IDEAS home Printed from https://ideas.repec.org/f/pbe919.html
   My authors  Follow this author

Nicola Benatti

Personal Details

First Name:Nicola
Middle Name:
Last Name:Benatti
Suffix:
RePEc Short-ID:pbe919
[This author has chosen not to make the email address public]

Affiliation

European Central Bank

Frankfurt am Main, Germany
http://www.ecb.europa.eu/
RePEc:edi:emieude (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Chapters

Working papers

  1. Gόrnicka, Lucyna & Koester, Gerrit & Radowski, Daniel & Gautier, Erwan & Peinado, Mario Izquierdo & Stiglbauer, Alfred & Wittekopf, David & Puente, Sergio & Duarte, Claudia & Martins, Fernando & Basso, 2024. "A forward-looking tracker of negotiated wages in the euro area," Occasional Paper Series 338, European Central Bank.
  2. Benatti, Nicola & Groiss, Martin & Kelly, Petra & Lopez-Garcia, Paloma, 2023. "Environmental regulation and productivity growth in the euro area: testing the Porter hypothesis," Working Paper Series 2820, European Central Bank.
  3. Dhyne, Emmanuel & Zurlo, Davide & Sandoz-Dit-Bragard, Charlotte & Chiriacescu, Bogdan & Cazacu, Ana-Maria & Lalinsky, Tibor & Biewen, Elena & Blank, Sven & Meinen, Philipp & Hagemejer, Jan & Tello, Pa, 2014. "Micro-based evidence of EU competitiveness: the CompNet database," Working Paper Series 1634, European Central Bank.

Articles

  1. Benatti, Nicola & Dreiskena, Renate & Ferrando, Annalisa & García, Juan Angel & Miguel, Carolina, 2022. "Selling price expectations among euro area enterprises," Economic Bulletin Boxes, European Central Bank, vol. 5.
  2. Koester, Gerrit & Benatti, Nicola & Vlad, Aurelian, 2021. "Assessing wage dynamics during the COVID-19 pandemic: can data on negotiated wages help?," Economic Bulletin Boxes, European Central Bank, vol. 8.
  3. Benatti, Nicola & Botelho, Vasco & Consolo, Agostino & Da Silva, António Dias & Osiewicz, Malgorzata, 2020. "High-frequency data developments in the euro area labour market," Economic Bulletin Boxes, European Central Bank, vol. 5.

Chapters

  1. Nicola Benatti & Alexis Maurin, 2022. "Time series outlier detection, a data-driven approach," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Machine learning in central banking, volume 57, Bank for International Settlements.
  2. Nicola Benatti, 2019. "A machine learning approach to outlier detection and imputation of missing data," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Are post-crisis statistical initiatives completed?, volume 49, Bank for International Settlements.
  3. Nicola Benatti & Francesco Napolitano, 2019. "An insight into the derivatives trading of firms in the euro area," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Are post-crisis statistical initiatives completed?, volume 49, Bank for International Settlements.
  4. Nicola Benatti & Annalisa Ferrando & Pierre Lamarche, 2015. "Firms’ financial statements and competitiveness: an analysis for European non-financial corporations using micro-based data," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Indicators to support monetary and financial stability analysis: data sources and statistical methodologies, volume 39, Bank for International Settlements.

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. Dhyne, Emmanuel & Zurlo, Davide & Sandoz-Dit-Bragard, Charlotte & Chiriacescu, Bogdan & Cazacu, Ana-Maria & Lalinsky, Tibor & Biewen, Elena & Blank, Sven & Meinen, Philipp & Hagemejer, Jan & Tello, Pa, 2014. "Micro-based evidence of EU competitiveness: the CompNet database," Working Paper Series 1634, European Central Bank.

    Cited by:

    1. Ana Cristina Soares & Antoine Berthou, 2015. "Assessing European Firms’ Exports and Productivity Distributions: The CompNet Trade Module," Working Papers w201513, Banco de Portugal, Economics and Research Department.
    2. Glenn Magerman & Karolien De Bruyne & Emmanuel Dhyne & Jan Van Hove, 2016. "Heterogeneous Firms and the Micro Origins of Aggregate Fluctuations," Working Papers ECARES ECARES 2016-35, ULB -- Universite Libre de Bruxelles.
    3. Tibor Lalinsky & Jaanika Merikull, 2019. "The effect of the single currency on exports: comparative firm-level evidence," Bank of Estonia Working Papers wp2018-10, Bank of Estonia, revised 23 Jan 2019.
    4. Mahdi Ghodsi, 2020. "Is Austria’s economy locked-in in the CESEE region? Austria’s competitiveness at the micro-level," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 47(3), pages 669-693, August.
    5. Martina Lawless & Luke Rehill, 2022. "Market Power, Productivity and Sectoral Labour Shares in Europe," Open Economies Review, Springer, vol. 33(3), pages 453-476, July.

Articles

  1. Benatti, Nicola & Botelho, Vasco & Consolo, Agostino & Da Silva, António Dias & Osiewicz, Malgorzata, 2020. "High-frequency data developments in the euro area labour market," Economic Bulletin Boxes, European Central Bank, vol. 5.

    Cited by:

    1. Nicolas Woloszko, 2020. "Tracking activity in real time with Google Trends," OECD Economics Department Working Papers 1634, OECD Publishing.

Chapters

  1. Nicola Benatti, 2019. "A machine learning approach to outlier detection and imputation of missing data," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Are post-crisis statistical initiatives completed?, volume 49, Bank for International Settlements.

    Cited by:

    1. Romano, Stefania & Martinez-Heras, Jose & Raponi, Francesco Natalini & Guidi, Gregorio & Gottron, Thomas, 2021. "Discovering new plausibility checks for supervisory data," Statistics Paper Series 41, European Central Bank.
    2. IFC Working Group on Fintech Data Issues, 2020. "Towards monitoring financial innovation in central bank statistics," IFC Reports 12, Bank for International Settlements.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

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 3 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-EEC: European Economics (2) 2023-06-19 2024-03-04
  2. NEP-EFF: Efficiency and Productivity (2) 2014-04-05 2023-06-19
  3. NEP-EUR: Microeconomic European Issues (2) 2014-04-05 2024-03-04
  4. NEP-SBM: Small Business Management (2) 2014-04-05 2023-06-19
  5. NEP-BEC: Business Economics (1) 2014-04-05
  6. NEP-BIG: Big Data (1) 2023-06-19
  7. NEP-CSE: Economics of Strategic Management (1) 2014-04-05
  8. NEP-ENE: Energy Economics (1) 2023-06-19
  9. NEP-ENV: Environmental Economics (1) 2023-06-19
  10. NEP-INT: International Trade (1) 2014-04-05
  11. NEP-INV: Investment (1) 2024-03-04
  12. NEP-LAB: Labour Economics (1) 2024-03-04

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Nicola Benatti should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.