Fiscal policy in the Bundestag: Textual analysis and macroeconomic effects

被引:0
|
作者
Latifi, Albina [1 ]
Naboka-Krell, Viktoriia [1 ]
Tillmann, Peter [1 ]
Winker, Peter [1 ]
机构
[1] Justus Liebig Univ Giessen, Dept Econ, Giessen, Germany
关键词
Text mining; Word embeddings; VAR models; Identification; Government spending; GOVERNMENT SPENDING SHOCKS; TAX CHANGES;
D O I
10.1016/j.euroecorev.2024.104827
中图分类号
F [经济];
学科分类号
02 ;
摘要
Fiscal policy is made in parliaments. We go to the roots of changes of fiscal policy in Germany and use a novel data set on all parliamentary speeches in the Bundestag from 1960 to 2021. We propose an embedding-based approach, which allows the representation of words and documents in a shared vector space, in order to measure fiscal policy-related sentiment in parliamentary debates at a scale from contractionary to expansionary. We also distinguish between sentiment related to exogenous and endogenous fiscal policy. We put fiscal sentiment into a series of recursively-identified vector autoregressive models to show that a change in fiscal sentiment causes a shift in government spending and has significant effects on the macroeconomy. The results support the notion that the debate in parliament contains information for the identification of government spending shocks.
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页数:20
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