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Unit roots: identification and testing in micro panels

Author

Listed:
  • Stephen Bond

    () (Institute for Fiscal Studies and Nuffield College, Oxford)

  • Céline Nauges

    (Institute for Fiscal Studies)

  • Frank Windmeijer

    () (Institute for Fiscal Studies and University of Bristol)

Abstract

We consider a number of unit root tests for micro panels where the number of individuals is typically large, but the number of time periods is often very small. As we discuss, the presence of a unit root is closely related to the identification of parameters of interest in this context. Calculations of asymptotic local power and Monte Carlo evidence indicate that two simple t-tests based on ordinary least squares estimators perform particularly well.

Suggested Citation

  • Stephen Bond & Céline Nauges & Frank Windmeijer, 2005. "Unit roots: identification and testing in micro panels," CeMMAP working papers CWP07/05, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  • Handle: RePEc:ifs:cemmap:07/05
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    File URL: http://cemmap.ifs.org.uk/wps/cwp0705.pdf
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    References listed on IDEAS

    as
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    Citations

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    1. Dennis Essers & Hans J. Blommestein & Danny Cassimon & Perla Ibarlucea Flores, 2016. "Local Currency Bond Market Development in Sub-Saharan Africa: A Stock-Taking Exercise and Analysis of Key Drivers," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 52(5), pages 1167-1194, May.
    2. Marco Corsino, 2008. "Product Innovation and Growth: The Case of Integrated Circuits," ROCK Working Papers 047, Department of Computer and Management Sciences, University of Trento, Italy, revised 23 Jun 2008.
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    4. Persson, Lovisa, 2013. "Consumption smoothing in a balanced budget regim," Working Paper Series 2013:19, Uppsala University, Department of Economics.
    5. Kruiniger, Hugo, 2013. "Quasi ML estimation of the panel AR(1) model with arbitrary initial conditions," Journal of Econometrics, Elsevier, vol. 173(2), pages 175-188.
    6. Jo Seldeslachts & Joseph A. Clougherty & Pedro Pita Barros, 2007. "Remedy for Now but Prohibit for Tomorrow: The Deterrence Effects of Merger Policy Tools," CIG Working Papers SP II 2007-02, Wissenschaftszentrum Berlin (WZB), Research Unit: Competition and Innovation (CIG).
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    8. Kruiniger, Hugo, 2009. "Gmm Estimation And Inference In Dynamic Panel Data Models With Persistent Data," Econometric Theory, Cambridge University Press, vol. 25(05), pages 1348-1391, October.
    9. Quintana-Domeque, Climent & Wohlfart, Johannes, 2016. "“Relative concerns for consumption at the top”: An intertemporal analysis for the UK," Journal of Economic Behavior & Organization, Elsevier, vol. 129(C), pages 172-194.
    10. Yiannis Karavias & Elias Tzavalis, "undated". "The local power of fixed-T panel unit root tests allowing for serially correlated errors," Discussion Papers 12/01, University of Nottingham, Granger Centre for Time Series Econometrics.
    11. Délio José Cordeiro Galvão & Helder Ferreira De Mendonça & Renato Falci Villela Loures, 2011. "Economic Activity And Financialinstitutional Risk: An Empirical Analysis For The Banking Industry," Anais do XXXVIII Encontro Nacional de Economia [Proceedings of the 38th Brazilian Economics Meeting] 088, ANPEC - Associação Nacional dos Centros de Pósgraduação em Economia [Brazilian Association of Graduate Programs in Economics].
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    14. Joakim Westerlund & Jörg Breitung, 2013. "Lessons from a Decade of IPS and LLC," Econometric Reviews, Taylor & Francis Journals, vol. 32(5-6), pages 547-591, August.
    15. Stefan De Wachter & Richard D.F. Harris & Elias Tzavalis, 2005. "Panel Data Unit Roots Tests: The Role of Serial Correlation and the Time Dimension," Working Papers 550, Queen Mary University of London, School of Economics and Finance.
    16. Robertson, Donald & Sarafidis, Vasilis & Westerlund, Joakim, 2014. "GMM Unit Root Inference in Generally Trending and Cross-Correlated Dynamic Panels," MPRA Paper 53419, University Library of Munich, Germany.
    17. Enrique Benito, 2008. "Size, growth and bank dynamics," Working Papers 0801, Banco de España;Working Papers Homepage.
    18. Esposito, Piero, 2017. "Trade creation, trade diversion and imbalances in the EMU," Economic Modelling, Elsevier, vol. 60(C), pages 462-472.
    19. Markus Eberhardt & Christian Helmers, 2010. "Untested Assumptions and Data Slicing: A Critical Review of Firm-Level Production Function Estimators," Economics Series Working Papers 513, University of Oxford, Department of Economics.
    20. Helder Mendonça & Renato Villela Loures, 2009. "Market discipline in the Brazilian banking industry: an analysis for the subordinated debt holders," Journal of Regulatory Economics, Springer, vol. 36(3), pages 286-307, December.
    21. Arturas Juodis, 2013. "First Difference Transformation in Panel VAR models: Robustness, Estimation and Inference," UvA-Econometrics Working Papers 13-06, Universiteit van Amsterdam, Dept. of Econometrics.
    22. Lovisa Persson, 2016. "Government consumption smoothing in a balanced budget regime," International Tax and Public Finance, Springer;International Institute of Public Finance, pages 289-315.
    23. Maurice J.G. Bun & Frank Kleibergen, 2013. "Identification and inference in moments based analysis of linear dynamic panel data models," UvA-Econometrics Working Papers 13-07, Universiteit van Amsterdam, Dept. of Econometrics.
    24. Kruiniger, Hugo, 2008. "Maximum likelihood estimation and inference methods for the covariance stationary panel AR(1)/unit root model," Journal of Econometrics, Elsevier, vol. 144(2), pages 447-464, June.

    More about this item

    Keywords

    Generalised Method of Moments; identification; unit root tests;

    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

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