How well can we estimate immigration trends using Google data?
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DOI: 10.1007/s11135-020-01047-w
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Cited by:
- Nathan Wycoff & Lisa O. Singh & Ali Arab & Katharine M. Donato & Helge Marahrens, 2024. "The digital trail of Ukraine’s 2022 refugee exodus," Journal of Computational Social Science, Springer, vol. 7(2), pages 2147-2193, October.
- Konstantin Boss & Finja Krueger & Conghan Zheng & Tobias Heidland & Andre Groeger, 2023. "Forecasting Bilateral Refugee Flows with High-dimensional Data and Machine Learning Techniques," Working Papers 1387, Barcelona School of Economics.
- Bronitsky, Georgy & Vakulenko, Elena, 2024. "Using Google Trends to forecast migration from Russia: Search query aggregation and accounting for lag structure," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 73, pages 78-101.
- Joop Age Harm Adema & Maitreyee Guha, 2022. "Following the Online Trail of Ukrainian Refugees through Google Trends," CESifo Forum, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 23(04), pages 62-66, July.
- Tjaden, Jasper & Heidland, Tobias, 2024. "Did Merkel's 2015 decision attract more migration to Germany?," Open Access Publications from Kiel Institute for the World Economy 294184, Kiel Institute for the World Economy (IfW Kiel).
- Tjaden, Jasper Dag & Heidland, Tobias, 2021. "Does welcoming refugees attract more migrants? The myth of the "Merkel effect"," Kiel Working Papers 2194, Kiel Institute for the World Economy (IfW Kiel).
- Bert Leysen & Pieter-Paul Verhaeghe, 2023. "Searching for migration: estimating Japanese migration to Europe with Google Trends data," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(5), pages 4603-4631, October.
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Keywords
Big data; Forecasting; Immigration trends; Migration estimates; Switzerland;All these keywords.
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