Abstract
In Italy the duration of civil proceedings is considered unduly excessive. Nevertheless, there are few studies aimed at identifying the determinants of the proceedings’ duration. The data analysed in this study are civil proceedings registered at the Court of Milan. The variables considered in the study are: year of proceedings registration; whether proceedings were first or review; roll (type of proceedings); date of the first hearing and number of judicial hearings; number of parties and lawyers; closure; age of the judge at the time of proceedings’ closure. The analysis makes it possible to observe that the duration of a case is influenced both by uncontrollable factors often related to the complexity of the case (such as the jurisdiction, the number of lawyers and therefore of parties, the judgement) and by factors that could be influenced to reduce the duration, such as the number of judicial hearings or the time fixed for the hearing.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
Notes
Survival analysis is a statistical technique that allows to compare the “mortality” of several different procedures.
Logistic regression is used to measure the relationships among several variables; it makes it possible to ascertain the risk, that is, the probability, that a given event will take place.
References
Efron, B.: Logistic regression, survival analysis, and the Kaplan-Meier Curve. J. Am. Stat. Assoc. 83(402), 414–425 (1988)
European Commission for the Efficiency of Justice (CEPEJ): Report on European judicial systems—Edition 2014: efficiency and quality of justice (2012)
Faggiano F., Donato F., Barbone F.: Manuale di epidemiologia per la sanità pubblica. Centro Scientifico Editore, Rome (2005)
Marubini, E., Valsecchi, M.: Analisi della sopravvivenza in sperimentazioni cliniche controllate e nelle osservazioni pianificate. Edizioni a cura del centro Zambon-Milano, Bresso (1987)
Rich, J.T., Neely, J.G., Paniello, R.C., Voelker, C.C., Nussenbaum, B., Wang, E.W.: A practical guide to understanding Kaplan-Meier curves. Otolaryngol. Head Neck Surg. 143, 331–336 (2010)
Santacroce G.: Relazione sull’amministrazione della giustizia nell’anno 2013. Corte Suprema di Cassazione (2014)
Tripepi, G., Catalano, F.: L’analisi della sopravvivenza con il metodo di Kaplan-Meier. G. Ital. Nefrol. 6, 540–546 (2004)
Acknowledgements
The author thanks for their invaluable cooperation Prof Monica Ferraroni (Università degli Studi di Milano), Prof Adriano Decarli and Prof Carlo La Vecchia (Università degli Studi di Milano), Liliane Chatenuod and Cristina Bosetti (Istituto Mario Negri).
Author information
Authors and Affiliations
Corresponding author
Additional information
This present research is an extract from the author’s doctorate thesis in biomedical statistics; in it the statistical techniques typically used in epidemiology are used to identify the factors that determine the duration of civil judicial proceedings.
Rights and permissions
About this article
Cite this article
Filomeno, M. Some predictive factors of the duration of civil proceedings: an analysis performed about the Court of Appeal of Milan. Lett Mat Int 4, 151–159 (2017). https://doi.org/10.1007/s40329-016-0144-2
Published:
Issue Date:
DOI: https://doi.org/10.1007/s40329-016-0144-2