Econometric modelling of compound cyclicality of using telecommunication services

Abstract

The aim of this study was to test the effectiveness of an econometric model with dichotomous (binary) explanatory variables in the approximation and prediction of different kinds of cyclicality (annual, monthly, weekly, and daily) of demand for telephone services. The analyses were conducted with the use of data provided by the selected telecommunication network operator. The data included hourly combined demand for specified telephone services (in seconds) of outgoing calls within the framework of the particular subscriber group (business or individual), the given day, the particular month, and the specific category of connection. All kinds of the cyclicality were confirmed in models with 70 explanatory variables (i.e. in models without holidays). The inclusion of the variables set denoting specific holidays improved goodness of the models fit to the data. The econometric modelling of cyclical components and the forecasting of it with the use of dichotomous variables was effective.

Digitalization and the Information Society in Algeria: Digital Transformation Actors and Key Variables

“…The importance of measuring the information transformation within societies lies in identifying the extent of what they have accomplished on the path to their transformation into an information society (Kaczmarczyk, 2021). The measurement process enabled to define the following objectives: providing the basis of information and data to guide decision-makers and contribute to the formulation of macro--level technology policies to address partial imbalances, and measuring the level of information maturity, which allows for the comparative process between different countries and international groups, examined at the level of the digital divide between countries as such.…”