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Main arrow Archive of previous Issues arrow ╣5 2013 (33) arrow Mathematical methods to assess factors affecting population health in the Russian regions (panel analysis)
Mathematical methods to assess factors affecting population health in the Russian regions (panel analysis) Print
Tuesday, 12 November 2013

E.V. Molchanova1, M.M. Kruchek2
1Institute of economics of the Karelian Research centre of the Russian Academy of Sciences, Petrozavodsk
2Petrozavodsk state university

Summary. Health is the basis for public wellbeing of the nation, its economic and social prosperity. Study of the social and economic, environmental and psychological factors that affect medical and demographic trends is a topical issue for the modern scientific community. Complexity of this problem is that it is interdisciplinary in nature and its solution requires joint efforts of experts in different fields of knowledge; application of methods of mathematical statistics is important as well.

The aim of the work. The article identifies factors that have significant impact on the main health indicatorľlife expectancy.

Methods. The study is based on the Rosstat data ("Regions of Russia", "Health care in Russia"). At the first phase of the analysis information on the constituent entities of the Russian Federation for 2005-2010 was presented in the form of a special system that includes the following blocks: medico-demographic indicators, social and demographic structure of the population, social and economic development, access to medical services, climatic and natural conditions, and social stress. At the second phase, proceeding from the preliminary analysis, the most significant characteristics were selected. Then they were divided into groups so that the intra-group correlation of factors was relatively big, but small between. Method of correlation pleiades is one of the methods allowing for such operation. Creation of correlation pleiades helped to distinguish two main groups of characteristics: socio-economic indicators and social stress factors. This was followed by the panel data regression analysis. Panel data consist of observations of the same economic units or objects (firms, regions, countries, etc.), that are implemented in successive periods of time. Thanks to special structure the panel data allow to develop more flexible and substantial models. Scientific literature distinguishes three regression models according to panel data: pooled model, fixed effect model, and random effect model.

Results and Conclusions. Calculations outlined in the article found out that the fixed effect model helps to get a meaningful and valid simulation option, which can be used to evaluate the main demographic indicator - life expectancy in the Russian regions, depending on the socio-economic development, health care and social stress factor

Scope of application. The study results help to identify areas of work to decrease social and economic burden of diseases and improve quality of life of the population.

Keywords: medico-demographic situation; region; health; life expectancy; causes of death.

References

  1. Atlas of demographic development of Russia. Osipov GV, Ryazantsev SV, editors. ╠oscow: Ekonomicheskoe obrazovanie; 2009. 220 p. (In Russian).
  2. Velichkovskiy BT. Social stress, labor motivation and health. Byulleten' sibirskoy meditsiny 2005;(3):5-19. (In Russian).
  3. Healthcare in Russia 2011. Statistical collection. ╠oscow: Rosstat, 2011. 326 p. (In Russian).
  4. Kruchek MM, Molchanova EV. Study of health and demographic processes in Russian regions using the method of regression analysis by panel data. Regional'naya ekonomika: teoriya i praktika 2013; 297(18): 41ľ50. (In Russian).
  5. Lukashev AM, Prokhorov BB, Shilenko YuV. Public health and healthcare management. ╠oscow: " Overley" Publishing House; 2005. 392 p. (In Russian).
  6. Magnus YaR, Katyshev PK, Peresetskiy AA. Econometrics. 6-th ed., rev and add. ╠oscow: Delo; 2004, 576 p. (In Russian).
  7. Medik VA, Tokmachev MS. Mathematical statistics in medicine: Training Manual. ╠oscow: Finansy i statistika; 2007, 800 p. (In Russian).
  8. Ratnikova TA. Analysis of panel data in the źStata╗ packet. Methodical recommendations to źEconomic analysis of panel data╗ computer practical course. ╠oswcow: Higher School of Economics; 2004, 40 p. (In Russian).
  9. Regions of Russia. Social and economic indicators 2012 Statistical collection. ╠oscow: Rosstat, 2012. 990 p. (In Russian).
  10. Rimashevskaya NM. Social policy of population saving: radical changes in a negative trend of population health. Ekonomicheskie i sotsial'nye peremeny: fakty, tendentsii, prognoz 2010; 12 (4). p. 48-61. (In Russian).
  11. Rimashevskaya NM, Migranova LA, Molchanova EV. Factors affecting Russian population health. Narodonaseleniye 2011; 51 (1). p. 38-49. (In Russian).
  12. Badi H. Baltagi. Econometric Analysis of Panel Data. 3rd ed. 2005. 316 p.

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