IDEAS home Printed from https://ideas.repec.org/p/kud/kuieca/2003_11.html
   My bibliography  Save this paper

Using GMM when testing for a unit root in panels where the time-series dimension is fixed

Author

Listed:
  • Edith Madsen

    (Institute of Economics, University of Copenhagen)

Abstract

In this paper we investigate GMM-based unit root inference in an autoregressive panel data model with individual-specific levels. We consider tests based on GMM estimators of the AR parameter and moment condition tests. The limiting distributions of the corresponding test statistics are derived when the AR parameter is unity and local-to-unity. This provides information about which statistics lead to valid test procedures. The performance of the valid tests in terms of their local power can then be compared. The results show that the GMM estimator of the AR parameter based on the Arellano-Bover type moment conditions, expressing that lagged differences are used as instruments for the equations in levels, can be used to detect a unit root. On the other hand, the widely used GMM estimator of the AR parameter based on the Arellano-Bond type moment conditions, expressing that lagged levels are used as instruments for the equations in first-differences, can not be used for this purpose. Instead a moment condition test of the hypothesis that the Arellano-Bond type moment conditions do not identify the AR parameter is valid as a unit root test. Finally, a simulation study demonstrates that the local power of the tests provides good approximations of their actual power in finite samples.

Suggested Citation

  • Edith Madsen, 2003. "Using GMM when testing for a unit root in panels where the time-series dimension is fixed," CAM Working Papers 2003-11, University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics.
    • Handle: RePEc:kud:kuieca:2003_11
    as

    Download full text from publisher

    File URL: http://www.econ.ku.dk/cam/wp0910/wp0203/2003-11.pdf/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Holtz-Eakin, Douglas & Newey, Whitney & Rosen, Harvey S, 1988. "Estimating Vector Autoregressions with Panel Data," Econometrica, Econometric Society, vol. 56(6), pages 1371-1395, 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. Kruiniger, Hugo, 2009. "Gmm Estimation And Inference In Dynamic Panel Data Models With Persistent Data," Econometric Theory, Cambridge University Press, vol. 25(5), pages 1348-1391, October.
    2. Kruiniger, Hugo, 2009. "Gmm Estimation And Inference In Dynamic Panel Data Models With Persistent Data," Econometric Theory, Cambridge University Press, vol. 25(5), pages 1348-1391, October.

    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. Ilona Babenko & Benjamin Bennett & John M Bizjak & Jeffrey L Coles & Jason J Sandvik, 2023. "Clawback Provisions and Firm Risk," The Review of Corporate Finance Studies, Society for Financial Studies, vol. 12(2), pages 191-239.
    2. Kitazawa, Yoshitsugu, 2001. "Exponential regression of dynamic panel data models," Economics Letters, Elsevier, vol. 73(1), pages 7-13, October.
    3. Jessica M. Mc Lay & Roy Lay-Yee & Barry J. Milne & Peter Davis, 2015. "Regression-Style Models for Parameter Estimation in Dynamic Microsimulation: An Empirical Performance Assessment," International Journal of Microsimulation, International Microsimulation Association, vol. 8(2), pages 83-127.
    4. Hany Eldemerdash & Hugh Metcalf & Sara Maioli, 2014. "Twin deficits: new evidence from a developing (oil vs. non-oil) countries’ perspective," Empirical Economics, Springer, vol. 47(3), pages 825-851, November.
    5. Heng, Dyna, 2011. "Capital flows and real exchange rate: does financial development matter?," MPRA Paper 48553, University Library of Munich, Germany, revised May 2012.
    6. Fali Huang & Myoung-Jae Lee, 2010. "Dynamic treatment effect analysis of TV effects on child cognitive development," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(3), pages 392-419.
    7. Fernando Mayoral & Carlos Garcimartín, 2013. "The impact of population on the reduction of steady-state disparities across Spanish regions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 50(1), pages 49-69, February.
    8. Dalila Nicet-Chenaf & Eric Rougier, 2009. "Human capital and structural change: how do they interact with each others in growth," Post-Print hal-00798441, HAL.
    9. Valérie Mignon & Christophe Hurlin, 2007. "Une synthèse des tests de cointégration sur données de panel," Économie et Prévision, Programme National Persée, vol. 180(4), pages 241-265.
    10. Ouyang, Yaofu & Li, Peng, 2018. "On the nexus of financial development, economic growth, and energy consumption in China: New perspective from a GMM panel VAR approach," Energy Economics, Elsevier, vol. 71(C), pages 238-252.
    11. Martin Andersson & Hans Lööf, 2009. "Learning‐by‐Exporting Revisited: The Role of Intensity and Persistence," Scandinavian Journal of Economics, Wiley Blackwell, vol. 111(4), pages 893-916, December.
    12. Toru Yoshikawa & Abdul A. Rasheed, 2010. "Family Control and Ownership Monitoring in Family‐Controlled Firms in Japan," Journal of Management Studies, Wiley Blackwell, vol. 47(2), pages 274-295, March.
    13. William Greene, 2001. "Estimating Econometric Models With Fixed Effects," Working Papers 01-10, New York University, Leonard N. Stern School of Business, Department of Economics.
    14. Shaukat, Badiea & Zhu, Qigui & Khan, M. Ijaz, 2019. "Real interest rate and economic growth: A statistical exploration for transitory economies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    15. Stavros E. Arvanitis & Theodoros V. Stamatopoulos & Dimitris Terzakis, 2018. "Is There a Non-linear Relationship of Market Value with Cash and Ownership?," SPOUDAI Journal of Economics and Business, SPOUDAI Journal of Economics and Business, University of Piraeus, vol. 68(1), pages 3-25, January-M.
    16. Kazemzadeh, Emad & Fuinhas, José Alberto & Koengkan, Matheus & Shadmehri, Mohammad Taher Ahmadi, 2023. "Relationship between the share of renewable electricity consumption, economic complexity, financial development, and oil prices: A two-step club convergence and PVAR model approach," International Economics, Elsevier, vol. 173(C), pages 260-275.
    17. Nigel Driffield & Sourafel Girma, 2003. "Regional Foreign Direct Investment and Wage Spillovers: Plant Level Evidence from the UK Electronics Industry," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 65(4), pages 453-474, September.
    18. Whitney K. Newey & Frank Windmeijer, 2005. "GMM with many weak moment conditions," CeMMAP working papers CWP18/05, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    19. Campos, Nauro & Nugent, Jeffrey B, 2000. "Investment and Instability," CEPR Discussion Papers 2609, C.E.P.R. Discussion Papers.
    20. Troske, Kenneth R. & Voicu, Alexandru, 2010. "Joint estimation of sequential labor force participation and fertility decisions using Markov chain Monte Carlo techniques," Labour Economics, Elsevier, vol. 17(1), pages 150-169, January.

    More about this item

    Keywords

    dynamic panel data model; unit roots; GMM estimation; local alternatives; weak instruments;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

    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:kud:kuieca:2003_11. 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: Thomas Hoffmann (email available below). General contact details of provider: https://edirc.repec.org/data/camkudk.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.