2014
DOI: 10.1016/j.jimonfin.2013.10.002
|View full text |Cite
|
Sign up to set email alerts
|

Does inflation targeting improve fiscal discipline?

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

8
50
1
1

Year Published

2016
2016
2024
2024

Publication Types

Select...
7
1
1

Relationship

2
7

Authors

Journals

citations
Cited by 80 publications
(60 citation statements)
references
References 41 publications
8
50
1
1
Order By: Relevance
“…This is consistent with Minea and Tapsoba (2014) who found a significant impact of IT on fiscal discipline. This is consistent with Minea and Tapsoba (2014) who found a significant impact of IT on fiscal discipline.…”
Section: ] I N F L a T I O N T A R G E T I N G A N D F I S C A L supporting
confidence: 91%
See 1 more Smart Citation
“…This is consistent with Minea and Tapsoba (2014) who found a significant impact of IT on fiscal discipline. This is consistent with Minea and Tapsoba (2014) who found a significant impact of IT on fiscal discipline.…”
Section: ] I N F L a T I O N T A R G E T I N G A N D F I S C A L supporting
confidence: 91%
“…(3) of (1a)supporting the existence of significant cross-effects. This is consistent with Minea and Tapsoba (2014) who found a significant impact of IT on fiscal discipline. The results also confirm the direct discipline-enhancing effect of FR on fiscal policy found in the literature (Alesina and Perotti, 1995;Alesina et al, 1999;Debrun et al, 2008b;Dabla-Norris et al, 2010;Gollwitzer, 2011;Tapsoba, 2012;Guerguil et al, 2017).…”
Section: ] I N F L a T I O N T A R G E T I N G A N D F I S C A L supporting
confidence: 91%
“…We consider a sample of 48 advanced and emerging economies that have and have not adopted explicit IT between 1982 and 2016: Argentina, Australia*, Austria, Belgium, Brazil*,Canada*, Chile*, Colombia*, Costa Rica, Denmark, Finland*, France, Germany, Greece, Hong Kong, China, Hungary*, India, Indonesia*, Ireland, Israel*, Italy, Japan, Korea*, Latvia, Malaysia, Mexico*, Netherlands, New Zealand*, Norway*, Peru*, Philippines*, Poland*, Portugal, Romania*, Russia, Singapore, Slovak Republic*, Slovenia, South Africa*, Spain*, Sweden*, Switzerland*, Thailand*, Turkey*, The United Kingdom* and The United States. 10 Following Rose (2007), Minea and Tapsoba (2014) and Balima, Combes, and Minea (2017) we classify an observation as IT distinguishing between Full-fledge (FF henceforth) and Soft starting dates of IT. The difference between the two dates captures the fact that some central banks first adopted "soft or informal" IT (see Vega and Winkelried (2005)), in which the central bank's reaction, following a deviation of inflation from its targeted level, is slower compared to its reaction under an explicit "full-fledged or formal" IT.…”
Section: Data and Descriptive Statisticsmentioning
confidence: 99%
“…Following Minea and Tapsoba (2014), and Balima et al (2017), we consider the nearest (N = 1), the two-nearest (N = 2), and the three-nearest (N = 3). The second method is the radius or caliper matching (Dehejia and Wahba, 2002), which matches each treated i with untreated j that falls within radius r. We use the PS to define a medium (r = 0.1), a small (r = 0.05) and a wide (r = 0.2) radius.…”
Section: Propensity Score Matching Resultsmentioning
confidence: 99%