Estimation of Air Traffic Loss at Toulouse Blagnac Airport after September 11, 2001 Attacks

Abstract

Given a time series that reacts to an intervention, this article illustrates two points: (1) how simulations, either based on a normality assumption or through bootstrapping, can help us measure the impact of the intervention not necessarily on the mean but on functionals of the time series; and (2) how backcasting the series can help finding the time interval necessary for the series to recover a regular dynamic after the intervention. The methodology has been developed using an ARIMA model, but could equivalently be based on alternative models such as basic structural models, or on exponential smoothing.