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来源类型Report
规范类型报告
DOIhttps://doi.org/10.7249/RRA1563-1
来源IDRR-A1563-1
Using social media data to 'nowcast' international migration around the globe
Andreas Culora; Emma Thomas; Eliane Dufresne; Matthew Cefalu; Clement Fays; Stijn Hoorens
发表日期2021-12-16
出版年2021
页码161
语种英语
结论 Using social media data to 'nowcast' international migration around the globe | RAND
摘要

The aim of this study was to develop a methodological tool to 'nowcast' migrant stocks by using real-time data from the Facebook Marketing Application Programming Interface (API) and official migration data from EU member states and states in the United States. To meet this aim, RAND researchers collected real-time data that could provide estimates of migrant stocks in the countries of interest from the Facebook Marketing API, along with migrant-stocks data from official sources from 2010 onwards, and developed a Bayesian model capable of combining the Facebook and official migration data to nowcast stocks of migrants in EU member states and US states. The model developed in this study is capable of producing near real-time nowcasts for each source of official statistics, which can serve as an early-warning system to anticipate 'shock events' and rapid migration trends that would otherwise be captured too late or not at all by official migration data sources. This tool therefore enables decision-makers to make informed, evidence-based policy decisions in the rapidly changing social policy sphere of international migration. The study also provides a useful example of how to combine 'big data' with traditional data to improve measurement and estimation which can be applied to other social and demographic phenomena. Suggestions for future work include continued data collection activities to extend the temporal overlap between Facebook data and official migration statistics, nowcasting migrant stocks for demographic subgroups, and exploring alternative specifications for the Bayesian model to improve the accuracy of the nowcasts.

目录
  • Chapter One

    Introduction

  • Chapter Two

    Traditional and new data to estimate international migrant stocks

  • Chapter Three

    Data sources for international migrant stock estimates

  • Chapter Four

    Methodology to nowcast international migration

  • Chapter Five

    Migrant stock nowcasting results

  • Chapter Six

    Concluding remarks

  • Annex A

    Migration data annual time series

  • Annex B

    Facebook Marketing API data monthly time series

  • Annex C

    Example data

  • Annex D

    Detailed description of all official data sources collected

  • Annex E

    Lists of corridor clusters

主题Big Data ; Demographics ; Exploratory Modeling ; Migration ; Social Media Analysis
URLhttps://www.rand.org/pubs/research_reports/RRA1563-1.html
来源智库RAND Corporation (United States)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/524658
推荐引用方式
GB/T 7714
Andreas Culora,Emma Thomas,Eliane Dufresne,et al. Using social media data to 'nowcast' international migration around the globe. 2021.
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