Testing Wagner's Law and Keynesian Hypothesis in Selected Post-Soviet Countries

Jeyhun Abbasov () and Khatai Aliyev

Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2018, vol. 66, issue 5, 1227-1237

Abstract: The aim of this research is to test Wagner's law and Keynesian hypothesis in 9 Post-Soviet countries - Estonia, Latvia, Lithuania, Uzbekistan, Azerbaijan, Georgia, Kyrgyz Republic, Moldova, and Ukraine. For this purpose, long- and short-run causality between real per capita GDP and real per capita government expenditures are estimated by employing ARDL modelling approach. Estimation results support validity of Wagner's law for Latvia, Lithuania, Uzbekistan, Georgia, Kyrgyz Republic and Ukraine, and validity of Keynesian hypothesis for Estonia, Uzbekistan, Azerbaijan, Kyrgyz Republic, and Moldova in the long-run. Meanwhile, research findings indicate strong bidirectional short-run causality in all countries except Lithuania and Kyrgyz Republic in the short-run.

Keywords: Wagner's law; Keynesian Hypothesis; Post-Soviet countries; long-run association; short-run causality; ARDL modeling approach (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://acta.mendelu.cz/doi/10.11118/actaun201866051227.html (text/html)
http://acta.mendelu.cz/doi/10.11118/actaun201866051227.pdf (application/pdf)
free of charge

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:mup:actaun:actaun_2018066051227

DOI: 10.11118/actaun201866051227

Access Statistics for this article

Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis is currently edited by Markéta Havlásková

More articles in Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis from Mendel University Press
Bibliographic data for series maintained by Ivo Andrle ().