IDEAS home Printed from https://ideas.repec.org/a/bla/obuest/v68y2006i5p647-663.html
   My bibliography  Save this article

Combining Significance of Correlated Statistics with Application to Panel Data

Author

Listed:
  • Matei Demetrescu
  • Uwe Hassler
  • Adina‐Ioana Tarcolea

Abstract

The inverse normal method, which is used to combine P‐values from a series of statistical tests, requires independence of single test statistics in order to obtain asymptotic normality of the joint test statistic. The paper discusses the modification by Hartung (1999, Biometrical Journal, Vol. 41, pp. 849–855), which is designed to allow for a certain correlation matrix of the transformed P‐values. First, the modified inverse normal method is shown here to be valid with more general correlation matrices. Secondly, a necessary and sufficient condition for (asymptotic) normality is provided, using the copula approach. Thirdly, applications to panels of cross‐correlated time series, stationary as well as integrated, are considered. The behaviour of the modified inverse normal method is quantified by means of Monte Carlo experiments.

Suggested Citation

  • Matei Demetrescu & Uwe Hassler & Adina‐Ioana Tarcolea, 2006. "Combining Significance of Correlated Statistics with Application to Panel Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 68(5), pages 647-663, October.
    • Handle: RePEc:bla:obuest:v:68:y:2006:i:5:p:647-663
    DOI: 10.1111/j.1468-0084.2006.00181.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1468-0084.2006.00181.x
    Download Restriction: no
    File URL: https://libkey.io/10.1111/j.1468-0084.2006.00181.x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Im, K.S. & Pesaran, M.H., 2003. "On The Panel Unit Root Tests Using Nonlinear Instrumental Variables," Cambridge Working Papers in Economics 0347, Faculty of Economics, University of Cambridge.
    2. Heike, Hans-Dieter & Tarcolea, Constantin, 2000. "Grundlagen der Statistik und Wahrscheinlichkeitsrechnung," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 2453, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Valérie Mignon & Christophe Hurlin, 2005. "Une synthèse des tests de racine unitaire sur données de panel," Économie et Prévision, Programme National Persée, vol. 169(3), pages 253-294.
    2. Florian Morvillier, 2018. "On the impact of the launch of the euro on EMU macroeconomic vulnerability," EconomiX Working Papers 2018-51, University of Paris Nanterre, EconomiX.
    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. Martin Wagner, 2008. "On PPP, unit roots and panels," Empirical Economics, Springer, vol. 35(2), pages 229-249, September.
    5. Christophe Hurlin, 2010. "What would Nelson and Plosser find had they used panel unit root tests?," Applied Economics, Taylor & Francis Journals, vol. 42(12), pages 1515-1531.
    6. Ching-Chuan Tsong & Cheng-Feng Lee, 2013. "Further Evidence On Real Interest Rate Equalization: Panel Information, Non-Linearities And Structural Changes," Bulletin of Economic Research, Wiley Blackwell, vol. 65, pages 85-105, May.
    7. Pradiptarathi PANDA & Jinesh PANCHALI, 2019. "Corporate ownership structure and performance: An enquiry into India," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(4(621), W), pages 93-110, Winter.
    8. Breitung, Jörg & Pesaran, Mohammad Hashem, 2005. "Unit roots and cointegration in panels," Discussion Paper Series 1: Economic Studies 2005,42, Deutsche Bundesbank.
    9. Florian Morvillier, 2018. "On the impact of the launch of the euro on EMU macroeconomic vulnerability," Working Papers hal-04141675, HAL.
    10. Moghaddam, Hussein & Wirl, Franz, 2018. "Determinants of oil price subsidies in oil and gas exporting countries," Energy Policy, Elsevier, vol. 122(C), pages 409-420.
    11. Barabas, György & Kitlinski, Tobias & Schmidt, Christoph M. & Schmidt, Torsten & Siemers, Lars-H. & Brilon, Werner, 2010. "Verkehrsinfrastrukturinvestitionen: Wachstumsaspekte im Rahmen einer gestaltenden Finanzpolitik. Endbericht - Januar 2010. Forschungsprojekt im Auftrag des Bundesministeriums der Finanzen. Projektnumm," RWI Projektberichte, RWI - Leibniz-Institut für Wirtschaftsforschung, number 72601.
    12. Udvari, Beáta & Dávid Kiss, Gábor & Pontet, Julianna, 2016. "Challenges of Missing Data in Analyses of Aid Activity: The Case of US Aid Activity," Bangladesh Development Studies, Bangladesh Institute of Development Studies (BIDS), vol. 39(1-2), pages 1-25, March-Jun.
    13. Wagner, Martin, 2008. "The carbon Kuznets curve: A cloudy picture emitted by bad econometrics?," Resource and Energy Economics, Elsevier, vol. 30(3), pages 388-408, August.
    14. Suzana Balaban & Dejan Živkov, 2021. "Validity of Wagner’s Law in Transition Economies: A Multivariate Approach," Hacienda Pública Española / Review of Public Economics, IEF, vol. 236(1), pages 105-131, March.
    15. Mohamed Abdouli & Sami Hammami, 2020. "Economic Growth, Environment, FDI Inflows, and Financial Development in Middle East Countries: Fresh Evidence from Simultaneous Equation Models," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 11(2), pages 479-511, June.
    16. Todd Kuethe & Valerien Pede, 2011. "Regional Housing Price Cycles: A Spatio-temporal Analysis Using US State-level Data," Regional Studies, Taylor & Francis Journals, vol. 45(5), pages 563-574.
    17. Vinh Q. T. Dang & Yu (Alan) Yang, 2017. "Assessing Market Integration in ASEAN with Retail Price Data," Pacific Economic Review, Wiley Blackwell, vol. 22(4), pages 510-532, October.
    18. Shin, Dong Wan & Kang, Seungho, 2006. "An instrumental variable approach for panel unit root tests under cross-sectional dependence," Journal of Econometrics, Elsevier, vol. 134(1), pages 215-234, September.
    19. Hekuran NEZIRI, 2009. "Can Credit Default Swaps Predict Financial Crises? Empirical Study On Emerging Markets," Journal of Applied Economic Sciences, Spiru Haret University, Faculty of Financial Management and Accounting Craiova, vol. 4(1(7)_ Spr).
    20. Zhang, Qianxiao & Shah, Syed Ale Raza & Yang, Ling, 2022. "Modeling the effect of disaggregated renewable energies on ecological footprint in E5 economies: Do economic growth and R&D matter?," Applied Energy, Elsevier, vol. 310(C).

    More about this item

    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:bla:obuest:v:68:y:2006:i:5:p:647-663. 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.

    If CitEc recognized a bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/sfeixuk.html .

    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.