Towards causal forecasting of international migration
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Cited by:
- Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022.
"Forecasting: theory and practice,"
International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
- Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
- James Raymer & Xujing Bai & Nan Liu, 2020. "The dynamic complexity of Australia’s immigration and emigration flows from 1981 to 2016," Journal of Population Research, Springer, vol. 37(3), pages 213-242, September.
- Hamid Akin Unver, 2022. "Using Social Media to Monitor Conflict-Related Migration: A Review of Implications for A.I. Forecasting," Social Sciences, MDPI, vol. 11(9), pages 1-14, September.
- Dino Pitoski & Thomas J. Lampoltshammer & Peter Parycek, 2021. "Drivers of Human Migration: A Review of Scientific Evidence," Social Sciences, MDPI, vol. 10(1), pages 1-16, January.
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