    1. Jörg Breitung & Bertrand Candelon, 2005. "Purchasing Power Parity during Currency Crises: A Panel Unit Root Test under Structural Breaks," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 141(1), pages 124-140, April.
    2. Imed Drine & Christophe Rault, 2008. "Purchasing Power Parity For Developing And Developed Countries. What Can We Learn From Non-Stationary Panel Data Models?," Journal of Economic Surveys, Wiley Blackwell, vol. 22(4), pages 752-773, September.
    3. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    4. Lucio Sarno & Mark P. Taylor, 2002. "Purchasing Power Parity and the Real Exchange Rate," IMF Staff Papers, Palgrave Macmillan, vol. 49(1), pages 1-5.
    5. Pesaran, M.H., 2004. "‘General Diagnostic Tests for Cross Section Dependence in Panels’," Cambridge Working Papers in Economics 0435, Faculty of Economics, University of Cambridge.
    6. Jeffrey A. Frankel, 1985. "International capital mobility and crowding-out in the U.S. economy: imperfect integration of financial markets or of goods markets?," Proceedings, Federal Reserve Bank of St. Louis, pages 33-74.
    7. Alan M. Taylor & Mark P. Taylor, 2004. "The Purchasing Power Parity Debate," Journal of Economic Perspectives, American Economic Association, vol. 18(4), pages 135-158, Fall.
    8. Peter Pedroni, 2000. "Fully Modified OLS for Heterogeneous Cointegrated Panels," Department of Economics Working Papers 2000-03, Department of Economics, Williams College.
    9. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    10. Coakley, Jerry & Fuertes, Ana Maria, 1997. "New panel unit root tests of PPP," Economics Letters, Elsevier, vol. 57(1), pages 17-22, November.
    11. Coakley, Jerry & Kellard, Neil & Snaith, Stuart, 2005. "The PPP debate: Price matters!," Economics Letters, Elsevier, vol. 88(2), pages 209-213, August.
    12. Lothian, James R & Taylor, Mark P, 1996. "Real Exchange Rate Behavior: The Recent Float from the Perspective of the Past Two Centuries," Journal of Political Economy, University of Chicago Press, vol. 104(3), pages 488-509, June.
    13. M. Hashem Pesaran & Badi H. Baltagi, 2007. "Heterogeneity and cross section dependence in panel data models: theory and applications introduction," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 229-232.
    14. I. Drine & Christophe Rault, 2007. "Purchasing Power Parity for developing and developed. What can we Learn from Non-Stationary Panel Data Models?," Post-Print halshs-00202773, HAL.
    15. Peter Pedroni, 2001. "Purchasing Power Parity Tests In Cointegrated Panels," The Review of Economics and Statistics, MIT Press, vol. 83(4), pages 727-731, November.
    Full references (including those not matched with items on IDEAS)

    More about this item

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • F31 - International Economics - - International Finance - - - Foreign Exchange

    NEP fields

    This paper has been announced in the following NEP Reports:


    Access and download statistics


    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:7824. 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: (Joachim Winter). General contact details of provider: .

    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 CitEc recognized a reference but did not link an item in RePEc 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 RePEc Author Service 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.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.