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Is Per Capita Real GDP Stationary? Evidence from Selected African Countries Based on More Powerful Nonlinear (Logistic) Unit Root Tests

Author

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  • Tsangyao Chang

    (Department of Economics, Feng Chia University, Taichung, Taiwan)

  • Ching-Chun Wei

    (Department of Finance, Providence University, Taichung, Taiwan)

  • Chien-Chung Nieh

    (Department of Banking and Finance, Tamkang University, Taipei Taiwan)

Abstract

In this study we use a more powerful nonlinear (logistic) unit root test advanced by Leybourne et al. (1998) to investigate the time-series propertities of per capita real GDP for 26 selected African countries for the period 1960-2000. We strongly reject the null of unit root process for over one-third the countries. These empirical results have important policy implications for selected African countries.

Suggested Citation

  • Tsangyao Chang & Ching-Chun Wei & Chien-Chung Nieh, 2005. "Is Per Capita Real GDP Stationary? Evidence from Selected African Countries Based on More Powerful Nonlinear (Logistic) Unit Root Tests," Economics Bulletin, AccessEcon, vol. 3(24), pages 1-9.
  • Handle: RePEc:ebl:ecbull:eb-05c20014
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    References listed on IDEAS

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    1. 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.
    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. 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.
    4. Stephen Leybourne & Paul Newbold & Dimitrios Vougas, 1998. "Unit roots and smooth transitions," Journal of Time Series Analysis, Wiley Blackwell, vol. 19(1), pages 83-97, January.
    5. Perron, Pierre, 1989. "The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis," Econometrica, Econometric Society, vol. 57(6), pages 1361-1401, November.
    6. Cheung, Yin-Wong & Chinn, Menzie David, 1996. "Deterministic, Stochastic, and Segmented Trends in Aggregate Output: A Cross-Country Analysis," Oxford Economic Papers, Oxford University Press, vol. 48(1), pages 134-162, January.
    7. Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-836, July.
    8. Nelson, Charles R. & Plosser, Charles I., 1982. "Trends and random walks in macroeconmic time series : Some evidence and implications," Journal of Monetary Economics, Elsevier, vol. 10(2), pages 139-162.
    9. 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.
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    Citations

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    Cited by:

    1. Juan Cuestas & Dean Garratt, 2011. "Is real GDP per capita a stationary process? Smooth transitions, nonlinear trends and unit root testing," Empirical Economics, Springer, vol. 41(3), pages 555-563, December.
    2. Vasudeva N. R. Murthy & Emmanuel Anoruo, 2009. "Are Per Capita Real GDP Series in African Countries Non-stationary or Non-linear? What does Empirical Evidence Reveal?," Economics Bulletin, AccessEcon, vol. 29(4), pages 2492-2504.
    3. Mishra, Vinod & Sharma, Susan & Smyth, Russell, 2009. "Are fluctuations in energy consumption per capita transitory? Evidence from a panel of Pacific Island countries," Energy Policy, Elsevier, vol. 37(6), pages 2318-2326, June.
    4. Evans, Olaniyi, 2018. "Improved Financial Performance Without Improved Operational Efficiency: The Case of Nigerian Firms," MPRA Paper 118202, University Library of Munich, Germany.
    5. Gil-Alana, Luis A. & Mudida, Robert & Zerbo, Eleazar, 2021. "GDP per capita IN SUB-SAHARAN Africa: A time series approach using long memory," International Review of Economics & Finance, Elsevier, vol. 72(C), pages 175-190.
    6. Chang, Tsangyao & Chu, Hsiao-Ping & Ranjbar, Omid, 2014. "Are GDP fluctuations transitory or permanent in African countries? Sequential Panel Selection Method," International Review of Economics & Finance, Elsevier, vol. 29(C), pages 380-399.
    7. 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.
    8. Kumar Tiwari, Aviral & Shahbaz, Muhammad & Shahbaz Shabbir , Muhammad, 2012. "Is Per Capita GDP Non-linear Stationary in SAARC Countries?," European Economic Letters, European Economics Letters Group, vol. 1(1), pages 1-5.
    9. Hanifi FIRAT, 2016. "Is Real Gdp Stationary? Evidence From Some Unit Root Tests For The Advanced Economies," Journal of Social and Economic Statistics, Bucharest University of Economic Studies, vol. 5(2), pages 60-80, DECEMBER.
    10. Romero-Ávila, Diego, 2009. "Multiple Breaks, Terms of Trade Shocks and the Unit-Root Hypothesis for African Per Capita Real GDP," World Development, Elsevier, vol. 37(6), pages 1051-1068, June.
    11. Noriega Antonio E. & Rodríguez-Pérez Cid Alonso, 2011. "Stationarity, structural breaks, and economic growth in Mexico: 1895-2008," Working Papers 2011-11, Banco de México.

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    JEL classification:

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

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