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CIPS test for Unit Root in Panel Data: further Monte Carlo results

Author

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  • Andrea Cerasa

    (University "La Sapienza" of Rome)

Abstract

This paper analyzes, through Monte Carlo experiments, the behaviour of Pesaran's CIPS test for the null of a unit root in panel data when (i) the assumption of a single common factor in the specification of the cross-section dependence is violated and (ii) the autoregressive order of the residuals is estimated. The simulation analysis points to the single common factor as a fundamental assumption for a suitable behaviour of the CIPS test and suggests that the test delivers the best performance when the truncation lag is estimated as a deterministic function of the sample size.

Suggested Citation

  • Andrea Cerasa, 2008. "CIPS test for Unit Root in Panel Data: further Monte Carlo results," Economics Bulletin, AccessEcon, vol. 3(16), pages 1-13.
    • Handle: RePEc:ebl:ecbull:eb-07c20091
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    References listed on IDEAS

    as
    1. 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.
    2. Galor, Oded, 1996. "Convergence? Inferences from Theoretical Models," Economic Journal, Royal Economic Society, vol. 106(437), pages 1056-1069, July.
    3. Ben-David, Dan, 1994. "Convergence Clubs and Diverging Economies," CEPR Discussion Papers 922, C.E.P.R. Discussion Papers.
    4. Serena Ng & Pierre Perron, 2001. "LAG Length Selection and the Construction of Unit Root Tests with Good Size and Power," Econometrica, Econometric Society, vol. 69(6), pages 1519-1554, November.
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    Cited by:

    1. Bilgehan Tekin, 2021. "The Factors Affecting the Market Value/Book Value and Profitability of REITs in Turkey," International Real Estate Review, Global Social Science Institute, vol. 24(3), pages 469-499.
    2. Shigeyuki Hamori & Yoshihiro Hashiguchi, 2012. "Small sample properties of CIPS panel unit root test under conditional and unconditional heteroskedasticity," Economics Bulletin, AccessEcon, vol. 32(3), pages 2353-2365.
    3. Chengete Chakamera & Paul Alagidede, 2018. "Electricity crisis and the effect of CO2 emissions on infrastructure-growth nexus in Sub Saharan Africa," Working Papers 731, Economic Research Southern Africa.
    4. Jeffrey Kouton & Sulpice Amonle, 2021. "Global value chains, labor productivity, and inclusive growth in Africa: empirical evidence from heterogeneous panel methods," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 23(1), pages 1-23, June.
    5. Gökhan Konat & Fatma Zeren, 2021. "Is Real Gross Domestic Product (GDP) Series Stationary in EU Countries? Evidence from the RALS-CIPS Test," Economics Bulletin, AccessEcon, vol. 41(3), pages 1813-1825.
    6. Chakamera, Chengete & Alagidede, Paul, 2018. "Electricity crisis and the effect of CO2 emissions on infrastructure-growth nexus in Sub Saharan Africa," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 945-958.

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    JEL classification:

    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables

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