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

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 approa...

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Main Authors: A. N. Tsatsulin, B. A. Tsatsulin
Format: Article
Language:English
Published: North-West institute of management of the Russian Presidential Academy of National Economy and Public Administration 2021-05-01
Series:Управленческое консультирование
Subjects:
Online Access:https://www.acjournal.ru/jour/article/view/1668
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spelling doaj-b91ba18a01f24906b724f23b22979dc52021-09-10T11:50:41ZengNorth-West institute of management of the Russian Presidential Academy of National Economy and Public Administration Управленческое консультирование1726-11391816-85902021-05-01039810910.22394/1726-1139-2021-3-98-1091439Scenario Modeling in Health System Management Perm Region (Part 2)A. N. Tsatsulin0B. A. Tsatsulin1North-West Institute of Management of RANEPABaltic Academy of Tourism and EntrepreneurshipIn 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.https://www.acjournal.ru/jour/article/view/1668management decisionforecastplanscenarioriskthreatprobabilitynational economyhealth care systemforthcoming (expected) life expectancyeconometric modelstatistical estimationrandom component
collection DOAJ
language English
format Article
sources DOAJ
author A. N. Tsatsulin
B. A. Tsatsulin
spellingShingle A. N. Tsatsulin
B. A. Tsatsulin
Scenario Modeling in Health System Management Perm Region (Part 2)
Управленческое консультирование
management decision
forecast
plan
scenario
risk
threat
probability
national economy
health care system
forthcoming (expected) life expectancy
econometric model
statistical estimation
random component
author_facet A. N. Tsatsulin
B. A. Tsatsulin
author_sort A. N. Tsatsulin
title Scenario Modeling in Health System Management Perm Region (Part 2)
title_short Scenario Modeling in Health System Management Perm Region (Part 2)
title_full Scenario Modeling in Health System Management Perm Region (Part 2)
title_fullStr Scenario Modeling in Health System Management Perm Region (Part 2)
title_full_unstemmed Scenario Modeling in Health System Management Perm Region (Part 2)
title_sort scenario modeling in health system management perm region (part 2)
publisher North-West institute of management of the Russian Presidential Academy of National Economy and Public Administration
series Управленческое консультирование
issn 1726-1139
1816-8590
publishDate 2021-05-01
description 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.
topic management decision
forecast
plan
scenario
risk
threat
probability
national economy
health care system
forthcoming (expected) life expectancy
econometric model
statistical estimation
random component
url https://www.acjournal.ru/jour/article/view/1668
work_keys_str_mv AT antsatsulin scenariomodelinginhealthsystemmanagementpermregionpart2
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