Are Per Capita Real GDP Series in African Countries Non-stationary or Non-linear? What does Empirical Evidence Reveal?
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Cited by:
- Lyócsa, Štefan & Výrost, Tomáš & Baumöhl, Eduard, 2011. "Unit-root and stationarity testing with empirical application on industrial production of CEE-4 countries," MPRA Paper 29648, University Library of Munich, Germany.
- 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.
- Tiwari, Aviral & Shahbaz, Muhammad & Shabbir, Muhammad, 2011. "Is per capita GDP non-linear stationary in SAARC countries?," MPRA Paper 29109, University Library of Munich, Germany.
- Phiri, Andrew, 2018.
"Robust analysis of convergence in per capita GDP in BRICS economies,"
MPRA Paper
86936, University Library of Munich, Germany.
- Andrew Phiri, 2018. "Robust analysis of convergence in per capita GDP in BRICS economies," Working Papers 1822, Department of Economics, Nelson Mandela University.
- K. Suresh & Aviral Tiwari, 2013. "Are Shocks to Real Output Permanent or Transitory? Evidence from a Panel of “Asean” Per Capita GDP Data," Transition Studies Review, Springer;Central Eastern European University Network (CEEUN), vol. 20(2), pages 149-157, October.
- 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.
- 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.
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More about this item
Keywords
Mean reversion; non-linear unit root tests; GDP per capita;All these keywords.
JEL classification:
- E1 - Macroeconomics and Monetary Economics - - General Aggregative Models
- C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
Statistics
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