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Federico Fioravanti

Personal Details

First Name:Federico
Middle Name:
Last Name:Fioravanti
Suffix:
RePEc Short-ID:pfi393
[This author has chosen not to make the email address public]
https://sites.google.com/view/fedefioravanti/

Affiliation

Groupe d'Analyse et de Théorie Économique Lyon St-Étienne (GATE Lyon St-Étienne)
Université de Lyon

Lyon, France
http://www.gate.cnrs.fr/
RePEc:edi:gateefr (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Agustín Bonifacio & Federico Fioravanti, 2025. "On Voting Rules Satisfying False-Name-Proofness and Participation," Working Papers 356, Red Nacional de Investigadores en Economía (RedNIE).
  2. Federico Fioravanti, 2024. "Expert Classification Aggregation," Papers 2409.11033, arXiv.org, revised Feb 2025.
  3. Federico Fioravanti, 2024. "Expert Classification Aggregation," Working Papers 339, Red Nacional de Investigadores en Economía (RedNIE).
  4. Federico Fioravanti, 2024. "Fuzzy Classification Aggregation," Working Papers 312, Red Nacional de Investigadores en Economía (RedNIE).
  5. Federico Fioravanti, 2024. "Fuzzy Classification Aggregation," Papers 2402.17620, arXiv.org, revised Feb 2025.
  6. Federico Fioravanti & Ulle Endriss, 2024. "Voting with Partial Orders: The Plurality and Anti-Plurality Classes," Papers 2404.17413, arXiv.org, revised Jan 2025.
  7. Federico Fioravanti & Ulle Endriss, 2024. "Voting with Partial Orders: The Plurality and Anti-Plurality Classes," Working Papers 329, Red Nacional de Investigadores en Economía (RedNIE).
  8. Federico Fioravanti & Fernando Delbianco & Fernando Tohmé, 2024. "Visitors Out! The Absence of Away Team Supporters as a Source of Home Advantage in Football," Working Papers 299, Red Nacional de Investigadores en Economía (RedNIE).
  9. Federico Fioravanti & Massó Jordi, 2022. "False-name-proof and Strategy-proof Voting Rules under Separable Preferences," Working Papers 181, Red Nacional de Investigadores en Economía (RedNIE).
  10. Federico Fioravanti & Iyad Rahwan & Fernando Abel Tohm'e, 2022. "Classes of Aggregation Rules for Ethical Decision Making in Automated Systems," Papers 2206.05160, arXiv.org, revised Jun 2023.
  11. Federico Fioravanti & Iyad Rahwan & Fernando Tohmé, 2022. "Properties of Aggregation Operators Relevant for Ethical Decision Making in Artificial Intelligence," Working Papers 177, Red Nacional de Investigadores en Economía (RedNIE).
  12. Fernando Delbianco & Federico Fioravanti & Fernando Tohmé, 2022. "Home Advantage and Crowd Attendance: Evidence from Rugby during the Covid 19 Pandemic," Working Papers 180, Red Nacional de Investigadores en Economía (RedNIE).
  13. Fernando Delbianco & Federico Fioravanti & Fernando Tohm'e, 2020. "The Impact of Birth Order on Behavior in Contact Team Sports: the Evidence of Rugby Teams in Argentina," Papers 2004.09421, arXiv.org.
  14. Federico Fioravanti & Fernando Tohm'e, 2019. "Alternative Axioms in Group Identification Problems," Papers 1912.05961, arXiv.org.
  15. Federico Fioravanti & Fernando Tohm'e, 2019. "Fuzzy Group Identification Problems," Papers 1912.05540, arXiv.org, revised Jul 2021.

Articles

  1. Federico Fioravanti & Jordi Massó, 2024. "False-name-proof and strategy-proof voting rules under separable preferences," Theory and Decision, Springer, vol. 97(2), pages 391-408, September.
  2. Federico Fioravanti & Fernando Delbianco & Fernando Tohmé, 2023. "The relative importance of ability, luck and motivation in team sports: a Bayesian model of performance in the English Rugby Premiership," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 32(3), pages 715-731, September.
  3. Delbianco Fernando & Fioravanti Federico & Tohmé Fernando, 2023. "Home advantage and crowd attendance: evidence from rugby during the Covid 19 pandemic," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 19(1), pages 15-26, March.
  4. Federico Fioravanti & Fernando Tohmé & Fernando Delbianco & Alejandro Neme, 2021. "Effort of rugby teams according to the bonus point system: a theoretical and empirical analysis," International Journal of Game Theory, Springer;Game Theory Society, vol. 50(2), pages 447-474, June.
  5. Federico Fioravanti & Fernando Tohmé, 2021. "Alternative Axioms in Group Identification Problems," Journal of Classification, Springer;The Classification Society, vol. 38(2), pages 353-362, July.
  6. Federico Fioravanti & Fernando Tohmé, 2020. "Asking Infinite Voters ‘Who is a J?’: Group Identification Problems in ℕ$\mathbb {N}$," Journal of Classification, Springer;The Classification Society, vol. 37(1), pages 58-65, April.

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. Federico Fioravanti & Massó Jordi, 2022. "False-name-proof and Strategy-proof Voting Rules under Separable Preferences," Working Papers 181, Red Nacional de Investigadores en Economía (RedNIE).

    Cited by:

    1. Pablo Arribillaga & Agustín Bonifacio, 2022. "Obvious manipulations of tops-only voting rules," Asociación Argentina de Economía Política: Working Papers 4536, Asociación Argentina de Economía Política.
    2. Agustín Bonifacio & Federico Fioravanti, 2025. "On Voting Rules Satisfying False-Name-Proofness and Participation," Working Papers 356, Red Nacional de Investigadores en Economía (RedNIE).
    3. Federico Fioravanti & Iyad Rahwan & Fernando Tohmé, 2022. "Properties of Aggregation Operators Relevant for Ethical Decision Making in Artificial Intelligence," Working Papers 177, Red Nacional de Investigadores en Economía (RedNIE).

  2. Fernando Delbianco & Federico Fioravanti & Fernando Tohmé, 2022. "Home Advantage and Crowd Attendance: Evidence from Rugby during the Covid 19 Pandemic," Working Papers 180, Red Nacional de Investigadores en Economía (RedNIE).

    Cited by:

    1. Federico Fioravanti & Fernando Delbianco & Fernando Tohmé, 2024. "Visitors Out! The Absence of Away Team Supporters as a Source of Home Advantage in Football," Working Papers 299, Red Nacional de Investigadores en Economía (RedNIE).
    2. Carl Singleton & J. James Reade & Johan Rewilak & Dominik Schreyer, 2021. "How big is home advantage at the Olympic Games?," Economics Discussion Papers em-dp2021-13, Department of Economics, University of Reading.
    3. Bühren Christoph & Gabriel Marvin, 2023. "Performing best when it matters the most: evidence from professional handball," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 19(3), pages 185-203, September.
    4. Federico Fioravanti & Fernando Delbianco & Fernando Tohmé, 2023. "The relative importance of ability, luck and motivation in team sports: a Bayesian model of performance in the English Rugby Premiership," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 32(3), pages 715-731, September.
    5. Michael Christian Leitner & Frank Daumann & Florian Follert & Fabio Richlan, 2023. "The cauldron has cooled down: a systematic literature review on home advantage in football during the COVID-19 pandemic from a socio-economic and psychological perspective," Management Review Quarterly, Springer, vol. 73(2), pages 605-633, June.
    6. Alexandru Nicolae Ungureanu & Corrado Lupo & Paolo Riccardo Brustio, 2021. "A Machine Learning Approach to Analyze Home Advantage during COVID-19 Pandemic Period with Regards to Margin of Victory and to Different Tournaments in Professional Rugby Union Competitions," IJERPH, MDPI, vol. 18(23), pages 1-8, December.
    7. Butler, David & Butler, Robert & Singleton, Carl, 2025. "Objective Calls Under the Spotlight: Referee Consistency and Behaviour on Football's Biggest Stage," IZA Discussion Papers 17718, Institute of Labor Economics (IZA).

Articles

  1. Federico Fioravanti & Jordi Massó, 2024. "False-name-proof and strategy-proof voting rules under separable preferences," Theory and Decision, Springer, vol. 97(2), pages 391-408, September.
    See citations under working paper version above.
  2. Federico Fioravanti & Fernando Delbianco & Fernando Tohmé, 2023. "The relative importance of ability, luck and motivation in team sports: a Bayesian model of performance in the English Rugby Premiership," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 32(3), pages 715-731, September.

    Cited by:

    1. Brian Nalumenya & Matteo Rubinato & Michael Kennedy & Jade Catterson, 2024. "Can Game-Based Learning Help to Increase the Awareness of Water Management in Uganda? A Case Study for Primary and Secondary Schools," World, MDPI, vol. 5(4), pages 1-23, October.

  3. Delbianco Fernando & Fioravanti Federico & Tohmé Fernando, 2023. "Home advantage and crowd attendance: evidence from rugby during the Covid 19 pandemic," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 19(1), pages 15-26, March.
    See citations under working paper version above.
  4. Federico Fioravanti & Fernando Tohmé & Fernando Delbianco & Alejandro Neme, 2021. "Effort of rugby teams according to the bonus point system: a theoretical and empirical analysis," International Journal of Game Theory, Springer;Game Theory Society, vol. 50(2), pages 447-474, June.

    Cited by:

    1. Federico Fioravanti & Fernando Delbianco & Fernando Tohmé, 2023. "The relative importance of ability, luck and motivation in team sports: a Bayesian model of performance in the English Rugby Premiership," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 32(3), pages 715-731, September.
    2. Avila-Cano, Antonio & Owen, P. Dorian & Triguero-Ruiz, Francisco, 2023. "Measuring competitive balance in sports leagues that award bonus points, with an application to rugby union," European Journal of Operational Research, Elsevier, vol. 309(2), pages 939-952.

  5. Federico Fioravanti & Fernando Tohmé, 2021. "Alternative Axioms in Group Identification Problems," Journal of Classification, Springer;The Classification Society, vol. 38(2), pages 353-362, July.

    Cited by:

    1. Cailloux, Olivier & Hervouin, Matthieu & Ozkes, Ali I. & Sanver, M. Remzi, 2024. "Classification aggregation without unanimity," Mathematical Social Sciences, Elsevier, vol. 128(C), pages 6-9.
    2. Federico Fioravanti, 2024. "Fuzzy Classification Aggregation," Papers 2402.17620, arXiv.org, revised Feb 2025.
    3. Federico Fioravanti, 2024. "Fuzzy Classification Aggregation," Working Papers 312, Red Nacional de Investigadores en Economía (RedNIE).
    4. Federico Fioravanti, 2024. "Expert Classification Aggregation," Papers 2409.11033, arXiv.org, revised Feb 2025.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 12 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-SPO: Sports and Economics (5) 2020-05-11 2021-05-10 2022-10-24 2023-09-18 2024-02-05. Author is listed
  2. NEP-CDM: Collective Decision-Making (4) 2019-12-23 2019-12-23 2022-07-18 2022-10-24. Author is listed
  3. NEP-MIC: Microeconomics (3) 2022-10-24 2024-05-27 2024-08-12. Author is listed
  4. NEP-BIG: Big Data (2) 2022-07-18 2022-10-03
  5. NEP-CUL: Cultural Economics (2) 2023-09-18 2024-02-05
  6. NEP-DEM: Demographic Economics (1) 2022-07-18
  7. NEP-DES: Economic Design (1) 2022-10-24
  8. NEP-GEN: Gender (1) 2020-05-11
  9. NEP-ORE: Operations Research (1) 2019-12-23
  10. NEP-POL: Positive Political Economics (1) 2022-10-24

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