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Wagner's law revisited: Cointegration and causality tests for New Zealand

Kumar, Saten; Webber, Don J.; Fargher, Scott

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Authors

Saten Kumar

Don J. Webber

Scott Fargher



Abstract

Wagner's Law states that the share of government expenditure in Gross National Product (GNP) will increase with economic development; many associated empirical studies substitute GNP with Gross Domestic Product (GDP). This article presents an empirical investigation into the validity of Wagner's Law for New Zealand over the period 1960 to 2007 and compares the results obtained using these two measures of output. Application of the Autoregressive Distributed Lag (ARDL) bounds test suggests a cointegrating relationship between either output measure and the share of government spending, and further application of General to Specific (GETS), Engle and Granger (EG), Phillip Hansen's Fully Modified Ordinary Least Squares (FMOLS) and Johansen's time series techniques illustrate statistical robustness and an income elasticity between 0.56 and 0.84. The results suggest that output measures Granger cause the share of government expenditure in the long run, thereby providing support for Wagner's Law, and these results are stable irrespective of the chosen output measure. © 2012 Taylor & Francis.

Citation

Kumar, S., Webber, D. J., & Fargher, S. (2012). Wagner's law revisited: Cointegration and causality tests for New Zealand. Applied Economics, 44(5), 607-616. https://doi.org/10.1080/00036846.2010.511994

Journal Article Type Article
Publication Date Feb 1, 2012
Publicly Available Date Jun 8, 2019
Journal Applied Economics
Print ISSN 0003-6846
Electronic ISSN 1466-4283
Publisher Taylor & Francis (Routledge)
Peer Reviewed Peer Reviewed
Volume 44
Issue 5
Pages 607-616
DOI https://doi.org/10.1080/00036846.2010.511994
Keywords government spending, GNP, GDP, cointegration, Granger causality
Public URL https://uwe-repository.worktribe.com/output/954287
Publisher URL http://dx.doi.org/10.1080/00036846.2010.511994
Additional Information Additional Information : Available online before print: 2nd February 2012

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