Forecasting Internal Migration in Russia Using Google Trends: Evidence from Moscow and Saint Petersburg

This paper examines the suitability of Google Trends data for the modeling and forecasting of interregional migration in Russia. Monthly migration data, search volume data, and macro variables are used with a set of univariate and multivariate models to study the migration data of the two Russian ci...

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Bibliographic Details
Published in:Forecasting
Main Authors: Dean Fantazzini, Julia Pushchelenko, Alexey Mironenkov, Alexey Kurbatskii
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Subjects:
migration
forecasting
Google Trends
VAR
co-integration
ARIMA
Online Access:https://www.mdpi.com/2571-9394/3/4/48

Internet

https://www.mdpi.com/2571-9394/3/4/48

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