Author
Listed:
- Aksanat Zh. Panzabekova
(Institute of Economics of the Science Committee of the Ministry of Education and Science of the Republic of Kazakhstan)
- Ivan E. Digel
(Institute of Economics of the Science Committee of the Ministry of Education and Science of the Republic of Kazakhstan)
Abstract
Relevance. Life expectancy is a comprehensive indicator reflecting the quality of life in a country or region, which is why it is important to estimate the impact of various socio-economic factors on this indicator as accurately as possible. Our study makes a novel contribution to the existing research by conducting a correlation and regression analysis of factors affecting life expectancy in regions of Kazakhstan based on panel data. Research objective. This paper aims to present a modified methodology for estimation of factors affecting life expectancy in regions of Kazakhstan. Data and methods. Our research relies on panel data on regions and cities of Kazakhstan. The data are provided by the Ministry of National Economy and the Ministry of Health Care of the Republic of Kazakhstan. Methodologically, the research is based on regression and correlation analysis. The two main criteria were applied for data selection: availability of statistical data for a sufficiently long period and the potential impact of factors on life expectancy. We built a two-factor power regression model calculated with the help of software package Microsoft Excel. Results. In our research, regression models were used to formulate conclusions concerning the impact of certain socio-economic factors on life expectancy in regions of Kazakhstan. We also brought to light the factors whose relationship to life expectancy requires further investigation. Conclusions. It was found that the most significant factors affecting life expectancy in regions of Kazakhstan are economic ones. The proposed methodology can be used for short- and medium-term predictions of life expectancy.
Suggested Citation
Aksanat Zh. Panzabekova & Ivan E. Digel, 2020.
"Factors affecting life expectancy in Kazakhstan,"
R-Economy, Ural Federal University, Graduate School of Economics and Management, vol. 6(4), pages 261-270.
Handle:
RePEc:aiy:journl:v:6:y:2020:i:4:p:261-270
DOI: 10.15826/recon.2020.6.4.023
Download full text from publisher
More about this item
Keywords
;
;
;
;
;
;
;
JEL classification:
- C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
- J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts
- O55 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Africa
Statistics
Access and download statistics
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aiy:journl:v:6:y:2020:i:4:p:261-270. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Irina Turgel (email available below). General contact details of provider: https://edirc.repec.org/data/seurfru.html .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.