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Statistical Evaluation Of The Influence Of Determining Factors Of Life Expectancy

Author

Listed:
  • Elisabeta Jaba

    (Faculty of Economics and Business Administration, "Al. I. Cuza" University, Iasi, Romania)

  • Christiana Balan

    (Faculty of Economics and Business Administration, "Al. I. Cuza" University, Iasi, Romania)

  • Silvia Palaşcă

    (Faculty of Economics and Business Administration, "Al. I. Cuza" University, Iasi, Romania)

Abstract

The aim of this paper is to reach the following objectives: to identify the determinants that have significant influence on life expectancy for European countries, in 2007; to measure the significance level of the influence of the determinants on life expectancy; to classify the European countries according to life expectancy and its determining factors. The research is based on the regression method and cluster analysis. The results show that the determining factors of life expectancy, in 2007, for European coun- tries, are: education, gender, health, earnings, and marital status. The influence of these factors is different for life expectancy of male population and for life expectancy of female population. The simi- larities of factors’ influence create clusters of countries.

Suggested Citation

  • Elisabeta Jaba & Christiana Balan & Silvia Palaşcă, 2011. "Statistical Evaluation Of The Influence Of Determining Factors Of Life Expectancy," Analele Stiintifice ale Universitatii "Alexandru Ioan Cuza" din Iasi - Stiinte Economice (1954-2015), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 2011, pages 215-223, july.
    • Handle: RePEc:aic:journl:y:2011:v:se:p:215-223
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    References listed on IDEAS

    as
    1. Niels Lind, 2010. "A Calibrated Index of Human Development," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 98(2), pages 301-319, September.
    2. Krishna Mazumdar, 2001. "Improvements in Life Expectancy: 1960–1995 an Exploratory Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 55(3), pages 303-328, September.
    3. Christiaan Monden, 2010. "Do Measured and Unmeasured Family Factors Bias the Association Between Education and Self-Assessed Health?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 98(2), pages 321-336, September.
    4. Louis Leung, 2010. "Effects of Internet Connectedness and Information Literacy on Quality of Life," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 98(2), pages 273-290, September.
    5. Christiana Balan, 2011. "Statistical Analysis Of The Determinants Of Life Expectancy In Romania," Romanian Journal of Regional Science, Romanian Regional Science Association, vol. 5(2), pages 25-38, DECEMBER.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Iyad Dhaoui, 2019. "Healthcare system efficiency and its determinants: A two-stage Data Envelopment Analysis (DEA) from MENA countries," Working Papers 1320, Economic Research Forum, revised 21 Aug 2019.
    2. Asandului, Laura & Roman, Monica & Fatulescu, Puiu, 2013. "The Efficiency of Healthcare Systems in Europe: a Data Envelopment Analysis Approach," MPRA Paper 58954, University Library of Munich, Germany, revised Apr 2014.
    3. Ignacio Amate-Fortes & Almudena Guarnido-Rueda & Diego Martínez-Navarro & Francisco J. Oliver-Márquez, 2021. "Measuring inequality in income distribution between men and women: what causes gender inequality in Europe?," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(2), pages 395-418, April.

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    More about this item

    Keywords

    Life expectancy; education; health; regression analysis; cluster analysis;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • I15 - Health, Education, and Welfare - - Health - - - Health and Economic Development
    • I25 - Health, Education, and Welfare - - Education - - - Education and Economic Development

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