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Testing Wagner's Law in India: A cointegration and causality analysis.

Authors :
Kaur, Kirandeep
Afifa, Umme
Source :
Communications in Statistics: Theory & Methods; 2017, Vol. 46 Issue 17, p8510-8520, 11p
Publication Year :
2017

Abstract

The present study empirically analyzes the validity of Wagner's Law for Indian economy. With the use of annual time series data from 1970–71 to 2013–14, all the six versions of Wagner's Law have been analyzed to test the relationship between government expenditure and gross domestic product. Wagner's Law states that the economic growth is the causative factor of the growth of the public expenditure. The study applied the unit root test and cointegration test to find the long-run relationship between government expenditure and gross domestic product. The present study employed the various econometric techniques such as unit root test, cointegration, and causality analysis for empirical analysis. The empirical analysis under study inferred mixed results of Wagner's Law for Indian economy, where four versions, namely Peacock, Gupta, Guffman, and Musgrave, found valid for Indian economy. The study concluded that the Wagner's Law is valid for the Indian economy except the Pryor and Mann Versions of the Wagner's Law. [ABSTRACT FROM PUBLISHER]

Details

Language :
English
ISSN :
03610926
Volume :
46
Issue :
17
Database :
Complementary Index
Journal :
Communications in Statistics: Theory & Methods
Publication Type :
Academic Journal
Accession number :
124333305
Full Text :
https://doi.org/10.1080/03610926.2016.1183788