Record Details

The Effectiveness of Fiscal Rules - The Case of Switzerland

Journal of Social and Administrative Sciences

View Archive Info
 
 
Field Value
 
Title The Effectiveness of Fiscal Rules - The Case of Switzerland
 
Creator ISKANDAR, Marianne Yousseff; Department of Economics, in German University in Cairo
 
Subject —
—
 
Description Abstract. This paper aims to measure the effectiveness of fiscal rules. Fiscal rules are constraints on fiscal policy that limit budgetary outcomes. Some studies in the literature have examined their effectiveness using a stringency index. Arguing this index possesses some arbitrariness, this study measured the effectiveness of fiscal rules using cluster analysis. This cluster analysis resulted in dividing the data into two clusters. Using panel data of 26 Swiss cantons plus the Swiss federation over the period 1990 - 2012, a Least Squares Dummy Variable econometric model was conducted. The findings indicate that fiscal rules have a favorable effect. It was found that the frameworks of cantons in cluster 1 are more effective in decreasing cantonal deficits than those of cluster 2. Furthermore, it was found that cantons in cluster 1 have lower debt levels in comparison to cantons in cluster 2.Keywords. Fiscal rules, Qualitative data analysis, Regional governments, Government spending.JEL. C50, C80, H30, H50, H60, H70.
 
Publisher Journal of Social and Administrative Sciences
Journal of Social and Administrative Sciences
 
Contributor —
 
Date 2016-09-18
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
—
 
Format —
 
Identifier http://www.kspjournals.org/index.php/JSAS/article/view/1033
10.1453/jsas.v3i3.1033
 
Source Journal of Social and Administrative Sciences; Vol 3, No 3 (2016): September; 264-267
Journal of Social and Administrative Sciences; Vol 3, No 3 (2016): September; 264-267
2149-0406
 
Language eng
 
Relation http://www.kspjournals.org/index.php/JSAS/article/view/1033/1036
 
Rights Copyright (c) 2016 Journal of Social and Administrative Sciences
http://creativecommons.org/licenses/by-nc/4.0