IDEAS home Printed from https://ideas.repec.org/p/esx/essedp/2761.html
   My bibliography  Save this paper

Testing for Unit Roots with Flow Data and Varying Sampling Frequency

Author

Listed:
  • Chambers, MJ

Abstract

This paper considers tests for a unit root in a flow variable when the span of data and/or the sampling frequency are allowed to vary. The limiting distributions of the statistics are obtained under both the null and alternative hypotheses, thereby enabling an analysis of the consistency properties of the tests to be conducted. Contrary to the situation with a stock variable, it is found that it is possible to consistently test for a unit root in a flow variable even when the span of the data is fixed, and, furthermore, that increasing the span of the data is not in itself sufficient for consistent testing. Some new simulation results are provided while the theoretical results obtained help to explain recent simulation findings by other authors involving unit root tests with flow variables.

Suggested Citation

  • Chambers, MJ, 2001. "Testing for Unit Roots with Flow Data and Varying Sampling Frequency," Economics Discussion Papers 2761, University of Essex, Department of Economics.
    • Handle: RePEc:esx:essedp:2761
    as

    Download full text from publisher

    File URL: https://repository.essex.ac.uk/2761/
    File Function: original version
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Chambers, Marcus J., 2004. "Testing for unit roots with flow data and varying sampling frequency," Journal of Econometrics, Elsevier, vol. 119(1), pages 1-18, March.
    2. Bergstrom, A.R., 1984. "Continuous time stochastic models and issues of aggregation over time," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 20, pages 1145-1212, Elsevier.
    3. Perron, Pierre, 1991. "Test Consistency with Varying Sampling Frequency," Econometric Theory, Cambridge University Press, vol. 7(3), pages 341-368, September.
    4. Ng, Serena, 1995. "Testing for unit roots in flow data sampled at different frequencies," Economics Letters, Elsevier, vol. 47(3-4), pages 237-242, March.
    5. Phillips, P C B, 1987. "Time Series Regression with a Unit Root," Econometrica, Econometric Society, vol. 55(2), pages 277-301, March.
    6. Phillips, P C B, 1987. "Time Series Regression with a Unit Root," Econometrica, Econometric Society, vol. 55(2), pages 277-301, March.
    7. Choi, In, 1992. "Effects of data aggregation on the power of tests for a unit root : A simulation study," Economics Letters, Elsevier, vol. 40(4), pages 397-401, December.
    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. Wang, Dabin & Tomek, William G., 2004. "Commodity Prices And Unit Root Tests," 2004 Annual meeting, August 1-4, Denver, CO 20141, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Hassler, Uwe, 2011. "Estimation of fractional integration under temporal aggregation," Journal of Econometrics, Elsevier, vol. 162(2), pages 240-247, June.
    3. Theodore Simos & Mike Tsionas, 2018. "Bayesian inference of the fractional Ornstein–Uhlenbeck process under a flow sampling scheme," Computational Statistics, Springer, vol. 33(4), pages 1687-1713, December.
    4. Wang, Dabin & Tomek, William G., 2004. "Commodity Prices And Unit Root Tests," Working Papers 127145, Cornell University, Department of Applied Economics and Management.
    5. Xuedong Wu & Jeffrey H. Dorfman & Berna Karali, 2018. "The impact of data frequency on market efficiency tests of commodity futures prices," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(6), pages 696-714, June.
    6. Chambers, MJ, 2016. "The Effects of Sampling Frequency on Detrending Methods for Unit Root Tests," Economics Discussion Papers 16062, University of Essex, Department of Economics.
    7. Chambers, Marcus J., 2004. "Testing for unit roots with flow data and varying sampling frequency," Journal of Econometrics, Elsevier, vol. 119(1), pages 1-18, March.
    8. repec:hal:journl:peer-00815563 is not listed 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. Pierse, R. G. & Snell, A. J., 1995. "Temporal aggregation and the power of tests for a unit root," Journal of Econometrics, Elsevier, vol. 65(2), pages 333-345, February.
    2. Wang, Dabin & Tomek, William G., 2004. "Commodity Prices And Unit Root Tests," 2004 Annual meeting, August 1-4, Denver, CO 20141, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. Wang, Dabin & Tomek, William G., 2004. "Commodity Prices And Unit Root Tests," Working Papers 127145, Cornell University, Department of Applied Economics and Management.
    4. Adamopoulos Antonios, 2010. "Credit Market Development and Economic Growth: An Empirical Analysis for Ireland," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 3-18.
    5. Ocaña Pérez de Tudela, Carlos, 1994. "Why are there merger waves?," DEE - Working Papers. Business Economics. WB 7073, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
    6. George Hondroyiannis & Evangelia Papapetrou, 2001. "An Investigation of the Public Deficts and Government Spending Relationship: Evidence for Greece," Public Choice, Springer, vol. 107(1), pages 169-182, April.
    7. Chambers, MJ & McCrorie, JR & Thornton, MA, 2017. "Continuous Time Modelling Based on an Exact Discrete Time Representation," Economics Discussion Papers 20497, University of Essex, Department of Economics.
    8. Hondroyiannis, George & Papapetrou, Evangelia, 1998. "Temporal causality and the inflation-productivity relationship: Evidence from eight low inflation OECD countries," International Review of Economics & Finance, Elsevier, vol. 7(1), pages 117-135.
    9. Hondroyiannis, George & Lolos, Sarantis & Papapetrou, Evangelia, 2002. "Energy consumption and economic growth: assessing the evidence from Greece," Energy Economics, Elsevier, vol. 24(4), pages 319-336, July.
    10. George Hondroyiannis & Evangelia Papapetrou, 2000. "Do Demographic Changes Affect Fiscal Developments?," Public Finance Review, , vol. 28(5), pages 468-488, September.
    11. Hernández, Juan R., 2016. "Unit Root Testing in ARMA Models: A Likelihood Ratio Approach," MPRA Paper 100857, University Library of Munich, Germany.
    12. Georgios E. Chortareas & Rebecca L. Driver, 2001. "PPP and the real exchange rate-real interest rate differential puzzle revisited: evidence from non-stationary panel data," Bank of England working papers 138, Bank of England.
    13. John Y. Campbell & Pierre Perron, 1991. "Pitfalls and Opportunities: What Macroeconomists Should Know about Unit Roots," NBER Chapters, in: NBER Macroeconomics Annual 1991, Volume 6, pages 141-220, National Bureau of Economic Research, Inc.
    14. Peter C.B.Phillips & Jun Yu, "undated". "Maximum Likelihood and Gaussian Estimation of Continuous Time Models in Finance," Working Papers CoFie-08-2009, Singapore Management University, Sim Kee Boon Institute for Financial Economics.
    15. Vazakidis Athanasios & Adamopoulos Antonios, 2012. "Stock Market Development and Economic Growth an Empirical Analysis," American Journal of Economics and Business Administration, Science Publications, vol. 4(2), pages 135-143, June.
    16. Hondroyiannis, George & Papapetrou, Evangelia, 2001. "Demographic changes, labor effort and economic growth: empirical evidence from Greece," Journal of Policy Modeling, Elsevier, vol. 23(2), pages 169-188, February.
    17. George Hondroyiannis & Evangelia Papapetrou, 1999. "Fertility choice and economic growth: Empirical evidence from the U.S," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 5(1), pages 108-120, February.
    18. Cunado, J. & Gil-Alana, L.A. & de Gracia, F. Perez, 2005. "A test for rational bubbles in the NASDAQ stock index: A fractionally integrated approach," Journal of Banking & Finance, Elsevier, vol. 29(10), pages 2633-2654, October.
    19. Hernández Juan R., 2016. "Unit Root Testing in ARMA Models: A Likelihood Ratio Approach," Working Papers 2016-03, Banco de México.
    20. John Barkoulas & Christopher Baum & Mustafa Caglayan, 1999. "Fractional monetary dynamics," Applied Economics, Taylor & Francis Journals, vol. 31(11), pages 1393-1400.

    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:esx:essedp:2761. 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: Essex Economics Web Manager (email available below). General contact details of provider: https://edirc.repec.org/data/edessuk.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.