A Provincial Perspective of Nonlinear Okun's Law for Emerging Markets: The Case of South Africa

2Citations
Citations of this article
22Readers
Mendeley users who have this article in their library.

Abstract

A provincial analysis of Okun's law in South Africa is provided in this article from 1996 to 2016. Empirically, we rely on the nonlinear autoregressive distributive lag (N-ARDL) model whilst the Corbae-Ouliaris filter is used to extract the 'gap' variables required for our regression estimates. Okun's law is found to be significant hold in the long-run exclusively for the Western Cape and Kwa-Zulu Natal provinces whereas the remaining provinces partially display significant short-run effects. Our sensitivity analysis in which panel N-ARDL estimations for all provinces finds insignificant long-run Okun effects for the country as a whole, whilst validating the relationship only in the short-run. Our study hence advises that the epicenter of policy efforts in addressing the country's high unemployment and low economic growth dilemma should be concentrated at a provincial level.

References Powered by Scopus

Bounds testing approaches to the analysis of level relationships

11637Citations
N/AReaders
Get full text

Cointegration and threshold adjustment

749Citations
N/AReaders
Get full text

The robustness of Okun's law: Evidence from OECD countries

250Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Asymmetric effects of economy on unemployment in Algeria: Evidence from a nonlinear ARDL approach

3Citations
N/AReaders
Get full text

Regional economic growth and unemployment in the European Union – a spatio-temporal analysis at the NUTS-2 level (2013–2019)

2Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Kavese, K., & Phiri, A. (2020). A Provincial Perspective of Nonlinear Okun’s Law for Emerging Markets: The Case of South Africa. Studia Universitatis Vasile Goldis Arad, Economics Series, 30(3), 59–76. https://doi.org/10.2478/sues-2020-0017

Readers over time

‘20‘22‘23‘240481216

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 3

100%

Readers' Discipline

Tooltip

Economics, Econometrics and Finance 3

75%

Mathematics 1

25%

Save time finding and organizing research with Mendeley

Sign up for free
0