IDEAS home Printed from https://ideas.repec.org/f/ppe1053.html
   My authors  Follow this author

Gaetano Perone

Personal Details

First Name:Gaetano
Middle Name:
Last Name:Perone
Suffix:
RePEc Short-ID:ppe1053
https://www.researchgate.net/profile/Gaetano-Perone

Affiliation

Dipartimento di Economia e Management
Università degli Studi di Pisa

Pisa, Italy
https://www.ec.unipi.it/
RePEc:edi:dspisit (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Gaetano Perone, 2020. "An ARIMA model to forecast the spread and the final size of COVID-2019 epidemic in Italy," Health, Econometrics and Data Group (HEDG) Working Papers 20/07, HEDG, c/o Department of Economics, University of York.
  2. Perone, G., 2020. "Comparison of ARIMA, ETS, NNAR and hybrid models to forecast the second wave of COVID-19 hospitalizations in Italy," Health, Econometrics and Data Group (HEDG) Working Papers 20/18, HEDG, c/o Department of Economics, University of York.
  3. Gaetano Perone, 2017. "Produttività del lavoro, dinamica salariale e squilibri commerciali nei Paesi dell’Eurozona: un’analisi empirica," Working Papers 0028, ASTRIL - Associazione Studi e Ricerche Interdisciplinari sul Lavoro.

Articles

  1. Perone, Gaetano, 2024. "The relationship between labor market institutions and innovation in 177 European regions over the period 2000–2015," Structural Change and Economic Dynamics, Elsevier, vol. 70(C), pages 128-149.
  2. Gaetano Perone, 2022. "Comparison of ARIMA, ETS, NNAR, TBATS and hybrid models to forecast the second wave of COVID-19 hospitalizations in Italy," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(6), pages 917-940, August.
  3. Gaetano Perone, 2022. "The effect of labor market institutions and macroeconomic variables on aggregate unemployment in 1990–2019: Evidence from 22 European countries [The effect of government size on the unemployment ra," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 31(2), pages 500-551.
  4. Gaetano Perone, 2022. "Using the SARIMA Model to Forecast the Fourth Global Wave of Cumulative Deaths from COVID-19: Evidence from 12 Hard-Hit Big Countries," Econometrics, MDPI, vol. 10(2), pages 1-23, April.
  5. Gaetano Perone, 2020. "The impact of agribusiness crimes on food prices: evidence from Italy," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 37(3), pages 877-909, October.
  6. Stefano Lucarelli & Gaetano Perone, 2020. "Quando la produttivitˆ limitata dalla bilancia dei pagamenti. Una riflessione sulle relazioni fra centro e periferia nellÕunione monetaria europea a partire dallÕequazione della produttivitˆ di Sylos ," Moneta e Credito, Economia civile, vol. 73(292), pages 325-353.
  7. Stefano Lucarelli & Gaetano Perone, 2018. "Economia e criminalità in Italia. Un'introduzione," Moneta e Credito, Economia civile, vol. 71(284), pages 277-282.
  8. Gaetano Perone, 2018. "I costi della criminalità organizzata nel settore agroalimentare italiano," Moneta e Credito, Economia civile, vol. 71(281), pages 37-66.
  9. Gaetano Perone, 2018. "Produttività del lavoro, dinamica salariale e squilibri commerciali nei Paesi dell'Eurozona: un'analisi empirica," Economia & lavoro, Carocci editore, issue 3, pages 61-98.
  10. Stefano Lucarelli & Gaetano Perone, 2018. "La loggia P2 e il mondo finanziario italiano. Alcune evidenze empiriche basate sulla social network analysis," Moneta e Credito, Economia civile, vol. 71(284), pages 369-390.

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. Gaetano Perone, 2020. "An ARIMA model to forecast the spread and the final size of COVID-2019 epidemic in Italy," Health, Econometrics and Data Group (HEDG) Working Papers 20/07, HEDG, c/o Department of Economics, University of York.

    Cited by:

    1. Cia Vei Tan & Sarbhan Singh & Chee Herng Lai & Ahmed Syahmi Syafiq Md Zamri & Sarat Chandra Dass & Tahir Bin Aris & Hishamshah Mohd Ibrahim & Balvinder Singh Gill, 2022. "Forecasting COVID-19 Case Trends Using SARIMA Models during the Third Wave of COVID-19 in Malaysia," IJERPH, MDPI, vol. 19(3), pages 1-12, January.
    2. Gaetano Perone, 2022. "Using the SARIMA Model to Forecast the Fourth Global Wave of Cumulative Deaths from COVID-19: Evidence from 12 Hard-Hit Big Countries," Econometrics, MDPI, vol. 10(2), pages 1-23, April.
    3. Gaetano Perone, 2022. "Comparison of ARIMA, ETS, NNAR, TBATS and hybrid models to forecast the second wave of COVID-19 hospitalizations in Italy," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(6), pages 917-940, August.
    4. Francesco Busato & Bruno Chiarini & Gianluigi Cisco & Maria Ferrara & Elisabetta Marzano, 2020. "Lockdown Policies: A Macrodynamic Perspective for Covid-19," CESifo Working Paper Series 8465, CESifo.
    5. Emerson Abraham Jackson, 2021. "Forecasting COVID-19 Daily Contraction in Sierra Leone with Implications for Policy Formulation," Journal of Economic Policy Researches, Istanbul University, Faculty of Economics, vol. 8(1), pages 29-43, January.
    6. Abdallah S. A. Yaseen, 2022. "Impact of social determinants on COVID-19 infections: a comprehensive study from Saudi Arabia governorates," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-9, December.
    7. Yichen Yang & Shifeng Fang & Hua Wu & Jiaqiang Du & Haomiao Tu & Wei He, 2021. "Spatiotemporal Trends and Driving Factors of Urban Livability in the Yangtze River Delta Agglomeration," Sustainability, MDPI, vol. 13(23), pages 1-19, November.

  2. Perone, G., 2020. "Comparison of ARIMA, ETS, NNAR and hybrid models to forecast the second wave of COVID-19 hospitalizations in Italy," Health, Econometrics and Data Group (HEDG) Working Papers 20/18, HEDG, c/o Department of Economics, University of York.

    Cited by:

    1. Maria Victoria Ibañez & Marina Martínez-Garcia & Amelia Simó, 2021. "A Review of Spatiotemporal Models for Count Data in R Packages. A Case Study of COVID-19 Data," Mathematics, MDPI, vol. 9(13), pages 1-23, July.

  3. Gaetano Perone, 2017. "Produttività del lavoro, dinamica salariale e squilibri commerciali nei Paesi dell’Eurozona: un’analisi empirica," Working Papers 0028, ASTRIL - Associazione Studi e Ricerche Interdisciplinari sul Lavoro.

    Cited by:

    1. Bianca Giannini & Chiara Oldani, 2020. "Governance fiscale e sostenibilitˆ del debito pubblico (The sustainability of public debt in the European Union)," Moneta e Credito, Economia civile, vol. 73(292), pages 385-395.

Articles

  1. Gaetano Perone, 2022. "Comparison of ARIMA, ETS, NNAR, TBATS and hybrid models to forecast the second wave of COVID-19 hospitalizations in Italy," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(6), pages 917-940, August.

    Cited by:

    1. Michael R. Johnson & Hiten Naik & Wei Siang Chan & Jesse Greiner & Matt Michaleski & Dong Liu & Bruno Silvestre & Ian P. McCarthy, 2023. "Forecasting ward-level bed requirements to aid pandemic resource planning: Lessons learned and future directions," Health Care Management Science, Springer, vol. 26(3), pages 477-500, September.

  2. Gaetano Perone, 2022. "Using the SARIMA Model to Forecast the Fourth Global Wave of Cumulative Deaths from COVID-19: Evidence from 12 Hard-Hit Big Countries," Econometrics, MDPI, vol. 10(2), pages 1-23, April.

    Cited by:

    1. Dunfrey Pires Aragão & Andouglas Gonçalves da Silva Junior & Adriano Mondini & Cosimo Distante & Luiz Marcos Garcia Gonçalves, 2023. "COVID-19 Patterns in Araraquara, Brazil: A Multimodal Analysis," IJERPH, MDPI, vol. 20(6), pages 1-21, March.

  3. Stefano Lucarelli & Gaetano Perone, 2020. "Quando la produttivitˆ limitata dalla bilancia dei pagamenti. Una riflessione sulle relazioni fra centro e periferia nellÕunione monetaria europea a partire dallÕequazione della produttivitˆ di Sylos ," Moneta e Credito, Economia civile, vol. 73(292), pages 325-353.

    Cited by:

    1. Carlo D'Ippoliti, 2020. "Editorial: books and debates in economics," PSL Quarterly Review, Economia civile, vol. 73(295), pages 279-282.
    2. Stefano Lucarelli, 2022. "Note bibliografiche: ZANINI A. (2022), Ordoliberalismo. Costituzione e critica dei concetti (1933-1973), Bologna: Il Mulino, pp. 567, ISBN: 9788815294746," Moneta e Credito, Economia civile, vol. 75(300), pages 511-515.

  4. Gaetano Perone, 2018. "I costi della criminalità organizzata nel settore agroalimentare italiano," Moneta e Credito, Economia civile, vol. 71(281), pages 37-66.

    Cited by:

    1. Gaetano Perone, 2020. "The impact of agribusiness crimes on food prices: evidence from Italy," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 37(3), pages 877-909, October.
    2. Fabio Clementi & Enzo Valentini, 2018. "Economia irregolare, criminalità e disuguaglianza dei redditi: un circolo vizioso? (Black economy, crime, and income inequality: A vicious cycle?)," Moneta e Credito, Economia civile, vol. 71(284), pages 283-296.
    3. Antonio Pergolizzi, 2018. "L?economia avvelenata del crimine ambientale," Moneta e Credito, Economia civile, vol. 71(284), pages 337-353.
    4. Giacomo Di Gennaro, 2018. "La mimetizzazione dell'attività estorsiva e i diversi tipi di autorità extralegale nei mercati illegali e legali," Moneta e Credito, Economia civile, vol. 71(284), pages 311-335.

  5. Gaetano Perone, 2018. "Produttività del lavoro, dinamica salariale e squilibri commerciali nei Paesi dell'Eurozona: un'analisi empirica," Economia & lavoro, Carocci editore, issue 3, pages 61-98.
    See citations under working paper version above.
  6. Stefano Lucarelli & Gaetano Perone, 2018. "La loggia P2 e il mondo finanziario italiano. Alcune evidenze empiriche basate sulla social network analysis," Moneta e Credito, Economia civile, vol. 71(284), pages 369-390.

    Cited by:

    1. Stefano Lucarelli & Gaetano Perone, 2018. "Economia e criminalità in Italia. Un'introduzione," Moneta e Credito, Economia civile, vol. 71(284), pages 277-282.

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 2 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-ETS: Econometric Time Series (2) 2020-05-11 2020-11-16. Author is listed
  2. NEP-FOR: Forecasting (2) 2020-05-11 2020-11-16. Author is listed
  3. NEP-ORE: Operations Research (2) 2020-05-11 2020-11-16. Author is listed
  4. NEP-BIG: Big Data (1) 2020-11-16. Author is listed
  5. NEP-CMP: Computational Economics (1) 2020-11-16. Author is listed
  6. NEP-GEN: Gender (1) 2020-05-11. Author is listed

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, Gaetano Perone 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.