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A sequential panel selection approach to cointegration analysis: An application to Wagner's law for South African provincial data

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  • Vayi, Xolisa
  • Phiri, Andrew

Abstract

This study extends 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 between 2001 and 2016. We note that when applying single country/region estimates we fail to find evidence of cointegration whereas within panel regressions, cointegration effects are present for the entire 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

  • Vayi, Xolisa & Phiri, Andrew, 2018. "A sequential panel selection approach to cointegration analysis: An application to Wagner's law for South African provincial data," MPRA Paper 88989, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:88989
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    References listed on IDEAS

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    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

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