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Federica Brenna

Personal Details

First Name:Federica
Middle Name:
Last Name:Brenna
Suffix:
RePEc Short-ID:pbr830
[This author has chosen not to make the email address public]
https://www.federicabrenna.com/
Terminal Degree:2023 Faculteit Economie en Bedrijfswetenschappen; KU Leuven (from RePEc Genealogy)

Affiliation

(10%) Ekonomikos ir Verslo Administravimo Fakultetas
Vilniaus Universitetas

Vilnius, Lithuania
http://www.evaf.vu.lt/
RePEc:edi:fecvult (more details at EDIRC)

(90%) Lietuvos Bankas

Vilnius, Lithuania
http://www.lbank.lt/
RePEc:edi:lbanklt (more details at EDIRC)

Research output

as
Jump to: Working papers

Working papers

  1. Federica Brenna & Zymantas Budrys, 2024. "The term structure of judgement: interpreting survey disagreement," Bank of Lithuania Working Paper Series 123, Bank of Lithuania.
  2. Bańbura, Marta & Brenna, Federica & Paredes, Joan & Ravazzolo, Francesco, 2021. "Combining Bayesian VARs with survey density forecasts: does it pay off?," Working Paper Series 2543, European Central Bank.

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. Bańbura, Marta & Brenna, Federica & Paredes, Joan & Ravazzolo, Francesco, 2021. "Combining Bayesian VARs with survey density forecasts: does it pay off?," Working Paper Series 2543, European Central Bank.

    Cited by:

    1. Bańbura, Marta & Leiva-Leon, Danilo & Menz, Jan-Oliver, 2021. "Do inflation expectations improve model-based inflation forecasts?," Working Paper Series 2604, European Central Bank.
    2. Michael Pfarrhofer, 2024. "Forecasts with Bayesian vector autoregressions under real time conditions," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(3), pages 771-801, April.
    3. Bobeica, Elena & Hartwig, Benny, 2023. "The COVID-19 shock and challenges for inflation modelling," International Journal of Forecasting, Elsevier, vol. 39(1), pages 519-539.
    4. Richard Schnorrenberger & Aishameriane Schmidt & Guilherme Valle Moura, 2024. "Harnessing Machine Learning for Real-Time Inflation Nowcasting," Working Papers 806, DNB.
    5. Baumann, Ursel & Darracq Pariès, Matthieu & Westermann, Thomas & Riggi, Marianna & Bobeica, Elena & Meyler, Aidan & Böninghausen, Benjamin & Fritzer, Friedrich & Trezzi, Riccardo & Jonckheere, Jana & , 2021. "Inflation expectations and their role in Eurosystem forecasting," Occasional Paper Series 264, European Central Bank.
    6. Barbaglia, Luca & Frattarolo, Lorenzo & Onorante, Luca & Pericoli, Filippo Maria & Ratto, Marco & Tiozzo Pezzoli, Luca, 2022. "Testing big data in a big crisis: Nowcasting under COVID-19," Working Papers 2022-06, Joint Research Centre, European Commission.

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 1 paper 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-ETS: Econometric Time Series (1) 2021-05-17. Author is listed
  2. NEP-FOR: Forecasting (1) 2021-05-17. Author is listed
  3. NEP-MAC: Macroeconomics (1) 2021-05-17. Author is listed

Corrections

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