By Rolla Hassan Ph.D.
Based on Dr. Raúl L. Katz’s studies in the field of broadband economics and policy. He has developed various models to analyze broadband demand, including a model based on regression analysis.
Regression analysis is a statistical technique used to estimate the relationship between two or more variables. In the context of broadband demand, regression analysis can be employed to identify the factors that influence the adoption and usage of broadband services. By examining the relationship between these variables, the model can provide insights into market demand and forecast future trends.
A demand model was conducted based on Rual Katz’s model. Considering the availability of 144 data countries from ITU and World Bank.
The gap between supply and demand for fixed broadband is illustrated in the figure below.
Dr. Katz’s broadband demand model based on regression analysis is a valuable tool for assessing and predicting broadband demand. Analyzing the relationship between various factors and broadband adoption provides insights into the underlying drivers of demand and helps inform decision-making processes in the telecommunications and broadband industry.
Telecom Analysis 
Leave a comment