In many developing countries, timely and accurate information about birth rates and other demographic indicators is still lacking, especially for male fertility rates. Using anonymous and aggregate data from Facebook's Advertising Platform, we produce global estimates o... View more
[AbouZahr et al. 2015] AbouZahr, C.; de Savigny, D.; Mikkelsen, L.; Setel, P. W.; Lozano, R.; Nichols, E.; Notzon, F.; and Lopez, A. D. 2015. Civil registration and vital statistics: progress in the data revolution for counting and accountability. The Lancet 386(10001):1373-1385.
[Adair et al. 2014] Adair, L. E.; Brase, G. L.; Akao, K.; and Jantsch, M. 2014. #babyfever: Social and media influences on fertility desires. Personality and Individual Differences 71:135-139.
[Araújo et al. 2017] Araújo, M.; Mejova, Y.; Weber, I.; and Benevenuto, F. 2017. Using facebook ads audiences for global lifestyle disease surveillance: Promises and limitations. In WebSci, 253-257.
[Bellou 2015] Bellou, A. 2015. The impact of Internet diffusion on marriage rates: evidence from the broadband market.
Journal of Population Economics 28(2):265-297.
[Billari and Zagheni 2017] Billari, F. C., and Zagheni, E.
2017. Big Data and Population Processes: A Revolution? SocArXiv.
[Billari 2016] Billari, F. C. 2016. Internet and the Timing of Births. In Giornate di Studio sulla Popolazione 2017.
[Bongaarts and Blanc 2015] Bongaarts, J., and Blanc, A. K.
2015. Estimating the current mean age of mothers at the birth of their first child from household surveys. Population Health Metrics 13:25.