Methodological aspects of studying the resource potential of pension provision as a modeling and forecasting object

Occupation: Manager
Affiliation: Department of the Pension and Social Insurance Fund of the Russian Federation in the Republic of Tatarstan
Address: Kazan, Russian Federation

Sergey Kiselev

Occupation: director
Affiliation: Kazan National Research Technological University
Address: Kazan, Russian Federation

Journal name

Obshchestvo i ekonomika

Edition

Issue 9

Pages

69-83

Abstract

The article deals with the methodological aspects of the study of the resource potential of pension system as an object of modeling and forecasting. The author states that the functioning of the pension system in difficult political, socio-economic and demographic conditions actualizes the need to use a set of methods for modeling and forecasting both pension obligations and insurance premiums. The conceptual scheme of the methodology for forecasting the resource potential of the state pension system is substantiated and the methodological principles are formulated.

Keywords

resource potential of the pension system, pension provision, state pension system, modeling and long-term forecasting, methodological principles for forecasting the potential of pension resources

Received

29.09.2023

Publication date

29.09.2023

Number of characters

31250

Cite

GOST	Vafin E., Kiselev S. Methodological aspects of studying the resource potential of pension provision as a modeling and forecasting object // Obshchestvo i ekonomika – 2023. – Issue 9 C. 69-83 [Electronic resource]. URL: https://oie.jes.su/S020736760024872-8-1 (circulation date: 20.05.2024). DOI: 10.31857/S020736760024872-8
MLA	Vafin, Eduard, Kiselev, Sergey "Methodological aspects of studying the resource potential of pension provision as a modeling and forecasting object." Obshchestvo i ekonomika 9 (2023):69-83. DOI: 10.31857/S020736760024872-8
APA	Vafin E., Kiselev S. (2023). Methodological aspects of studying the resource potential of pension provision as a modeling and forecasting object. Obshchestvo i ekonomika (9), pp.69-83 DOI: 10.31857/S020736760024872-8

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