Digital and Computational Demography


Estimating Fertility Indicators Using Facebook Data

Conducted by Francesco Rampazzo; Francesco C. Billari, Emilio Zagheni, Maria Testa, Ingmar Weber

In many developing countries, timely and accurate information about birth rates and other fertility indicators is still lacking. This project aims at filling the gaps in global estimates of fertility indicators using aggregate and anonymous data from Facebook’s Advertising Platform. Detailed description

Research keywords: Fertility Development; Data and Surveys

Region keywords: World


Rampazzo, F.; Zagheni, E.; Weber, I.; Testa, M.R.; Billari, F. C.:
In: Association for the Advancement of Artificial Intelligence (Ed.): Proceedings of the Twelfth International AAAI Conference on Web and Social Media (ICWSM 2018): 25-28 June 2018, Stanford, California, 672-675. Palo Alto, CA: AAAI Press (2018).

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