IDEAS home Printed from https://ideas.repec.org/a/ntu/ntcmss/vol3-iss1-15-018.html
   My bibliography  Save this article

Analyzing the health status of the population using ordinal data

Author

Listed:
  • Maria Livia ŞTEFĂNESCU

    () (Research Institute for Quality of Life Romanian Academy)

Abstract

We intend to estimate the health status of the people using a Gini kind index GO for measuring the inequality and a polarization indicator PO too. The both indices were applied for ordinal health data which were selected from three national representative samplings designed in the period 2003 - 2010 in Romania. The results evaluate the evolution level of the polarization and inequality phenomena in the health domain.

Suggested Citation

  • Maria Livia ŞTEFĂNESCU, 2015. "Analyzing the health status of the population using ordinal data," Computational Methods in Social Sciences (CMSS), "Nicolae Titulescu" University of Bucharest, Faculty of Economic Sciences, vol. 3(1), pages 18-24, June.
  • Handle: RePEc:ntu:ntcmss:vol3-iss1-15-018
    as

    Download full text from publisher

    File URL: http://cmss.univnt.ro/wp-content/uploads/vol/split/vol_III_issue_1/CMSS_vol_III_issue_1_art.002.pdf
    File Function: First version, 2015
    Download Restriction: no

    References listed on IDEAS

    as
    1. Benedicte Apouey, 2007. "Measuring health polarization with self-assessed health data," Health Economics, John Wiley & Sons, Ltd., vol. 16(9), pages 875-894.
    2. José G. Montalvo & Marta Reynal-Querol, 2005. "Ethnic Polarization, Potential Conflict, and Civil Wars," American Economic Review, American Economic Association, vol. 95(3), pages 796-816, June.
    3. Jean-Yves Duclos & Joan Esteban & Debraj Ray, 2004. "Polarization: Concepts, Measurement, Estimation," Econometrica, Econometric Society, vol. 72(6), pages 1737-1772, November.
    4. Wang, You-Qiang & Tsui, Kai-Yuen, 2000. " Polarization Orderings and New Classes of Polarization Indices," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 2(3), pages 349-363.
    5. Abul Naga, Ramses H. & Yalcin, Tarik, 2008. "Inequality measurement for ordered response health data," Journal of Health Economics, Elsevier, vol. 27(6), pages 1614-1625, December.
    6. Joseph Deutsch & Jacques Silber & Gaston Yalonetzky, 2014. "On Bi-Polarization and The Middle Class in Latin America: A Look At the First Decade of the Twenty-First Century," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 60(S2), pages 332-352, November.
    7. David Madden, 2010. "Ordinal and cardinal measures of health inequality: an empirical comparison," Health Economics, John Wiley & Sons, Ltd., vol. 19(2), pages 243-250.
    8. Walter Bossert & William Schworm, 2008. "A Class of Two-Group Polarization Measures," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 10(6), pages 1169-1187, December.
    9. repec:hal:psewpa:halshs-00850014 is not listed on IDEAS
    10. Esteban, Joan & Ray, Debraj, 1994. "On the Measurement of Polarization," Econometrica, Econometric Society, vol. 62(4), pages 819-851, July.
    11. Bénédicte H. Apouey & Jacques Silber, 2013. "Inequality and bi-polarization in socioeconomic status and health: Ordinal approaches," PSE - Labex "OSE-Ouvrir la Science Economique" halshs-00850014, HAL.
    12. Bénédicte H. Apouey, 2010. "On Measuring And Explaining Socioeconomic Polarization In Health With An Application To French Data," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 56(1), pages 141-170, March.
    13. Juan G. Rodríguez & Rafael Salas, "undated". "Extended Bi-Polarization And Inequality Measures," Working Papers 10-03 Classification-JEL , Instituto de Estudios Fiscales.
    14. X. Zhang & R. Kanbur, 2001. "What Difference Do Polarisation Measures Make? An Application to China," Journal of Development Studies, Taylor & Francis Journals, vol. 37(3), pages 85-98.
    15. Chakravarty, Satya R & Majumder, Amita, 2001. "Inequality, Polarisation and Welfare: Theory and Applications," Australian Economic Papers, Wiley Blackwell, vol. 40(1), pages 1-13, March.
    16. Doorslaer, Eddy van & Jones, Andrew M., 2003. "Inequalities in self-reported health: validation of a new approach to measurement," Journal of Health Economics, Elsevier, vol. 22(1), pages 61-87, January.
    17. Martyna Kobus, 2014. "On the measurement of polarization for ordinal data," Working Papers 325, ECINEQ, Society for the Study of Economic Inequality.
    18. Atkinson, Anthony B., 1970. "On the measurement of inequality," Journal of Economic Theory, Elsevier, vol. 2(3), pages 244-263, September.
    19. Allison, R. Andrew & Foster, James E., 2004. "Measuring health inequality using qualitative data," Journal of Health Economics, Elsevier, vol. 23(3), pages 505-524, May.
    20. James Foster & Suman Seth & Michael Lokshin & Zurab Sajaia, 2013. "A Unified Approach to Measuring Poverty and Inequality--Theory and Practice : Streamlined Analysis with ADePT Software," World Bank Publications, The World Bank, number 13731, 05-2018.
    21. Bénédicte H. Apouey & Jacques Silber, 2013. "Inequality and bi-polarization in socioeconomic status and health: Ordinal approaches," Working Papers halshs-00850014, HAL.
    22. James Foster & Michael Wolfson, 2010. "Polarization and the decline of the middle class: Canada and the U.S," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 8(2), pages 247-273, June.
    23. José Garcia Montalvo & Marta Reynal-Querol, 2004. "Ethnic polarization, potential conflict and civil wars," Economics Working Papers 770, Department of Economics and Business, Universitat Pompeu Fabra, revised Mar 2005.
    24. Satya Chakravarty & Bhargav Maharaj, 2012. "Ethnic polarization orderings and indices," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 7(1), pages 99-123, May.
    25. Paul Makdissi & Myra Yazbeck, 2014. "Robust Wagstaff Orderings of Distributions of Self-Reported Health Status," Discussion Papers Series 533, School of Economics, University of Queensland, Australia.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    ordinal data; polarization and inequality indices; health status; SAH data.;

    JEL classification:

    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • I19 - Health, Education, and Welfare - - Health - - - Other
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • C19 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Other

    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:ntu:ntcmss:vol3-iss1-15-018. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Stefan Ciucu). General contact details of provider: http://edirc.repec.org/data/feuntro.html .

    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.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.