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

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  • Irina Možajeva

    (University of Latvia, Riga, Latvia)

Abstract

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
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    More about this item

    Keywords

    Self-assessed health; Socioeconomic determinants; Nonmonotonicity; Stereotype logit;
    All these keywords.

    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

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