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Scenario Modeling in Health System Management Perm Region (Part 2)

Authors :
A. N. Tsatsulin
B. A. Tsatsulin
Source :
Управленческое консультирование, Vol 0, Iss 3, Pp 98-109 (2021)
Publication Year :
2021
Publisher :
North-West institute of management of the Russian Presidential Academy of National Economy and Public Administration, 2021.

Abstract

In continuation of the article, the authors of the study devoted to the problems of scenario modeling and solving specific problems of management and development of the health care system of the Perm Territory, built the author’s dynamic multivariate model, which was based on an authoritative approach and consists of a set of five structural simultaneous equations. As a result, each equation of the system is a linear form of recursive regression, where the independent variable as a factor-factor taken into account in one equation becomes a depend- ent variable as an effective factor-factor. In order to eliminate the phenomenon of autocor- relation of residual values, the method of time lagging was used. To estimate the parameters of the reduced form of structural simultaneous equations, the two-step least squares method was used as a special case of the maximum likelihood method. The obtained parameter esti- mates on the whole turned out to be effective with moderate consistency and satisfactory bias. The constructed model made it possible to carry out a short-term forecast of the most important target socio-economic indicator of the success of healthcare development in the region until 2023. The authors considered the national goal as such a priority indicator — the expected (future) life expectancy of the population of the study area. At the end of the article, conclusions were drawn and the prospects for further scientific research of the authors were outlined.

Details

Language :
English, Russian
ISSN :
17261139 and 18168590
Issue :
3
Database :
Directory of Open Access Journals
Journal :
Управленческое консультирование
Publication Type :
Academic Journal
Accession number :
edsdoj.b91ba18a01f24906b724f23b22979dc5
Document Type :
article
Full Text :
https://doi.org/10.22394/1726-1139-2021-3-98-109