Interaction among three substitute products: an extended innovation diffusion model

Claudia Furlan, Cinzia Mortarino () and Mohammad Salim Zahangir
Additional contact information
Claudia Furlan: University of Padova
Cinzia Mortarino: University of Padova
Mohammad Salim Zahangir: University of Padova

Statistical Methods & Applications, 2021, vol. 30, issue 1, No 11, 269-293

Abstract: Abstract In this paper, we propose a model to describe the mutual interactions among the lifecycles of three substitute products acting simultaneously in a common market, thus competing for the same customers or cooperating to supply demand. To date, the literature only describes models for two competitors; therefore, the present work represents the first attempt at creating and implementing a model for three actors. The new model is applied to real data in the energy context, and its performance is compared to the performance of current models for two competitors. Regarding the datasets examined, the new model shows a relevant improvement in terms of forecasting performance, that is forecasting accuracy and prediction confidence band width.

Keywords: Competition; Nonlinear models; Diffusion models; Forecasting accuracy; Energy (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s10260-020-00524-8 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:stmapp:v:30:y:2021:i:1:d:10.1007_s10260-020-00524-8

Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10260/PS2

DOI: 10.1007/s10260-020-00524-8

Access Statistics for this article

Statistical Methods & Applications is currently edited by Tommaso Proietti

More articles in Statistical Methods & Applications from Springer, Società Italiana di Statistica
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().