Estimating central bank preferences

Berg, Nicole Rae ; Lowe, Will ; Ponzetto, Simone Paolo ; Stuckenschmidt, Heiner ; Zirn, Cäcilia

Additional URL:
Document Type: Conference or workshop publication
Year of publication: 2014
Book title: NLP Unshared Task in PoliInformatics : June 2014
Page range: 1-6
Conference title: NLP Unshared Task in PoliInformatics 2014
Location of the conference venue: Baltimore, MD
Date of the conference: 26.06.2014
Place of publication: Washington, DC
Publishing house: PoliInformatics Research Coordination Network (PInet)
Related URLs:
Publication language: English
Institution: Außerfakultäre Einrichtungen > Mannheim Centre for European Social Research - Research Department B
Außerfakultäre Einrichtungen > SFB 884
School of Business Informatics and Mathematics > Semantic Web (Juniorprofessur) (Ponzetto 2013-2015)
School of Business Informatics and Mathematics > Practical Computer Science II: Artificial Intelligence (Stuckenschmidt 2009-)
Subject: 004 Computer science, internet
320 Political science
Abstract: Scholars often use Federal Open Market Committee (FOMC) votes to estimate the preferences of central bankers. However, rarely do people cast dissenting votes. As a result, voting records are not a random sample and using votes to measure prefer- ences may cause misleading measures and wrong substantive conclusions. Instead of using voting records, this article demonstrates the usefulness of using what central bankers say in FOMC meetings as a way to better measure central bank preferences. Putting together automated text analysis tools and scaling methods, we estimate a new measure of central bank preferences on the FOMC leading up to the financial crisis.
Additional information: Online-Ressource

Dieser Eintrag ist Teil der Universitätsbibliographie.

Metadata export


+ Search Authors in

+ Page Views

Hits per month over past year

Detailed information

You have found an error? Please let us know about your desired correction here: E-Mail

Actions (login required)

Show item Show item