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Persistent link: https://www.econbiz.de/10014284822

Identifying and correcting bias in big crowd-sourced online genealogies

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Who takes care of whom in the United States? : time transfers by age and sex

Dukhovnov, Denys; Zagheni, Emilio - In: Population and development review 41 (2015) 2, pp. 183-206

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Racial disparities in deaths related to extreme temperatures in the United States between 1993 and 2005

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COVID-19 and the future of US fertility: what can we learn from Google?

Wilde, Joshua; Chen, Wei; Lohmann, Sophie - 2020

We use data from Google Trends to predict the effect of the COVID-19 pandemic on future births in the United States. First, we show that periods of above-normal search volume for Google keywords relating to conception and pregnancy in US states are associated with higher numbers of births in the...

Persistent link: https://www.econbiz.de/10012296246

COVID-19 and the future of US fertility : what can we learn from Google?

Wilde, Joshua; Chen, Wei; Lohmann, Sophie - In: Covid economics : vetted and real-time papers (2020) 54, pp. 158-190

Persistent link: https://www.econbiz.de/10012311916

Digital trace data and demographic forecasting : how well did Google predict the US COVID-19 baby bust?

Wilde, Joshua; Chen, Wei; Lohmann, Sophie; Ghany, … - In: Population and development review 50 (2024), pp. 421-446

Persistent link: https://www.econbiz.de/10015116797