Sources of economic policy uncertainty in the euro area: a machine learning approach
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Abstract
Suggested Citation
Note: 2460732
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Cited by:
- Liosi, Konstantina, 2023. "The sources of economic uncertainty: Evidence from eurozone markets," Journal of Multinational Financial Management, Elsevier, vol. 69(C).
- Martin Baumgaertner & Johannes Zahner, 2021.
"Whatever it takes to understand a central banker - Embedding their words using neural networks,"
MAGKS Papers on Economics
202130, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
- Zahner, Johannes & Baumgärtner, Martin, 2022. "Whatever it Takes to Understand a Central Banker – Embedding their Words Using Neural Networks," VfS Annual Conference 2022 (Basel): Big Data in Economics 264019, Verein für Socialpolitik / German Economic Association.
- Baumgärtner, Martin & Zahner, Johannes, 2023. "Whatever it takes to understand a central banker: Embedding their words using neural networks," IMFS Working Paper Series 194, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
- Sonya Georgieva, 2023. "Application of Artificial Intelligence and Machine Learning in the Conduct of Monetary Policy by Central Banks," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 8, pages 177-199.
More about this item
Keywords
Economic Policy Uncertainty; machine learning; sources of uncertainty; text-mining;All these keywords.
JEL classification:
- C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
- C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
- E65 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Studies of Particular Policy Episodes
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