Work

Features of the Algorithm for Forecasting the Possible Level of Incoming Migration From Foreign Countries

Year: 2025

Type: article

Abstract: The article is devoted to an objective assessment of impact factors and taking into account potentials when forecasting scenarios of changes in incoming migration from foreign countries, which was carried out using statistical methods for estimating time series, correlation and regression modeling and forecasting. A mechanism for correcting errors in forecasting the analyzed migration processes is proposed.

Source: Russian Journal of Management

DOI: 10.29039/2500-1469-2025-13-3-303-316

Authors: Sergey Agapov, Tat'yana Agapova

Institution: Moscow University of the Ministry of Internal Affairs of Russia

Language: English

Topic: Forecasting Techniques and Applications

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: diamond

OpenAlex ID: W4410929646

FWCI:

Cites: 1

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Related to: 10