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Modelling life expectancy in Turkey

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  • Halicioglu, Ferda

Abstract

This study is concerned with understanding the factors of life expectancy in Turkey for the period 1965-2005. The determinants of life expectancy in Turkey are related to selected social, economical and environmental factors. Bounds testing approach to cointegration is employed to compute the long-run elasticities of longevity with respect to the selected economic, social and environmental factors. There exists no previous study that estimates empirically the determinants of life expectancy in Turkey on the basis of time series data and cointegration framework. Empirical results suggest that nutrition and food availability along with health expenditures are the main positive factors for improving longevity whereas smoking seems to be the main cause for mortality. The results also draw a number of policy recommendations for improving longevity.

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  • Halicioglu, Ferda, 2010. "Modelling life expectancy in Turkey," MPRA Paper 30840, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:30840
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    5. Ferda HALICIOGLU, 2012. "The Demand for Calories in Turkey," Iktisat Isletme ve Finans, Bilgesel Yayincilik, vol. 27(316), pages 93-108.
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    12. Abdalali Monsef & Abolfazl Shahmohammadi Mehrjardi, 2015. "Determinants of Life Expectancy: A Panel Data Approach," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 5(11), pages 1251-1257, November.
    13. Edney, L.C. & Haji Ali Afzali, H. & Cheng, T.C. & Karnon, J., 2018. "Mortality reductions from marginal increases in public spending on health," Health Policy, Elsevier, vol. 122(8), pages 892-899.
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    More about this item

    Keywords

    life expectancy; econometrics; cointegration; elasticities; Turkey.;
    All these keywords.

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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