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Analysis of the effects of escrow accounts in Russia using evidence-based policy and machine learning methods

Komotskiy, E. I. ; Fadichev, B. A. ; Detkov, A. A. Simos, Theodore ; Tsitouras, Charalambos

AIP Conference Proceedings, 2023, Vol.2849 (1) [Periódico revisado por pares]

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Título:
Analysis of the effects of escrow accounts in Russia using evidence-based policy and machine learning methods
Autor: Komotskiy, E. I. ; Fadichev, B. A. ; Detkov, A. A.
Simos, Theodore ; Tsitouras, Charalambos
Assuntos: Algorithms ; Construction companies ; Construction industry ; Data analysis ; Loans ; Machine learning ; Questions
É parte de: AIP Conference Proceedings, 2023, Vol.2849 (1)
Descrição: The article analyzes data on new construction projects throughout Russia for the period 2017-2019 in order to answer the question of what effect the introduction of escrow accounts had on the building industry in terms of changes in the construction time of comparable facilities. This change from an economic point of view is due to the fact that construction companies have to actively use credit money, and thus there is a motivation to complete the project as soon as possible in order to avoid additional costs for loans. To answer this question, methods of evidence-based policy are used, in particular, matching based on machine learning algorithms and methods of collecting and analyzing data from websites. The data set obtained in the course of work is unique in terms of analysis of the construction industry in Russia.
Editor: Melville: American Institute of Physics
Idioma: Inglês

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