IDEAS home Printed from https://ideas.repec.org/a/bla/obuest/v75y2013i2p297-306.html
   My bibliography  Save this article

Spurious Fixed Effects Regression

Author

Listed:
  • In Choi

Abstract

This paper shows that spurious regression results can occur for a fixed effects model with weak time series variation in the regressor and/or strong time se- ries variation in the regression errors when the first-differenced and Within-OLS estimators are used. Asymptotic properties of these estimators and the related t-tests and model selection criteria are studied by sending the number of cross- sectional observations to infinity. This paper shows that the first-differenced and Within-OLS estimators diverge in probability, that the related t-tests are incon- sistent, that R2s converge to zero in probability and that AIC and BIC diverge to ??1 in probability. The results of the paper warn that one should not jump to the use of fixed effects regressions without considering the degree of time series variations in the data.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • In Choi, 2013. "Spurious Fixed Effects Regression," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(2), pages 297-306, April.
    • Handle: RePEc:bla:obuest:v:75:y:2013:i:2:p:297-306
    DOI: 10.1111/obes.2013.75.issue-2
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/10.1111/obes.2013.75.issue-2
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1111/obes.2013.75.issue-2?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 look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Hendry, David F, 1986. "Econometric Modelling with Cointegrated Variables: An Overview," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 48(3), pages 201-212, August.
    2. Granger, C. W. J. & Newbold, P., 1974. "Spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 2(2), pages 111-120, July.
    3. Aldrich, J., 1995. "Correlations genuine and spurious in Pearson and Yule," Discussion Paper Series In Economics And Econometrics 9502, Economics Division, School of Social Sciences, University of Southampton.
    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. Victor Esteban Jarosiewicz & David Gaddis Ross, 2023. "Revisiting managerial “style”: The replicability and falsifiability of manager fixed effects for firm policies," Strategic Management Journal, Wiley Blackwell, vol. 44(3), pages 858-886, March.
    2. Stefano Bonini & Justin Deng & Mascia Ferrari & Kose John & David Gaddis Ross, 2022. "Long‐tenured independent directors and firm performance," Strategic Management Journal, Wiley Blackwell, vol. 43(8), pages 1602-1634, August.

    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. Cook, Steven, 2007. "A threshold cointegration test with increased power," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 73(6), pages 386-392.
    2. repec:rdg:wpaper:em-dp2013-03 is not listed on IDEAS
    3. Foders, Federico & Glismann, Hans H., 1992. "Explaining the Argentine growth paradox: new evidence applying cointegration techniques," Kiel Working Papers 506, Kiel Institute for the World Economy (IfW Kiel).
    4. E. Milner-Gulland, 1993. "An econometric analysis of consumer demand for ivory and rhino horn," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 3(1), pages 73-95, February.
    5. Levent KORAP, 2008. "Exchange Rate Determination Of Tl/Us$:A Co-Integration Approach," Istanbul University Econometrics and Statistics e-Journal, Department of Econometrics, Faculty of Economics, Istanbul University, vol. 7(1), pages 24-50, May.
    6. Udo, Eli A. & Obiora, Isitua K., 2006. "Determinants of Foreign Direct Investment and Economic Growth in the West African Monetary Zone: A System Equations Approach," Conference papers 331519, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    7. PHILIP E.T. LEWIS & GARRY A. MacDONALD, 1993. "Testing for Equilibrium in the Australian Wage Equation," The Economic Record, The Economic Society of Australia, vol. 69(3), pages 295-304, September.
    8. Russell Davidson & Victoria Zinde‐Walsh, 2017. "Advances in specification testing," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 50(5), pages 1595-1631, December.
    9. Esther Stroe-Kunold & Joachim Werner, 2009. "A drunk and her dog: a spurious relation? Cointegration tests as instruments to detect spurious correlations between integrated time series," Quality & Quantity: International Journal of Methodology, Springer, vol. 43(6), pages 913-940, November.
    10. Goldberg, Michael D. & Frydman, Roman, 1996. "Empirical exchange rate models and shifts in the co-integrating vector," Structural Change and Economic Dynamics, Elsevier, vol. 7(1), pages 55-78, March.
    11. Carlos Acevedo, 2000. "Mecanismos de transmisión de política monetaria con liberalización financiera: El Salvador en los noventa," Monetaria, CEMLA, vol. 0(4), pages 361-412, octubre-d.
    12. Cheng, Benjamin S., 1999. "Beyond the purchasing power parity: testing for cointegration and causality between exchange rates, prices, and interest rates," Journal of International Money and Finance, Elsevier, vol. 18(6), pages 911-924, December.
    13. Erhan Cankal, 2015. "Relationship Between Stock Market Returns and Macroeconomic Variables: Evidence from Turkey," Journal of Economics and Behavioral Studies, AMH International, vol. 7(5), pages 6-18.
    14. Hari S. Luitel & Gerry J. Mahar, 2016. "Algebra of Integrated Time Series: Evidence from Unit Root Analysis," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 22(2), pages 199-209, May.
    15. Carone, Giuseppe, 1996. "Modeling the U.S. demand for imports through cointegration and error correction," Journal of Policy Modeling, Elsevier, vol. 18(1), pages 1-48, February.
    16. Charles G. Renfro, 2009. "The Practice of Econometric Theory," Advanced Studies in Theoretical and Applied Econometrics, Springer, number 978-3-540-75571-5.
    17. Ogundeji, A.A. & Jooste, A. & Oyewumi, O.A., 2011. "An error correction approach to modelling beef supply response in South Africa," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 50(2), September.
    18. Bevilacqua, Franco, 2006. "Random walks and cointegration relationships in international parity conditions between Germany and USA for the post Bretton-Woods period," MERIT Working Papers 2006-012, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    19. Ambler, Steve, 1989. "La stationnarité en économétrie et en macroéconomique : un guide pour les non initiés," L'Actualité Economique, Société Canadienne de Science Economique, vol. 65(4), pages 590-609, décembre.
    20. repec:ags:ijag24:347271 is not listed on IDEAS
    21. Levent, Korap, 2007. "Testing causal relationships between energy consumption, real income and prices: evidence from Turkey," MPRA Paper 21834, University Library of Munich, Germany.
    22. Bontempi, Maria Elena & Bottazzi, Laura & Golinelli, Roberto, 2020. "A multilevel index of heterogeneous short-term and long-term debt dynamics," Journal of Corporate Finance, Elsevier, vol. 64(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:75:y:2013:i:2:p:297-306. 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.