IDEAS home Printed from https://ideas.repec.org/p/may/mayecw/n1620106.pdf.html
   My bibliography  Save this paper

Irrelevant but highly persistent instruments in stationary regressions with endogenous variables containing near-to-unit roots

Author

Listed:
  • Ekaterini Panopoulou

    () (Economics, National University of Ireland, Maynooth)

  • Nicolaos Kourogenis
  • Nikitas Pittis

Abstract

This paper suggests that IV estimators, utilizing irrelevant but persistent instruments mai produce reliable inferences, in small samples, in cases where the endogenous variables contaii autoregressive roots near unity. In such cases, these estimators appear to outperform IV estimator: with strong instruments as well as some asymptotically efficient cointegration estimators.

Suggested Citation

  • Ekaterini Panopoulou & Nicolaos Kourogenis & Nikitas Pittis, 2006. "Irrelevant but highly persistent instruments in stationary regressions with endogenous variables containing near-to-unit roots," Economics, Finance and Accounting Department Working Paper Series n1620106.pdf, Department of Economics, Finance and Accounting, National University of Ireland - Maynooth.
  • Handle: RePEc:may:mayecw:n1620106.pdf
    as

    Download full text from publisher

    File URL: http://repec.maynoothuniversity.ie/mayecw-files/N1620106.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Peter C. B. Phillips & Bruce E. Hansen, 1990. "Statistical Inference in Instrumental Variables Regression with I(1) Processes," Review of Economic Studies, Oxford University Press, vol. 57(1), pages 99-125.
    2. Peter C. B. Phillips & Mico Loretan, 1991. "Estimating Long-run Economic Equilibria," Review of Economic Studies, Oxford University Press, vol. 58(3), pages 407-436.
    3. Bekker, Paul A, 1994. "Alternative Approximations to the Distributions of Instrumental Variable Estimators," Econometrica, Econometric Society, vol. 62(3), pages 657-681, May.
    4. Park, Joon Y. & Phillips, Peter C.B., 1988. "Statistical Inference in Regressions with Integrated Processes: Part 1," Econometric Theory, Cambridge University Press, vol. 4(03), pages 468-497, December.
    5. Buse, A, 1992. "The Bias of Instrumental Variable Estimators," Econometrica, Econometric Society, vol. 60(1), pages 173-180, January.
    6. Jean-Marie Dufour, 1997. "Some Impossibility Theorems in Econometrics with Applications to Structural and Dynamic Models," Econometrica, Econometric Society, vol. 65(6), pages 1365-1388, November.
    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. Lightwood, James & Glantz, Stanton A., 2011. "Predicted Effect of California Tobacco Control Funding on Smoking Prevalence, Cigarette Consumption, and Healthcare Costs, 2012-2016," University of California at San Francisco, Center for Tobacco Control Research and Education qt6j03515p, Center for Tobacco Control Research and Education, UC San Francisco.

    More about this item

    Keywords

    Instrumental variables estimator; persistent instruments; near-to-unit roots.;

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

    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:may:mayecw:n1620106.pdf. 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: (). General contact details of provider: http://edirc.repec.org/data/demayie.html .

    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.