Can machine learning predict quantity and duration of migration to the USA?
SeyedSoroosh Azizi, Chigozie Andy Ngwaba, Uche Eseosa Ekhator-Mobayode
| Year of publication: |
2021
|
|---|---|
| Authors: | Azizi, SeyedSoroosh ; Ngwaba, Chigozie Andy ; Ekhator-Mobayode, Uche Eseosa |
| Published in: |
The journal of prediction markets. - Buckingham : Univ. of Buckingham Press, ISSN 1750-6751, ZDB-ID 2388613-4. - Vol. 15.2021, 1, p. 97-107
|
| Subject: | Machine learning | Migration | Prediction | Künstliche Intelligenz | Artificial intelligence | USA | United States | Prognoseverfahren | Forecasting model | Internationale Migration | International migration | Arbeitsmigranten | Migrant workers |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.5750/jpm.v15i1.1859 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012803549