IDEAS home Printed from https://ideas.repec.org/p/bru/bruedp/04-18.html

Panel Data Tests Of Ppp: A Critical Overview

Author

Listed:
  • Guglielmo Maria Caporale

  • Mario Cerrato

Abstract

This paper reviews recent developments in the analysis of non-stationary panels, focusing on empirical applications of panel unit root and cointegration tests in the context of PPP. It highlights various drawbacks of existing methods. First, unit root tests suffer from severe size distortions in the presence of negative moving average errors. Second, the common demeaning procedure to correct for the bias resulting from homogeneous cross-sectional dependence is not effective; more worryingly, it introduces cross-correlation when it is not already present. Third, standard corrections for the case of heterogeneous cross-sectional dependence do not generally produce consistent estimators. Fourth, if there is between-group correlation in the innovations, the SURE estimator is affected by similar problems to FGLS methods, and does not necessarily outperform OLS. Finally, cointegration between different groups in the panel could also be a source of size distortions. We offer some empirical guidelines to deal with these problems, but conclude that panel methods are unlikely to solve the PPP puzzle.

Suggested Citation

  • Guglielmo Maria Caporale & Mario Cerrato, 2004. "Panel Data Tests Of Ppp: A Critical Overview," Economics and Finance Discussion Papers 04-18, Economics and Finance Section, School of Social Sciences, Brunel University.
    • Handle: RePEc:bru:bruedp:04-18
    as

    Download full text from publisher

    File URL: http://www.brunel.ac.uk/329/efwps/04-18.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. is not listed on IDEAS
    2. Julian Ramajo & Montserrat Ferre, 2010. "Purchasing power parity revisited: evidence from old and new tests for an organisation for economic co-operation and development panel," Applied Economics, Taylor & Francis Journals, vol. 42(17), pages 2243-2260.
    3. Dierk Herzer, 2014. "Unions and income inequality: a heterogenous cointegration and causality analysis," Working Paper 146/2014, Helmut Schmidt University, Hamburg.
    4. Guglielmo Maria Caporale & Christoph Hanck, 2010. "Are PPP tests erratically behaved? Some panel evidence," International Review of Applied Economics, Taylor & Francis Journals, vol. 24(2), pages 203-221.
    5. Luis Alberiko Gil-Alaña & Guiglielmo Maria Caporale, 2012. "Testing the PPP Hypothesis in the Sub-Saharan Countries," NCID Working Papers 10/2012, Navarra Center for International Development, University of Navarra.
    6. Guglielmo Maria Caporale & Christoph Hanck, 2009. "Cointegration tests of PPP: do they also exhibit erratic behaviour?," Applied Economics Letters, Taylor & Francis Journals, vol. 16(1), pages 9-15.
    7. Guglielmo Maria Caporale & Andros Gregoriou, 2009. "Non-normality, heteroscedasticity and recursive unit root tests of PPP: solving the PPP puzzle?," Applied Economics Letters, Taylor & Francis Journals, vol. 16(3), pages 223-226.
    8. Edward Bernard Bastiaan de Rivera y Rivera & Diógenes Manoel Leiva Martin & Emerson Fernandes Marçal & Leonardo Fernando Cruz Basso, 2012. "Present value model between prices and dividends with constant and time-varying expected returns: enterprise-level Brazilian stock market evidence from non-stationary panels," Brazilian Business Review, Fucape Business School, vol. 9(4), pages 51-86, October.
    9. Martin Wagner, 2008. "On PPP, unit roots and panels," Empirical Economics, Springer, vol. 35(2), pages 229-249, September.
    10. Dierk Herzer & Julian Donaubauer, 2018. "The long-run effect of foreign direct investment on total factor productivity in developing countries: a panel cointegration analysis," Empirical Economics, Springer, vol. 54(2), pages 309-342, March.
    11. Miles, William, 2020. "House price convergence in the euro zone: A pairwise approach," Economic Systems, Elsevier, vol. 44(3).
    12. Julián Ramajo Hernández(1) & Montserrat Ferré Carracedo(2), "undated". "Testing For Long-Run Purchasing Power Parity In The Post Bretton Woods Era: Evidence From Old And New Tests," Working Papers 24-05 Classification-JEL , Instituto de Estudios Fiscales.
    13. Woo, Kai-Yin & Lee, Shu-Kam, 2009. "Detecting intra-national PPP model in China: A median-unbiased estimation approach," Economic Modelling, Elsevier, vol. 26(5), pages 1029-1032, September.
    14. Dierk Herzer & Holger Strulik, 2017. "Religiosity and income: a panel cointegration and causality analysis," Applied Economics, Taylor & Francis Journals, vol. 49(30), pages 2922-2938, June.
    15. Norkutė, Milda & Westerlund, Joakim, 2021. "The factor analytical approach in near unit root interactive effects panels," Journal of Econometrics, Elsevier, vol. 221(2), pages 569-590.
    16. Dierk Herzer, 2017. "The Long-run Relationship Between Trade and Population Health: Evidence from Five Decades," The World Economy, Wiley Blackwell, vol. 40(2), pages 462-487, February.
    17. Luke Lin & Chun I. Lee, 2016. "Central Bank Intervention, Exchange Rate Regime and the Purchasing Power Parity," The World Economy, Wiley Blackwell, vol. 39(8), pages 1256-1274, August.
    18. Paweł Baranowski, 2005. "Wpływ inflacji na inwestycje w kapitał rzeczowy w krajach Unii Europejskiej," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 11-12, pages 19-30.
    19. Baranowski, Paweł, . "Wpływ inflacji na inwestycje w kapitał rzeczowy w krajach Unii Europejskiej," Gospodarka Narodowa-The Polish Journal of Economics, Szkoła Główna Handlowa w Warszawie / SGH Warsaw School of Economics, vol. 2005(11-12).
    20. Ryan Greenaway‐McGrevy & Nelson C. Mark & Donggyu Sul & Jyh‐Lin Wu, 2018. "Identifying Exchange Rate Common Factors," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 59(4), pages 2193-2218, November.
    21. Bahram Adrangi & Mary E. Allender & Kambiz Raffiee, 2011. "Exchange Rates and Inflation Rates: Exploring Nonlinear Relationships," Review of Economics & Finance, Better Advances Press, Canada, vol. 1, pages 1-16, April.
    22. Luzzati, Tommaso & Orsini, Marco & Gucciardi, Gianluca, 2018. "A multiscale reassessment of the Environmental Kuznets Curve for energy and CO2 emissions," Energy Policy, Elsevier, vol. 122(C), pages 612-621.
    23. Cerrato, Mario & Sarantis, Nicholas, 2007. "A bootstrap panel unit root test under cross-sectional dependence, with an application to PPP," Computational Statistics & Data Analysis, Elsevier, vol. 51(8), pages 4028-4037, May.

    More about this item

    JEL classification:

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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    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:bru:bruedp:04-18. See general information about how to correct material in RePEc.

    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.

    We have no bibliographic references for this item. You can help adding them by using 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: John.Hunter (email available below). General contact details of provider: .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.