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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Hlavní autoři:	Dean Fantazzini, Julia Pushchelenko, Alexey Mironenkov, Alexey Kurbatskii
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2021-10-01
Edice:	Forecasting
Témata:	migration forecasting Google Trends VAR co-integration ARIMA
On-line přístup:	https://www.mdpi.com/2571-9394/3/4/48
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