Investigating the stationarity hypothesis of Gross Domestic Product per capita in Central and Eastern Europe and Commonwealth of Independent State countries: Evidence using Fourier based panel KPSS test

Published date01 August 2020
DOIhttp://doi.org/10.1002/pa.2104
Date01 August 2020
ACADEMIC PAPER
Investigating the stationarity hypothesis of Gross Domestic
Product per capita in Central and Eastern Europe and
Commonwealth of Independent State countries: Evidence
using Fourier based panel KPSS test
Aviral Kumar Tiwari
1,2
| Hemachandra Padhan
3
| Abdulkareem Alhassan
4,5
|
Festus Victor Bekun
6,7
1
Rajagiri Business School, Rajagiri Valley
Campus, Kochi, India
2
Administration, Higher School of Economics and
Management, South Ural State University, Lenin
Prospect 76, Chelyabinsk, Russian Federation
3
Department of Humanities and Social
Sciences, Indian Institute of Technology (IIT)
Madras, Chennai, India
4
Faculty of Business and Economics, Department
of Economics, Famagusta, Eastern Mediterranean
University, North Cyprus, Turkey
5
Department of Economics, Federal University
Lafia, Lafia, Nigeria
6
Faculty of Economics Administrative and
Social sciences, Istanbul Gelisim University,
Istanbul, Turkey
7
Department of Accounting, Analysis and Audit,
School of Economics and Management, South
Ural State University, Chelyabinsk, Russi a
Correspondence
Festus Victor Bekun, Faculty of Economics
Administrative and Social sciences, Istanbul
Gelisim University, Istanbul, Turkey.
Email: festus.bekun@emu.edu.tr
Using annual data from 1985 to 2016, the study conducts a robust panel stationarity
analysis by accounting for cross-sectional dependency, sharp breaks and gradual
structural shifts for per capita Gross Domestic Product (PCGDP) of Central and East-
ern Europe (CEE) and Commonwealth of Independent State (CIS) countries. The
empirical finding reveals that PCGDP at different Fourier frequency and model struc-
ture (trend or constant) for both CEE and CIS countries are unit root process. More-
over, the PCGDP of CEE and CIS countries are nonmean reverting in the presence of
cross-sectional dependence and gradual structural shifts which previous studies using
well-known panel stationarity estimators fail to find. Policy insights are highlighted in
the conclusion section.
1|BACKGROUND OF THE STUDY
This study investigates the stationarity and asymptotic properties of per
capita Gross Domestic Product (PCGDP) for the case of Central and East-
ern Europe (CEE) and Commonwealth of Independent State (CIS) coun-
tries. The CEE countries are capturing 4% growth rate of the world.
1
The
CEE countries not only accelerate growth rate, but also focus on innova-
tions through investment in research and development in solving struc-
tural problems particularly unemployment and poverty. On the other side,
CIS countries are contributing 4.9% to the world Gross Domestic Product
(GDP) in term of PPP.
2
The current study also seeks to conduct a more
robust and powerful test of the null hypothesis of stationarity against an
alternative of nonstationarity (unit root) for PCGDP in both CEE and CIS
countries by the adoption of Fourier panel statistics
3
Fp(k). Furthermore,
we also conduct Im, Lee, and Tieslau (2005) and Hadri and Rao (2008)
proposed panel LM unit root tests and in comparison, with the Fourier
approximation test that account for cross-sectional dependence (CSD)
and gradual structural shifts for CEE and CIS countries.
The choice of CIS and CEE countries is motivated by the dynamic
characterization in the blocs.
4
The CIS countries are an offshoot of
the breakup of the Soviet Union. Many of the countries in the panel
of CIS countries are in their transition period towards the market-
based economy. However, there is still a noticeable disparity in the
individual countries in terms of economic and development dynamics.
For instance, Russian federation economic performance overruns
Tajikistan and Kazakhstan in same bloc. While on the other hand, for
the CEE countries, there exist similarity in their economic nature as
most member states have undergone significant political and
Received: 13 September 2019 Revised: 26 November 2019 Accepted: 26 February 2020
DOI: 10.1002/pa.2104
J Public Affairs. 2020;20:e2104. wileyonlinelibrary.com/journal/pa © 2020 John Wiley & Sons, Ltd 1of13
https://doi.org/10.1002/pa.2104

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