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On the size of the DF-GLS test

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  • Dimitrios Vougas

Abstract

Using Monte Carlo simulation, the size of the DF-GLS test is examined when there is a neglected level or trend break under the null hypothesis. Unlike the original DF test, the DF-GLS test has size which is not distorted/inflated.

Suggested Citation

  • Dimitrios Vougas, 2008. "On the size of the DF-GLS test," Applied Economics Letters, Taylor & Francis Journals, vol. 15(10), pages 777-780.
    • Handle: RePEc:taf:apeclt:v:15:y:2008:i:10:p:777-780
    DOI: 10.1080/13504850600749115
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    Cited by:

    1. P. S. Sephton, 2012. "Breaking deterministics, test size and the efficient Wald test for fractional unit roots," Applied Economics Letters, Taylor & Francis Journals, vol. 19(1), pages 83-85, January.
    2. Cui, Yu & Khan, Sufyan Ullah & Sauer, Johannes & Kipperberg, Gorm & Zhao, Minjuan, 2023. "Agricultural carbon footprint, energy utilization and economic quality: What causes what, and where?," Energy, Elsevier, vol. 278(PA).
    3. Aviral Tiwari & Muhammad Shahbaz, 2014. "Revisiting Purchasing Power Parity for India using threshold cointegration and nonlinear unit root test," Economic Change and Restructuring, Springer, vol. 47(2), pages 117-133, May.
    4. Chor Foon Tang & Kean Siang Ch’ng, 2012. "A Multivariate Analysis of the Nexus between Savings and Economic Growth in the ASEAN-5 Economies," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 6(3), pages 385-406, August.
    5. Lau, Evan & Puah, Chin-Hong & Oh, Swee-Ling & Lo, Yan-Ching, 2008. "Causality between White Pepper and Black Pepper: Evidence from Six Markets in Sarawak," MPRA Paper 6552, University Library of Munich, Germany.

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