Affiliation
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Hamburg: Hamburg University, Department Socioeconomics
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Abstract
Using corpora of business cycle report sections dealing with monetary and fiscal policy issues from 1999 to 2017 and using methods of unsupervised text scaling (Slapin and Proksch, 2008; Lauderdale and Herzog, 2016), namely Wordfish and Wordshoal we scale the institutions’ theoretical/ideological position over debates. The results are in line...
Description
Keywords
Computational Content Analysis , ddc:330 , Bayesian Estimation , 330 Wirtschaft , P16 , Public Policy , Hierarchical Factor Model , Political Economy , Wordfish , Monetary Policy , Word fish , H3 , Fiscal Policy , Text Scaling Model , Polarization , D7 , Wordshoal , E62 , E52 , Ideology , C55 , E32