Understanding Mobile Internet Access and Data Plan Choice in Brazil: A Machine Learning Approach
Keywords:
internet adoption, information and communication technology, digital education, mobile phone usage, ICT access, digital skills
Abstract
This paper applies the Elastic Net Machine Learning technique to choose the variables that best represent the characteristics of mobile internet use in Brazil. We use regularized models to estimate the importance of a large number of variables, including socioeconomic attributes, internet and device utilization patterns, and digital skills to explain (a) access to the internet through mobile devices and (b) choice of mobile data plan. After identifying the most important variables, we estimate their marginal effects on the two dependent variables with nonlinear econometric models. The results suggest that socioeconomic characteristics and user skills have significant explanatory power in both estimations. Specifically, barriers such as age, income, and skill gaps persist, hindering inclusive mobile internet adoption. Conditional on mobile internet use, these characteristics are more common among postpaid internet data plan subscribers. Moreover, communication skills like messaging and social media use stand out regarding internet access, whereas internet utilization patterns (on the move and at work) have high explanatory power in the data plan choice.
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W Adamczyk, P Ehrl, L Monasterio (2024) Skills and employment transitions in brazil. 163(2), 199-224.
M Aljebreen, H Mengash, F Kouki, A Motwakel (2023) Improved artificial ecosystem optimizer with deep-learning-based insect detection and classification for agricultural sector. 15(20), 14770.
Marcelo De Araujo, Nicolau Reinhard (2019) Substituting Computers for Mobile Phones? An Analysis of the Effect of Device Divide on Digital Skills in Brazil. 142-154.
Susan Athey (2019) The Impact of Machine Learning on Economics. 507-552.
Thiago Caldeira, Philipp Ehrl, Tito Moreira (2023) Fiscal decentralization and tax collection: evidence from the rural property tax in Brazil. 78, 102396.
Rong Chen (2021) A Demand-Side View of Mobile Internet Adoption in the Global South.
S.-Y Chen, P.-H Lin, Y.-H Lai, C.-J Liu (2024) Enhancing education on aurora astronomy and climate science awareness through augmented reality technology and mobile learning. 16(13), 5465.
S Chohan, G Hu (2022) Strengthening digital inclusion through e-government: cohesive ict training programs to intensify digital competency. 28(1), 16-38.
F Coelho, T Silva, P Ehrl (2019) Internet access in brazilian households: Evaluating the effect of an economic recession. 716-725.
S Dasgupta, S Lall, D Wheeler (2005) Policy reform, economic growth and the digital divide. 33(2), 229-243.
R De Almeida, P Ehrl, T Moreira (2021) Social and economic convergence across brazilian states between 1990 and 2010. 157(1), 225-246.
Michael Demoussis, Nicholas Giannakopoulos (2006) Facets of the digital divide in Europe: Determination and extent of internet use. 15(3), 235-246.
W Dutton, C Di Gennaro, A Hargrave (2005) The Internet in Britain: The Oxford Internet Survey (OxIS).
B Reisdorf (2017) Cultural divides and digital inequalities: attitudes shaping internet and social media divides. 22(1), 18-38.
Philipp Ehrl, Leonardo Monasterio (2019) Skill concentration and persistence in Brazil. 53(11), 1544-1554.
(2021) Spatial skill concentration agglomeration economies. 61(1), 140-161.
(2024) Inherited cultural diversity and wages: surname-based evidence. 24(4), 595-614.
G Pereira, V Zanchi (2022) Lending and regional growth in brazil: the development bank bndes versus private and public banks. 52, 503-532.
Rebecca Eynon (2009) Mapping the digital divide in Britain: implications for learning and education. 34(4), 277-290.
A Geniets (2016) The digital skills paradox: how do digitally excluded youth develop skills to use the internet? Learning. 41(3), 463-479.
Amy Gonzales (2015) The contemporary US digital divide: from initial access to technology maintenance. 19(2), 234-248.
M Heinz, P Martin, J Margrett, M Yearns, W Franke, H.-I Yang, J Wong, C Chang (2013) Perceptions of technology among older adults. 39(1), 42-51.
Rebecca Kiconco, Gerrit Rooks, Giacomo Solano, Uwe Matzat (2019) A skills perspective on the adoption and use of mobile money services in Uganda. 35(5), 724-738.
M Kuhn, K Johnson (2013) Applied predictive modeling. 26.
R Larose, K Demaagd, H Chew, H.-Y Tsai, C Steinfield, S Wildman, J Bauer (2012) Measuring sustainable broadband adoption: an innovative approach to understanding broadband adoption and use. 6, 2576-2600.
Eden Litt (2013) Measuring users' internet skills: A review of past assessments and a look toward the future. 15(4), 612-630.
Sophie Lythreatis, Sanjay Singh, Abdul-Nasser El-Kassar (2022) The digital divide: A review and future research agenda. 175, 121359.
Kathryn Mac Callum, Lynn Jeffrey (2013) The influence of students' ICT skills and their adoption of mobile learning. 29(3), 303-314.
Francisca Mariano, Edward Costa, Daniel Guimarães, Daniel Sousa (2018) Diferenciais de Rendimentos entre Raças e Gêneros, nas Regiões Metropolitanas, por Níveis Ocupacionais: uma análise através do pareamento de Ñopo. 48(1), 137-173.
Will Marler (2018) Mobile phones and inequality: Findings, trends, and future directions. 20(9), 3498-3520.
M Martínez-Domínguez, J Mora-Rivera (2020) Internet adoption and usage patterns in rural mexico. 60, 101226.
Pankaj Mehta, Marin Bukov, Ching-Hao Wang, Alexandre Day, Clint Richardson, Charles Fisher, David Schwab (2019) A high-bias, low-variance introduction to Machine Learning for physicists. 810, 1-124.
Marislei Nishijima, Terry Ivanauskas, Flavia Sarti (2017) Evolution and determinants of digital divide in Brazil (2005-2013). 41(1), 12-24.
R Ochoa, S Lach, T Masaki, C Rodríguez-Castelán (2022) Mobile internet adoption in west africa. 68, 101845.
M Olumekor, H Singh, I Alhamad (2024) Online grocery shopping: Exploring the influence of income, internet access, and food prices. 16(4), 1545.
L Reis, P Ehrl (2023) Design evaluation of the universalization fund for telecommunication services in brazil. 23(23), 1-17.
F Riggins, S Dewan (2005) The digital divide: Current and future research directions. 6(12), 4.
Anique Scheerder, Alexander Van Deursen, Jan Van Dijk (2017) Determinants of Internet skills, uses and outcomes. A systematic review of the second- and third-level digital divide. 34(8), 1607-1624.
Laura Schiavon, Lucas Moreira (2022) An overview of broadband connectivity: insights from Brazil/ Panorama sobre a conectividade de banda larga: insights para o Brasil. 8(3), 19128-19141.
T Silva, F Coelho, P Ehrl, B Tabak (2020) Internet access in recessionary periods: The case of brazil. 537, 122777.
Alexander Van Deursen, Jan Van Dijk (2011) Internet skills and the digital divide. 13(6), 893-911.
A Van Deursen, J Van Dijk (2014) Digital skills: Unlocking the information society.
Alexander Van Deursen, Jan Van Dijk (2018) The first-level digital divide shifts from inequalities in physical access to inequalities in material access. 21(2), 354-375.
María Vicente, Ana López (2011) Assessing the regional digital divide across the European Union-27. 35(3), 220-237.
M Vimalkumar, J Singh, S Sharma (2021) Exploring the multilevel digital divide in mobile phone adoption: A comparison of developing nations. 23, 1057-1076.
S.-M Wong, C.-M Leong, C.-H Puah (2020) Mobile internet adoption in malaysian suburbs: The moderating effect of gender. 9(3), 90-114.
Bingbin Wu, Linping Wang, Lin Yao (2023) A Mechanistic Study of the Impact of Digital Payments on Rural Household Development Resilience. 15(14), 11203.
Tai-Kuei Yu, Mei-Lan Lin, Ying-Kai Liao (2017) Understanding factors influencing information communication technology adoption behavior: The moderators of information literacy and digital skills. 71, 196-208.
Roman Zakharov, Pierre Dupont (2011) Ensemble Logistic Regression for Feature Selection. 133-144.
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2025-04-26
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