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Is Per Capıta Real GDP Stationary in High Income OECD Countrıes? Evidence from Panel Unıt Root Test With Multiple Structural Breaks

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  • Dogru, Bülent

Abstract

Aim of this study is to analyze the non-stationarity of real GDP levels using recently developed Carrion-i Silvestre et al. (2005) panel unit root test allowing different number of structural breaks in panel. For this purpose, this test is applied to panel data of per capita GDP of 20 high income OECD countries covering the time period of 1961 through 2012. Individual time series and first generation panel unit root tests are also employed to make a comparison. Results indicate that per capita GDP series is non-stationary for many OECD countries. This implies that any shock given to per capita GDP will have a long lasting impact on the macroeconomic variable

Suggested Citation

  • Dogru, Bülent, 2015. "Is Per Capıta Real GDP Stationary in High Income OECD Countrıes? Evidence from Panel Unıt Root Test With Multiple Structural Breaks," MPRA Paper 63856, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:63856
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    References listed on IDEAS

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    1. Pei-Long Shen & Chih-Wei Su & Hsu-Ling Chang, 2013. "Are real GDP levels nonstationary across Central and Eastern European countries?," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 13(1), pages 99-108, July.
    2. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    3. Zivot, Eric & Andrews, Donald W K, 2002. "Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 25-44, January.
    4. David E. Rapach, 2002. "Are Real GDP Levels Nonstationary? Evidence from Panel Data Tests," Southern Economic Journal, John Wiley & Sons, vol. 68(3), pages 473-495, January.
    5. Ivan O. KITOV & Oleg I. KITOV & Svetlana A. DOLINSKAYA, 2009. "Modelling Real Gdp Per Capita In The Usa:Cointegration Tests," Journal of Applied Economic Sciences, Spiru Haret University, Faculty of Financial Management and Accounting Craiova, vol. 4(1(7)_ Spr).
    6. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    7. Tsangyao Chang & Hsu-Ling Chang & Hsiao-Ping Chu & Chi-Wei Su, 2006. "Is per capita real GDP stationary in African countries? Evidence from panel SURADF test," Applied Economics Letters, Taylor & Francis Journals, vol. 13(15), pages 1003-1008.
    8. Paresh Kumar Narayan & Seema Narayan, 2010. "Is there a unit root in the inflation rate? New evidence from panel data models with multiple structural breaks," Applied Economics, Taylor & Francis Journals, vol. 42(13), pages 1661-1670.
    9. Josep Lluís Carrion-i-Silvestre & Tomás del Barrio-Castro & Enrique López-Bazo, 2005. "Breaking the panels: An application to the GDP per capita," Econometrics Journal, Royal Economic Society, vol. 8(2), pages 159-175, July.
    10. Kaddour Hadri, 2000. "Testing for stationarity in heterogeneous panel data," Econometrics Journal, Royal Economic Society, vol. 3(2), pages 148-161.
    11. Chi-Wei Su & Yi-Sung Huang & Peirchyi Lii & Ning-Jun Zhang, 2007. "IS Per Capita Real GDP Stationary in China¡H Evidence Based on A Panel SURADF Approach," Economics Bulletin, AccessEcon, vol. 3(31), pages 1-12.
    12. Andrews, Donald W K, 1991. "Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimation," Econometrica, Econometric Society, vol. 59(3), pages 817-858, May.
    13. Smyth, Russell & Inder, Brett, 2004. "Is Chinese provincial real GDP per capita nonstationary?: Evidence from multiple trend break unit root tests," China Economic Review, Elsevier, vol. 15(1), pages 1-24.
    14. Donggyu Sul & Peter C. B. Phillips & Chi‐Young Choi, 2005. "Prewhitening Bias in HAC Estimation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 67(4), pages 517-546, August.
    15. Andrews, Donald W K & Monahan, J Christopher, 1992. "An Improved Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimator," Econometrica, Econometric Society, vol. 60(4), pages 953-966, July.
    16. Fleissig, Adrian R. & Strauss, Jack, 1999. "Is OECD real per capita GDP trend or difference stationary? Evidence from panel unit root tests," Journal of Macroeconomics, Elsevier, vol. 21(4), pages 673-689.
    17. repec:ebl:ecbull:v:3:y:2007:i:31:p:1-12 is not listed on IDEAS
    18. Paresh Narayan, 2008. "Is Asian per capita GDP panel stationary?," Empirical Economics, Springer, vol. 34(3), pages 439-449, June.
    19. Bulent Guloglu & Mehmet Ivrendi, 2010. "Output fluctuations: transitory or permanent? the case of Latin America," Applied Economics Letters, Taylor & Francis Journals, vol. 17(4), pages 381-386.
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    More about this item

    Keywords

    Per capita real GDP; panel stationary tests; Carrion-I Silvestre et al. (2005);
    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

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