IDEAS home Printed from
   My bibliography  Save this article

Multidimensional Health Modelling: Association between Socioeconomic Factors and Health in Latvia


  • Irina Možajeva

    () (University of Latvia, Riga, Latvia)


This paper proposes new approach for modelling self-assessed health. We find that the concept of health is too complicated to measure effects of health determinants using a one-dimensional econometric model. We apply two-dimensional stereotype logistic model that allows capturing nonmonotonicity in effects of factors and revealing significant effects that remain unrevealed if single dimension models, such as ordered logit or ordered probit, are used. Modelling self-assessed health using multi-dimensional stereotype logit provides higher model goodness of fit and quality measures in comparison to ordered probit model. Multi-dimensional stereotype logit is applied to estimate association between socioeconomic factors and self-assessed health in Latvia. While research on socioeconomic determinants of health in Latvia is scarce, this paper provides new insights into the problem.

Suggested Citation

  • Irina Možajeva, 2012. "Multidimensional Health Modelling: Association between Socioeconomic Factors and Health in Latvia," Economic Research Guardian, Weissberg Publishing, vol. 2(2), pages 160-179, December.
  • Handle: RePEc:wei:journl:v:2:y:2012:i:2:p:160-179

    Download full text from publisher

    File URL:
    Download Restriction: no

    References listed on IDEAS

    1. Carmen M. Reinhart & Kenneth S. Rogoff, 2010. "Growth in a Time of Debt," American Economic Review, American Economic Association, vol. 100(2), pages 573-578, May.
    2. Mofidi, Alaeddin & Stone, Joe A, 1990. "Do State and Local Taxes Affect Economic Growth?," The Review of Economics and Statistics, MIT Press, vol. 72(4), pages 686-691, November.
    Full references (including those not matched with items on IDEAS)

    More about this item


    Self-assessed health; Socioeconomic determinants; Nonmonotonicity; Stereotype logit;

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection


    Access and download statistics


    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:wei:journl:v:2:y:2012:i:2:p:160-179. 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: (Mihai Mutascu). General contact details of provider: .

    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 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.

    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.