2015 | 4 (50) | 62-78
Article title

Zastosowanie funkcji przynależności w analizie subiektywnego postrzegania jakości życia

Title variants
Application of membership function in the analysis of subjective perception of quality of life
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In this paper a multivariate analysis of the subjective perception of quality of life is undertaken. In the analysis methods of a fuzzy set theory are applied. The study is conducted on data from the Social Diagnosis 2013. It includes 16 items relating to the evaluation of satisfaction with particular aspects of life. Each of these items is measured on a 7-grade scale. The item’s categories are converted into a [0, 1] interval by using a membership function. In order to aggregate items into synthetic indicators various systems of weights are used. It is found that the choice of weights does not significantly affect the distribution of synthetic indicators. In the next stage, the subjective perception of the quality of life in different socio- -demographic groups is analyzed. It is found that such characteristics as gender, place of residence, size of household, education level and age are important determinants of subjective perception of quality of life.
Physical description
  • Au N., Johnston D.W., 2014, Self-assessed health: What does it mean and what does it hide?, Social Science & Medicine, vol. 121, s. 21-28.
  • Betti G., Verma V., 1999, Measuring the degree of poverty in a dynamic and comparative context: a multidimensional approach using fuzzy set theory, Proceedings of the ICCS-VI. Lahore. Pakistan, vol. 11, s. 289-301.
  • Betti G., Verma V., 2008, Fuzzy measures of the incidence of relative poverty and deprivation: a multi-dimensional perspective, Statistical Methods and Applications, vol. 17(3), s. 225-250.
  • Betti G., Soldi R., Talev I., 2015, Fuzzy multidimensional indicators of quality of life: the empirical case of Macedonia, Social Indicators Research (w druku).
  • Blanchflower D.G., Oswald A., 2004, Well-being over time in Britain and the US, Journal of Public Economics, vol. 88(7-8), s. 1359-1386.
  • Caner A., 2015, Happiness and life satisfaction in Turkey in recent years, Social Indicators Research. (w druku).
  • Cerioli A., Zani S., 1990, A Fuzzy Approach to the Measurement of Poverty, [w:] Dagum C., Zenga M. (eds.), Income and Wealth Distribution, Inequality and Poverty, Studies in Contemporary Economics, Springer Verlag, Berlin, s. 272-284.
  • Cheli B., Lemmi A., 1995, A ’totally’ fuzzy and relative approach to the multidimensional analysis of poverty, Economic Notes, vol. 24(1), s. 115-134.
  • Christoph B., 2010, The relation between life satisfaction and the material situation: A re-evaluation using alternative measures, Social Indicators Research, vol. 98(3), s. 475-499.
  • Corazzini L., Esposito L., Majorano F., 2012, Reign in hell or serve in heaven? A cross-country journey into the relative vs absolute perceptions of wellbeing, Journal of Economic Behavior & Organization, vol. 81(3), s. 715-730.
  • Cracolici M.F., Giambona F., Cuffaro M., 2012, The determinants of subjective economic well-being: an analysis on Italian-SILC data, Applied Research Quality Life, vol. 7(1), s. 17-47.
  • Czapiński J., 2014, Indywidualna jakość i styl życia, [w:] J. Czapiński, T. Panek (red.), Diagnoza Społeczna 2013 – warunki i jakość życia Polaków – raport, Warszawa.
  • Czapiński J., Panek T. (red.), 2014, Diagnoza Społeczna 2013 – Warunki i jakość życia Polaków – raport, Warszawa.
  • D’Ambrosio C., Frick, J., 2007, Income satisfaction and relative deprivation: An empirical link, Social Indicators Research, vol. 81(3), s. 497-519.
  • Degutis M., Urbonavicius S., 2013, Determinants of subjective wellbeing in Lithuania, Inzinerine Ekonomika, vol. 24(2), s. 111-118.
  • Desai M., Shah A., 1988, An econometric approach to the measurement of poverty, Oxford Economic Papers, vol. 40(3), s. 505-522.
  • Dudek H., 2009, Subjective aspects of economics poverty – ordered response model approach, [w:] Quality of Life Improvement through Social Cohesion, Research Papers of Wrocław Uniwersity of Economics, nr 73, s. 9-24.
  • Eurostat 2002, European social statistics: Income, poverty and social exclusion, 2nd report, Office for Official Publications of the European Communities, Luxembourg.
  • Filippone A., Cheli B., D’Agostino A., 2001, Addressing the interpretation and the aggregation problems in totally fuzzy and relative poverty measures, ISERWorking Paper Series nr 2001–22, University of Essex.
  • Gerdtham U.-G., Johannesson M., 2001, The relationship between happiness, health, and socioeconomic factors: results based on Swedish microdata, Journal of Socio-Economics, vol. 30(6), s. 553-557.
  • Guio A. C., 2009, What can be learned from deprivation indicators in Europe?, Eurostat Methodologies and Working Paper, Eurostat, Luxembourg.
  • Jakość życia w Polsce – edycja 2014, Główny Urząd Statystyczny, Warszawa.
  • Kakwani N., Silber J. (eds.), 2008, Quantitative approaches to multidimensional poverty measurement, Palgrave-Macmillan, London.
  • Kakwani N., Silber J. (eds.), 2007, The Many Dimensions of Poverty, Palgrave-Macmillan, London.
  • Marans R.W., Stimson R.J. (red.), 2011, Investigating Quality of Urban Life: Theory, Methods, and Empirical Research, Springer, Dordrecht, Heidelberg, London, New York.
  • Mieszkańcy Polski o swojej jakości życia, 2014, Główny Urząd Statystyczny, Warszawa.
  • Panek T. (red.), 2007, Statystyka społeczna, PWE, Warszawa.
  • Panek T., 2009, Wskaźniki ubóstwa w ujęciu wielowymiarowym, Wiadomości Statystyczne, nr 12, s. 1-20.
  • Panek T., 2011, Ubóstwo. wykluczenie społeczne i nierówności. Teoria i praktyka pomiaru, Oficyna Wydawnicza Szkoły Głównej Handlowej w Warszawie, Warszawa.
  • Pi Alperin M.N., Van Kerm P., 2014, MDEPRIV: Stata module to compute synthetic indicators of multiple deprivation, Statistical Software Components S457806, Boston College Department of Economics.
  • Pierewan A.C., Tampubolon G., 2015, Happiness and health in Europe: A multivariate multilevel model, Applied Research in Quality of Life, vol. 10(2), s. 237-252.
  • Silles M.A., 2009, The causal effect of education on health: Evidence from the United Kingdom, Economics of Education Review, vol. 28, s. 122-128.
  • Somarriba N., Pena B., 2008, Quality of life and subjective welfare in Europe: an econometric analysis, Applied Econometrics and International Development, vol. 8(2), s. 55-66.
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