2016
DOI: 10.1016/j.jempfin.2016.05.001
|View full text |Cite
|
Sign up to set email alerts
|

Inflation uncertainty, disagreement and monetary policy: Evidence from the ECB Survey of Professional Forecasters

Abstract: Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
27
0

Year Published

2016
2016
2021
2021

Publication Types

Select...
9

Relationship

0
9

Authors

Journals

citations
Cited by 46 publications
(27 citation statements)
references
References 59 publications
0
27
0
Order By: Relevance
“…The authors applied this measure to the forward-looking survey question related to the expectations of domestic production activities in Germany at the micro level in order to proxy economic uncertainty. Since then, measures of disagreement among survey expectations have been increasingly used to proxy economic uncertainty Girardi and Reuter 2017;Glas and Hartmann 2016;Mokinski et al 2015).…”
Section: Methodsmentioning
confidence: 99%
“…The authors applied this measure to the forward-looking survey question related to the expectations of domestic production activities in Germany at the micro level in order to proxy economic uncertainty. Since then, measures of disagreement among survey expectations have been increasingly used to proxy economic uncertainty Girardi and Reuter 2017;Glas and Hartmann 2016;Mokinski et al 2015).…”
Section: Methodsmentioning
confidence: 99%
“…Our analysis relates to a number of recent empirical studies on the ECB-SPF data (e.g., Genre et al 2013;Kenny et al 2014Kenny et al , 2015Abel et al 2016;Glas and Hartmann 2016). Compared to these studies, the main innovation of the present paper is our use of ensemble methods for constructing forecast distributions.…”
mentioning
confidence: 99%
“…2015, Reifschneider and Tulip 2007, Boero et.al. 2015, Glas and Hartmann 2015. Once again one is led to examining forecast disagreement for additional clues.…”
Section: Forecasts and Monetary Policymentioning
confidence: 99%