Article ID: | iaor201527437 |
Volume: | 31 |
Issue: | 4 |
Start Page Number: | 1127 |
End Page Number: | 1137 |
Publication Date: | Oct 2015 |
Journal: | International Journal of Forecasting |
Authors: | Giovannetti Emanuele, DIgnazio Alessio |
Keywords: | forecasting: applications |
Early studies on forecasting the growth of the Internet suggested that its evolution could not be predicted as being simply the result of a random network formation process. Recent evidence has shown that commercial connectivity goes through cycles, due to providers regularly disconnecting their customers. We model these cycles as being a result of the providers’ limited ability to monitor their customers’ contractual compliance. Based on twelve years of quarterly observations, we estimate the impacts of key covariates on the probability of starting a