Dominik Hirschbühl
(Dominik Hirschbuehl)

Personal Details

First Name:	Dominik
Middle Name:
Last Name:	Hirschbuehl
Suffix:
RePEc Short-ID:	phi245
	[This author has chosen not to make the email address public]

Affiliation

Joint Research Centre
European Commission

Sevilla, Spain
https://ec.europa.eu/jrc/en/about/jrc-site/seville
RePEc:edi:ipjrces (more details at EDIRC)

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

1. Hirschbühl, Dominik & Krustev, Georgi & Stoevsky, Grigor, 2020. "Financial drivers of the euro area business cycle: a DSGE-based approach," Working Paper Series 2475, European Central Bank.

   Cited by:

   1. Francisco Louçã & Alexandre Abreu & Gonçalo Pessa Costa, 2021. "Disarray at the headquarters: Economists and Central bankers tested by the subprime and the COVID recessions [Forward guidance without common knowledge]," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 30(2), pages 273-296.

2. Azqueta-Gavaldon, Andres & Hirschbühl, Dominik & Onorante, Luca & Saiz, Lorena, 2020. "Economic policy uncertainty in the euro area: an unsupervised machine learning approach," Working Paper Series 2359, European Central Bank.

   Cited by:

   1. Diana Petrova & Pavel Trunin, 2023. "Estimation of Economic Policy Uncertainty," Russian Journal of Money and Finance, Bank of Russia, vol. 82(3), pages 48-61, September.
   2. Pablo Garcia, 2021. "Learning, expectations and monetary policy," BCL working papers 153, Central Bank of Luxembourg.
   3. Liosi, Konstantina, 2023. "The sources of economic uncertainty: Evidence from eurozone markets," Journal of Multinational Financial Management, Elsevier, vol. 69(C).
   4. Hauzenberger, Niko & Pfarrhofer, Michael & Stelzer, Anna, 2021. "On the effectiveness of the European Central Bank’s conventional and unconventional policies under uncertainty," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 822-845.
      • Niko Hauzenberger & Michael Pfarrhofer & Anna Stelzer, 2020. "On the effectiveness of the European Central Bank's conventional and unconventional policies under uncertainty," Papers 2011.14424, arXiv.org.
   5. Quelhas, João, 2022. "Monetary Policy Uncertainty and its impact on the real economy: Empirical Evidence from the Euro area," MPRA Paper 113621, University Library of Munich, Germany, revised May 2022.
   6. Juan de Lucio & Juan S. Mora-Sanguinetti, 2021. "New dimensions of regulatory complexity and their economic cost. An analysis using text mining," Working Papers 2107, Banco de España.
   7. Roman Valovic & Daniel Pastorek, 2023. "A Robustness Analysis of Newspaper-based Indices," MENDELU Working Papers in Business and Economics 2023-89, Mendel University in Brno, Faculty of Business and Economics.
   8. Charemza, Wojciech & Makarova, Svetlana & Rybiński, Krzysztof, 2022. "Economic uncertainty and natural language processing; The case of Russia," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 546-562.
   9. Saiz, Lorena & Ashwin, Julian & Kalamara, Eleni, 2021. "Nowcasting euro area GDP with news sentiment: a tale of two crises," Working Paper Series 2616, European Central Bank.
   10. de Lucio, Juan & Mora-Sanguinetti, Juan S., 2022. "Drafting “better regulation”: The economic cost of regulatory complexity," Journal of Policy Modeling, Elsevier, vol. 44(1), pages 163-183.
   11. Ademmer, Martin & Beckmann, Joscha & Bode, Eckhardt & Boysen-Hogrefe, Jens & Funke, Manuel & Hauber, Philipp & Heidland, Tobias & Hinz, Julian & Jannsen, Nils & Kooths, Stefan & Söder, Mareike & Stame, 2021. "Big Data in der makroökonomischen Analyse," Kieler Beiträge zur Wirtschaftspolitik 32, Kiel Institute for the World Economy (IfW Kiel).

Articles

1. Azqueta-Gavaldón, Andrés & Hirschbühl, Dominik & Onorante, Luca & Saiz, Lorena, 2023. "Sources of Economic Policy Uncertainty in the euro area," European Economic Review, Elsevier, vol. 152(C).

   Cited by:

   1. Liosi, Konstantina, 2023. "The sources of economic uncertainty: Evidence from eurozone markets," Journal of Multinational Financial Management, Elsevier, vol. 69(C).
   2. Daniel Pastorek & Dajana Mazurkova, 2023. "The Heterogeneity of European Bank Lending and the Role of Economic Policy Uncertainty," Journal of Economics / Ekonomicky casopis, Institute of Economic Research, Slovak Academy of Sciences, vol. 71(3), pages 258-278, March.
   3. Spyridon Boikos & Eirini Makantasi & Theodore Panagiotidis, 2023. "Macroeconomic Uncertainty Indices for European Countries," Notas Económicas, Faculty of Economics, University of Coimbra, issue 57, pages 7-56, December.

2. Hirschbühl, Dominik & Onorante, Luca & Saiz, Lorena, 2021. "Using machine learning and big data to analyse the business cycle," Economic Bulletin Articles, European Central Bank, vol. 5.

   Cited by:

   1. Bańbura, Marta & Belousova, Irina & Bodnár, Katalin & Tóth, Máté Barnabás, 2023. "Nowcasting employment in the euro area," Working Paper Series 2815, European Central Bank.
   2. 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.

3. Azqueta-Gavaldon, Andres & Hirschbühl, Dominik & Onorante, Luca & Saiz, Lorena, 2019. "Sources of economic policy uncertainty in the euro area: a machine learning approach," Economic Bulletin Boxes, European Central Bank, vol. 5.

   Cited by:

   1. Liosi, Konstantina, 2023. "The sources of economic uncertainty: Evidence from eurozone markets," Journal of Multinational Financial Management, Elsevier, vol. 69(C).
   2. 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.
      • 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).
   3. 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).
   4. 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 information

Research fields, statistics, top rankings, if available.

Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 7 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.

1. NEP-BIG: Big Data (3) 2020-02-03 2020-12-07 2023-04-24. Author is listed
2. NEP-EEC: European Economics (3) 2020-02-03 2020-10-19 2024-02-26. Author is listed
3. NEP-FDG: Financial Development and Growth (3) 2020-10-19 2020-12-07 2022-10-03. Author is listed
4. NEP-MAC: Macroeconomics (3) 2020-02-03 2020-10-19 2021-04-19. Author is listed
5. NEP-CMP: Computational Economics (2) 2020-02-03 2020-12-07. Author is listed
6. NEP-DGE: Dynamic General Equilibrium (2) 2020-10-19 2021-04-19. Author is listed
7. NEP-BAN: Banking (1) 2020-10-19
8. NEP-ECM: Econometrics (1) 2024-02-26
9. NEP-ENE: Energy Economics (1) 2022-10-03
10. NEP-ENV: Environmental Economics (1) 2022-10-03
11. NEP-EUR: Microeconomic European Issues (1) 2024-02-26
12. NEP-GEO: Economic Geography (1) 2024-02-26
13. NEP-HME: Heterodox Microeconomics (1) 2022-10-03
14. NEP-INT: International Trade (1) 2023-04-24
15. NEP-NET: Network Economics (1) 2020-12-07
16. NEP-OPM: Open Economy Macroeconomics (1) 2021-04-19
17. NEP-URE: Urban and Real Estate Economics (1) 2024-02-26

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