IDEAS home Printed from https://ideas.repec.org/a/kap/compec/v41y2013i1p1-9.html
   My bibliography  Save this article

Response Surface Estimates of the Cross-Sectionally Augmented IPS Tests for Panel Unit Roots

Author

Listed:
  • Jesús Otero
  • Jeremy Smith

Abstract

This paper estimates response surface coefficients for a large range of quantiles of the cross-sectionally augmented IPS (CIPS) test of Pesaran ( 2007 ), for different specifications of the deterministic components. An Excel programme is available to calculate the P value associated with a CIPS test statistic. Copyright Springer Science+Business Media, LLC. 2013

Suggested Citation

  • Jesús Otero & Jeremy Smith, 2013. "Response Surface Estimates of the Cross-Sectionally Augmented IPS Tests for Panel Unit Roots," Computational Economics, Springer;Society for Computational Economics, vol. 41(1), pages 1-9, January.
    • Handle: RePEc:kap:compec:v:41:y:2013:i:1:p:1-9
    DOI: 10.1007/s10614-011-9309-4
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s10614-011-9309-4
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s10614-011-9309-4?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. MacKinnon, James G & Haug, Alfred A & Michelis, Leo, 1999. "Numerical Distribution Functions of Likelihood Ratio Tests for Cointegration," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(5), pages 563-577, Sept.-Oct.
    2. Sephton, Peter S., 1995. "Response surface estimates of the KPSS stationarity test," Economics Letters, Elsevier, vol. 47(3-4), pages 255-261, March.
    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. Hylleberg, S. & Engle, R. F. & Granger, C. W. J. & Yoo, B. S., 1990. "Seasonal integration and cointegration," Journal of Econometrics, Elsevier, vol. 44(1-2), pages 215-238.
    5. Harvey, David I. & van Dijk, Dick, 2006. "Sample size, lag order and critical values of seasonal unit root tests," Computational Statistics & Data Analysis, Elsevier, vol. 50(10), pages 2734-2751, June.
    6. Engle, R. F. & Granger, C. W. J. (ed.), 1991. "Long-Run Economic Relationships: Readings in Cointegration," OUP Catalogue, Oxford University Press, number 9780198283393.
    7. 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.
    8. Strauss, Jack & Yigit, Taner, 2003. "Shortfalls of panel unit root testing," Economics Letters, Elsevier, vol. 81(3), pages 309-313, December.
    9. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    10. MacKinnon, James G, 1996. "Numerical Distribution Functions for Unit Root and Cointegration Tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 601-618, Nov.-Dec..
    11. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    12. MacKinnon, James G, 1994. "Approximate Asymptotic Distribution Functions for Unit-Root and Cointegration Tests," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(2), pages 167-176, April.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Holmes, Mark J. & Otero, Jesús & Panagiotidis, Theodore, 2013. "Modelling the behaviour of unemployment rates in the US over time and across space," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(22), pages 5711-5722.
    2. 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.
    3. 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.
    4. 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.
    5. Dierk Herzer, 2019. "The long-run effect of aid on health: evidence from panel cointegration analysis," Applied Economics, Taylor & Francis Journals, vol. 51(12), pages 1319-1338, March.
    6. Mark J. Holmes & Jesús Otero, 2022. "The wage curve within and across regions: new insights from a pairwise view of US states," Empirical Economics, Springer, vol. 62(5), pages 2069-2089, May.

    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. Sebastian Kripfganz & Daniel C. Schneider, 2020. "Response Surface Regressions for Critical Value Bounds and Approximate p‐values in Equilibrium Correction Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(6), pages 1456-1481, December.
    2. Neil R. Ericsson & James G. MacKinnon, 2002. "Distributions of error correction tests for cointegration," Econometrics Journal, Royal Economic Society, vol. 5(2), pages 285-318, June.
    3. John D. Levendis, 2018. "Time Series Econometrics," Springer Texts in Business and Economics, Springer, number 978-3-319-98282-3, December.
    4. Harvey, David I. & van Dijk, Dick, 2006. "Sample size, lag order and critical values of seasonal unit root tests," Computational Statistics & Data Analysis, Elsevier, vol. 50(10), pages 2734-2751, June.
    5. Peter Sephton, 2008. "Critical values of the augmented fractional Dickey–Fuller test," Empirical Economics, Springer, vol. 35(3), pages 437-450, November.
    6. Jesús Otero & Jeremy Smith, 2012. "Response surface models for the Leybourne unit root tests and lag order dependence," Computational Statistics, Springer, vol. 27(3), pages 473-486, September.
    7. Erie Febrian & Aldrin Herwany, 2009. "Volatility Forecasting Models and Market Co-Integration: A Study on South-East Asian Markets," Working Papers in Economics and Development Studies (WoPEDS) 200911, Department of Economics, Padjadjaran University, revised Sep 2009.
    8. Derek Bond & Michael J. Harrison & Edward J. O'Brien, 2005. "Testing for Long Memory and Nonlinear Time Series: A Demand for Money Study," Trinity Economics Papers tep20021, Trinity College Dublin, Department of Economics.
    9. Ana Iregui & Jesús Otero, 2011. "Testing the law of one price in food markets: evidence for Colombia using disaggregated data," Empirical Economics, Springer, vol. 40(2), pages 269-284, April.
    10. 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.
    11. Herzer, Dierk, 2013. "Cross-Country Heterogeneity and the Trade-Income Relationship," World Development, Elsevier, vol. 44(C), pages 194-211.
    12. Kisswani, Khalid M., 2016. "Does OPEC act as a cartel? Empirical investigation of coordination behavior," Energy Policy, Elsevier, vol. 97(C), pages 171-180.
    13. Krishna M. Kasibhatla & David Stewart & Swapan Sen & John Malindretos, 2006. "Are Daily Stock Price Indices in the Major European Equity Markets Cointegrated? Tests and Evidence," The American Economist, Sage Publications, vol. 50(2), pages 47-57, October.
    14. Koji Nakamura & Yumi Saita, 2007. "Land Prices and Fundamentals," Bank of Japan Working Paper Series 07-E-8, Bank of Japan.
    15. Zou, Gao Lu, 2012. "The long-term relationships among China's energy consumption sources and adjustments to its renewable energy policy," Energy Policy, Elsevier, vol. 47(C), pages 456-467.
    16. Bohl, Martin T. & Siklos, Pierre L. & Stefan, Martin & Wellenreuther, Claudia, 2020. "Price discovery in agricultural commodity markets: Do speculators contribute?," Journal of Commodity Markets, Elsevier, vol. 18(C).
    17. Jesús Otero & Luis Fernando Gamboa & Andrés García-Suaza, 2011. "An analysis of the relationship between wages in the public and private sector in colombia: a panel data approach," Documentos de Trabajo 8738, Universidad del Rosario.
    18. Jorg Breitung & Gianluca Cubadda, 2009. "Testing for cointegration in high-dimensional systems," CEIS Research Paper 148, Tor Vergata University, CEIS, revised 30 Sep 2009.
    19. Herwany, Aldrin & Febrian, Erie, 2008. "Co-integration and Causality Analysis on Developed Asian Markets For Risk Management & Portfolio Selection," MPRA Paper 10259, University Library of Munich, Germany.
    20. Chia-Lin Chang & Thanchanok Khamkaew & Michael McAleer, 2010. "Estimating Price Effects in an Almost Ideal Demand Model of Outbound Thai Tourism to East Asia," Working Papers in Economics 10/11, University of Canterbury, Department of Economics and Finance.

    More about this item

    Keywords

    CIPS test; Monte Carlo; Unit roots; Response surface; Critical values; P values; C12; C15;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General

    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:kap:compec:v:41:y:2013:i:1:p:1-9. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.