IDEAS home Printed from https://ideas.repec.org/a/wei/journl/v8y2018i1p25-39.html
   My bibliography  Save this article

A Sequential Panel Selection Approach to Cointegration Analysis: An Application to Wagner’s Law for South African Provincial Data

Author

Listed:
  • Xolisa Vayi

    (Department of Economics, Nelson Mandela University, Port Elizabeth, South Africa)

  • Andrew Phiri

    (Department of Economics, Nelson Mandela University, Port Elizabeth, South Africa)

Abstract

The main aim of this study is to extend the recently introduced sequential panel selection method (SPSM) to a cointegration framework which is particularly used to investigate Wagner’s law for 9 South African provinces. We particularly apply the SPSM to the PMG and ARDL cointegration frameworks which we apply to annual data spanning from 2001 to 2016. The main findings show that when applying single country/region estimates we fail to find evidence of cointegration whereas within panel regressions, cointegration effects are present for theentire dataset. In further applying the SPSM we observed significant Wagner’s effects for panels inclusive of Gauteng, Eastern Cape and Kwazulu-Natal provinces and when these provinces are excluded from the panels, cointegration effects are unobserved.

Suggested Citation

  • Xolisa Vayi & Andrew Phiri, 2018. "A Sequential Panel Selection Approach to Cointegration Analysis: An Application to Wagner’s Law for South African Provincial Data," Economic Research Guardian, Weissberg Publishing, vol. 8(1), pages 25-39, June.
  • Handle: RePEc:wei:journl:v:8:y:2018:i:1:p:25-39
    as

    Download full text from publisher

    File URL: http://www.ecrg.ro/files/p2018.8(1)7y3.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Kojo Menyah & Yemane Wolde-Rufael, 2012. "Wagner'S Law Revisited: A Note From South Africa," South African Journal of Economics, Economic Society of South Africa, vol. 80(2), pages 200-208, June.
    2. Tsangyao Chang & Tsung-Pao Wu & Rangan Gupta, 2015. "Are house prices in South Africa really nonstationary? Evidence from SPSM-based panel KSS test with a Fourier function," Applied Economics, Taylor & Francis Journals, vol. 47(1), pages 32-53, January.
    3. E. Calitz & S.A. du Plessis & F.K. Siebrits, 2014. "Fiscal Sustainability in South Africa: Will History Repeat Itself?," Studies in Economics and Econometrics, Taylor & Francis Journals, vol. 38(3), pages 55-78, December.
    4. Chortareas, Georgios & Kapetanios, George, 2009. "Getting PPP right: Identifying mean-reverting real exchange rates in panels," Journal of Banking & Finance, Elsevier, vol. 33(2), pages 390-404, February.
    5. Narayan, Paresh Kumar & Nielsen, Ingrid & Smyth, Russell, 2008. "Panel data, cointegration, causality and Wagner's law: Empirical evidence from Chinese provinces," China Economic Review, Elsevier, vol. 19(2), pages 297-307, June.
    6. Anyikwa, Izunna & Hamman, Nicolene & Phiri, Andrew, 2018. "Persistence of suicides in G20 countries: SPSM approach to three generations of unit root tests," MPRA Paper 87790, University Library of Munich, Germany.
    7. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    8. Alan T. Peacock & Jack Wiseman, 1961. "The Growth of Public Expenditure in the United Kingdom," NBER Books, National Bureau of Economic Research, Inc, number peac61-1.
    9. Andrew Phiri, 2017. "Nonlinearities in Wagner's law: further evidence from South Africa," International Journal of Sustainable Economy, Inderscience Enterprises Ltd, vol. 9(3), pages 231-249.
    10. Kao, Chihwa, 1999. "Spurious regression and residual-based tests for cointegration in panel data," Journal of Econometrics, Elsevier, vol. 90(1), pages 1-44, May.
    11. 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.
    12. Lee, Kuei-Chiu, 2014. "Is per capita real GDP stationary in China? Sequential panel selection method," Economic Modelling, Elsevier, vol. 37(C), pages 507-517.
    13. G. S. Maddala, 1987. "Limited Dependent Variable Models Using Panel Data," Journal of Human Resources, University of Wisconsin Press, vol. 22(3), pages 307-338.
    14. Emmanuel Ziramba, 2008. "Wagner'S Law: An Econometric Test For South Africa, 1960‐2006," South African Journal of Economics, Economic Society of South Africa, vol. 76(4), pages 596-606, December.
    15. M. I. Ansari & D. V. Gordon & C. Akuamoah, 1997. "Keynes versus Wagner: public expenditure and national income for three African countries," Applied Economics, Taylor & Francis Journals, vol. 29(4), pages 543-550.
    16. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Xolisa Vayi & Andrew Phiri, 2018. "A sequential panel selection approach to cointegration analysis: An application to Wagner’s law for South Africa," Working Papers 1831, Department of Economics, Nelson Mandela University.
    2. Yoshito Funashima & Kazuki Hiraga, 2017. "Wagner’s law, fiscal discipline, and intergovernmental transfer: empirical evidence at the US and German state levels," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 24(4), pages 652-677, August.
    3. Ogali, Oscar I.O. & Okoro, Emeka E. & Olafuyi, Saburi G., 2023. "Assessing consensus on nexus between natural gas consumption and economic growth," Renewable and Sustainable Energy Reviews, Elsevier, vol. 187(C).
    4. V. Chandran Govindaraju & Ramesh Rao & Sajid Anwar, 2011. "Economic growth and government spending in Malaysia: a re-examination of Wagner and Keynesian views," Economic Change and Restructuring, Springer, vol. 44(3), pages 203-219, August.
    5. Fromentin, Vincent & Leon, Florian, 2019. "Remittances and credit in developed and developing countries: A dynamic panel analysis," Research in International Business and Finance, Elsevier, vol. 48(C), pages 310-320.
    6. Francisco García-Lillo & Eduardo Sánchez-García & Bartolomé Marco-Lajara & Pedro Seva-Larrosa, 2023. "Renewable Energies and Sustainable Development: A Bibliometric Overview," Energies, MDPI, vol. 16(3), pages 1-22, January.
    7. Myo Myo Htike & Anil Shrestha & Makoto Kakinaka, 2022. "Investigating whether the environmental Kuznets curve hypothesis holds for sectoral CO2 emissions: evidence from developed and developing countries," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(11), pages 12712-12739, November.
    8. Kojo Menyah & Yemane Wolde-Rufael, 2012. "Wagner'S Law Revisited: A Note From South Africa," South African Journal of Economics, Economic Society of South Africa, vol. 80(2), pages 200-208, June.
    9. Alimi, R. Santos, 2020. "Public Spending and Economic Welfare in ECOWAS Countries: Does Level of Development Matter?," MPRA Paper 99425, University Library of Munich, Germany.
    10. Schneider, Nicolas & Strielkowski, Wadim, 2023. "Modelling the unit root properties of electricity data—A general note on time-domain applications," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 618(C).
    11. Davis, E. Philip & Zhu, Haibin, 2011. "Bank lending and commercial property cycles: Some cross-country evidence," Journal of International Money and Finance, Elsevier, vol. 30(1), pages 1-21, February.
    12. Angeliki N. Menegaki, 2019. "The ARDL Method in the Energy-Growth Nexus Field; Best Implementation Strategies," Economies, MDPI, vol. 7(4), pages 1-16, October.
    13. He, Pinglin & Sun, Yulong & Niu, Hanlu & Long, Chengfeng & Li, Shufeng, 2021. "The long and short-term effects of environmental tax on energy efficiency: Perspective of OECD energy tax and vehicle traffic tax," Economic Modelling, Elsevier, vol. 97(C), pages 307-325.
    14. Cosimo Magazzino, 2012. "The Nexus between Disaggregated Public Spending and GDP in the Euro Area," Economics Bulletin, AccessEcon, vol. 32(3), pages 2560-2579.
    15. Shrestha, Anil & Mustafa, Andy Ali & Htike, Myo Myo & You, Vithyea & Kakinaka, Makoto, 2022. "Evolution of energy mix in emerging countries: Modern renewable energy, traditional renewable energy, and non-renewable energy," Renewable Energy, Elsevier, vol. 199(C), pages 419-432.
    16. Andrew Phiri, 2017. "Nonlinearities in Wagner's law: further evidence from South Africa," International Journal of Sustainable Economy, Inderscience Enterprises Ltd, vol. 9(3), pages 231-249.
    17. D. O. Olayungbo & Ahmod Quadri, 2019. "Remittances, financial development and economic growth in sub-Saharan African countries: evidence from a PMG-ARDL approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 5(1), pages 1-25, December.
    18. Erdal Özmen & Özge Doğanay Yaşar, 2015. "Emerging Markets Sovereign Bond Spreads, Credit Ratings and Global Financial Crisis," ERC Working Papers 1510, ERC - Economic Research Center, Middle East Technical University, revised Nov 2015.
    19. Waqas & Dilawar Khan & Róbert Magda, 2022. "The Impact of Forest Wood Product Exports on Environmental Performance in Asia," Sustainability, MDPI, vol. 14(20), pages 1-14, October.
    20. Farroukh, Arafet & Mazioued, Manel & Pédussel Wu, Jennifer, 2024. "Revisiting the linkage between remittances inflow and economic growth: A semi-parametric estimation with panel data," IPE Working Papers 238/2024, Berlin School of Economics and Law, Institute for International Political Economy (IPE).

    More about this item

    Keywords

    Sequential Panel selection method (SPSM); Cointegration; Wagner’s law; Provincial analysis; South Africa;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • H70 - Public Economics - - State and Local Government; Intergovernmental Relations - - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wei:journl:v:8:y:2018:i:1:p:25-39. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mihai Mutascu (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.