## 3 Materials and Methods
\begin{table}
\begin{tabular}{p{142.3 pt} p{142.3 pt} p{142.3 pt}} \hline \hline
**Aspect** & **Findings in Mexico (from the Study)** & **Comparable Findings in Other Countries** \\ \hline Broadband Access & Significant disparities exist between urban and rural areas, with urban regions having more consistent broadband access. The study emphasizes the role of fiber optics in reducing digital disparities over time. & In Southeast Asia, broadband access is linked to GDP growth, but urban–rural divides remain prominent. Similarly, China and India report significant urban–rural disparities affecting digital inclusion [30, 31]. \\ \hline Socioeconomic Impact & Broadband access is correlated with regional GDP growth in Mexico. Households with multiple telecommunications services are more likely to have broadband, highlighting economic inequality in access. & In Sub-Saharan Africa, mobile networks primarily drive socioeconomic development, while Latin American countries, including Brazil, show GDP growth linked to broadband expansion and service bundling [30, 32]. \\ \hline Technological Adoption & Fixed broadband and fiber optic technologies show a correlation with multi-service adoption, though fiber optic has yet to become dominant. Cable modem usage is declining in favor of higher-speed options. & Countries like South Korea and China report a shift towards fiber optics and high-speed options, while mobile broadband remains crucial for connectivity in rural areas of Nigeria and Kenya [33, 34]. \\ \hline Public Policy and Investment & The study advocates targeted investment in broadband and infrastructure in underserved areas to bridge the digital divide and support economic growth. & Similar recommendations are found in studies from ASEAN and the Middle East, where public investment in telecommunications infrastructure is tied to both economic growth and digital inclusivity [35, 36]. \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Comparative analysis of telecommunications findings in Mexico and other countries. accurate predictions about technology adoption likelihoods. Moreover, logistic regression is advantageous over other models due to its relative simplicity and robustness in handling multicollinearity, as indicated by the model's use of correlation matrices to assess relationships between telecommunications services, infrastructure variables, and digital access. This alignment with logistic regression allows for the generation of clear, actionable insights into how digital inclusion initiatives should be prioritized across Mexico. Thus, logistic regression is justified as an optimal choice within the article's framework due to its predictive reliability, interpretability, and alignment with the binary nature of the digital divide assessment. In the data analyzed in this study, we have tables (from 2015 to 2023) that contain various indicators of telecommunications service penetration and household equipment by federal entity. Among the variables are  
* Fixed telephony, fixed broadband, restricted television, analog and digital television. * Computer equipment, radio devices. * Distribution of services in households (none, one, two, or three services). * Broadband connection technologies (cable modem, DSL, fiber optic, other technologies). Table 3 shows the correlation between broadband access, telecommunications services, and technology adoption in households. It highlights strong relationships between fixed broadband, computer equipment, and the subscription to multiple services, while also revealing weaker links with older technologies like cable modems. The correlation analysis reveals strong relationships between fixed broadband access, technological infrastructure, and the adoption of multiple services. A high correlation (0.87) between fixed broadband and computer equipment suggests that households with greater access to technology are more likely to adopt broadband services.