2020
DOI: 10.4054/demres.2020.42.37
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Mobile phones, digital inequality, and fertility: Longitudinal evidence from Malawi

Abstract: Introduction 2 Background and context 2.1 Conceptual background 2.2 Study context 3 Data, measures, and methods 3.1 Key fertility measures 3.2 Key measures of mobile phone ownership 3.3 Micro-level analogs to the proximate determinants of fertility 3.4 Time-varying control variables 3.5 Analytic approach 3.5.1 Cox proportional hazard models 3.5.2 TLT-2 (2015) cross-section 4 Results 4.1 Balaka's digital divide: Mobile phone ownership, 2009-2015 4.2 Mobile phone ownership and fertility: A bivariate view 4.3 Mob… Show more

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Cited by 24 publications
(19 citation statements)
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“…There could be an eventual top‐down diffusion of marriage and childbearing practices across socioeconomic class that eventually gives way to demographic convergence, with the less well‐off changing their behavior as influenced by the dominant cultural model, or the more well‐off changing their behavior to match that of the majority (Frye and Lopus 2018). In line with this possibility, a recent study suggests that mobile phones may be increasing the downward diffusion of elite ideals, which may lead to different outcomes for future cohorts (Billari, Rotondi, and Trinitapoli 2020). Alternatively, if the elite continue to be distinct, and the behaviors of nonelite women do not converge, this will surely stall any further rise in the overall age at first marriage and first birth, and may be an important vehicle for broader inequality.…”
Section: Discussionmentioning
confidence: 99%
“…There could be an eventual top‐down diffusion of marriage and childbearing practices across socioeconomic class that eventually gives way to demographic convergence, with the less well‐off changing their behavior as influenced by the dominant cultural model, or the more well‐off changing their behavior to match that of the majority (Frye and Lopus 2018). In line with this possibility, a recent study suggests that mobile phones may be increasing the downward diffusion of elite ideals, which may lead to different outcomes for future cohorts (Billari, Rotondi, and Trinitapoli 2020). Alternatively, if the elite continue to be distinct, and the behaviors of nonelite women do not converge, this will surely stall any further rise in the overall age at first marriage and first birth, and may be an important vehicle for broader inequality.…”
Section: Discussionmentioning
confidence: 99%
“…Diffused ideas and technologies are received and reinterpreted, gaining new meaning in different contexts and impelling or constraining actions pertaining to fertility choice. Research has stressed the important role information and mass media play in shaping beliefs regarding family limitation (Westoff and Koffman 2011), and empirical support for these pathways vis-a `-vis radio, television, and mobile phones has been found (Billari, Rotondi, and Trinitapoli 2020;Jensen and Oster 2009;La Ferrara, Chong, and Duryea 2012). Theoretically, we anticipate that through the aforementioned mechanisms of increased access to communication and exchange, information, and globalized media content, mobile phones might be capable of spurring the diffusion of novel beliefs alongside the transformation and re-elaboration of gender ideologies, in line with a world-society discourse.…”
Section: Theoretical Perspectivesmentioning
confidence: 99%
“…For example, in the German context, Dettling (2017) finds that the diffusion of the internet promotes labor force participation among married women and Billari, Giuntella, and Stella (2019) find that the internet enables women to better reconcile work and motherhood, thereby boosting well-being and (wanted) fertility. Conversely, in a high-fertility setting in Malawi, mobile phone ownership among women is associated with smaller ideal family size, lower parity, and increased child spacing (Billari, Rotondi, and Trinitapoli 2020). Work by Beck et al (2014) and Lagan, Sinclair, and Kernohan (2011) suggests that women are more likely to draw on the internet to empower themselves regarding health-related information.…”
Section: Digital Gender Inequalitymentioning
confidence: 99%