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Measuring Venezuelan Emigration with Twitter

Author

Listed:
  • Ricardo Hausmann

    (Center for International Development at Harvard University)

  • Julian Hinz
  • Muhammed A. Yildirim

    (Center for International Development at Harvard University)

Abstract

Venezuela has seen an unprecedented exodus of people in recent months. In response to a dramatic economic downturn in which inflation is soaring, oil production tanking, and a humanitarian catastrophe unfolding, many Venezuelans are seeking refuge in neighboring countries. However, the lack of official numbers on emigration from the Venezuelan government, and receiving countries largely refusing to acknowledge a refugee status for affected people, it has been difficult to quantify the magnitude of this crisis. In this note we document how we use data from the social media service Twitter to measure the emigration of people from Venezuela. Using a simple statistical model that allows us to correct for a sampling bias in the data, we estimate that up to 2.9 million Venezuelans have left the country in the past year.

Suggested Citation

  • Ricardo Hausmann & Julian Hinz & Muhammed A. Yildirim, 2018. "Measuring Venezuelan Emigration with Twitter," CID Working Papers 342, Center for International Development at Harvard University.
  • Handle: RePEc:cid:wpfacu:342
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    File URL: https://growthlab.cid.harvard.edu/files/growthlab/files/ven_emigration_cidwp342.pdf
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    Cited by:

    1. Groeger, Andre & León-Ciliotta, Gianmarco & Stillman, Steven, 2024. "Immigration, labor markets and discrimination: Evidence from the Venezuelan Exodus in Perú," World Development, Elsevier, vol. 174(C).
    2. Konstantin Boss & Andre Groeger & Tobias Heidland & Finja Krueger & Conghan Zheng, 2023. "Forecasting Bilateral Refugee Flows with High-dimensional Data and Machine Learning Techniques," Working Papers 1387, Barcelona School of Economics.
    3. Sergio Olivieri & Francesc Ortega & Ana Rivadeneira & Eliana Carranza, 2022. "The Labour Market Effects of Venezuelan Migration in Ecuador," Journal of Development Studies, Taylor & Francis Journals, vol. 58(4), pages 713-729, April.
    4. Spyridon Spyratos & Michele Vespe & Fabrizio Natale & Ingmar Weber & Emilio Zagheni & Marzia Rango, 2019. "Quantifying international human mobility patterns using Facebook Network data," PLOS ONE, Public Library of Science, vol. 14(10), pages 1-22, October.
    5. Demirci, Murat, 2023. "Youth responses to political populism: Education abroad as a step toward emigration," Journal of Comparative Economics, Elsevier, vol. 51(2), pages 653-673.
    6. Mattia Mazzoli & Boris Diechtiareff & Antònia Tugores & Willian Wives & Natalia Adler & Pere Colet & José J Ramasco, 2020. "Migrant mobility flows characterized with digital data," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-20, March.

    More about this item

    Keywords

    migration; social media;

    JEL classification:

    • F22 - International Economics - - International Factor Movements and International Business - - - International Migration
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis

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