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The Determinants Of Medicine Use In Romania

Author

Listed:
  • DÄ‚NUÈš-VASILE JEMNA

    (Alexandru Ioan Cuza University of IaÅŸi, Faculty of Economics and Business Administration, IaÅŸi, Romania)

  • LUCIA CIUBOTARU

    (Alexandru Ioan Cuza University of IaÅŸi, Doctoral School of Economics and Business Administration, IaÅŸi, Romania
    Alexandru Ioan Cuza University of IaÅŸi, Faculty of Economics and Business Administration, IaÅŸi, Romania)

  • MIHAELA DAVID

    („Gh. Zane“ Institute for Economic and Social Research – Romanian Academy, Iași Branch, Iaşi, Romania)

Abstract

For Romania's population, the highest share of total health services use corresponds to the use of pharmaceutical services, for which the state covers less than 60% of health expenditure. This leads people to use their financial resources to cover their health needs, which creates further disparities in the use of medicines. Therefore, the aim of this paper is to study the impact of socio-economic, health and health behaviour factors on the use of prescribed and self-prescribed medicines using probit models. This analysis is based on data from the European Health Interview Survey 2014 (EHIS 2014) and is explored at the whole population level and separately for two age groups (less than 65 years, 65 years and over). Overall, the empirical findings highlight that the determinants of pharmaceutical consumption differ by type of medicines and age group.

Suggested Citation

  • Dä‚Nuèš-Vasile Jemna & Lucia Ciubotaru & Mihaela David, 2021. "The Determinants Of Medicine Use In Romania," Review of Economic and Business Studies, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, issue 28, pages 65-81, December.
  • Handle: RePEc:aic:revebs:y:2021:j:28:jemnad
    DOI: 10.47743/rebs-2021-2-0003
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    More about this item

    Keywords

    Romanian public health system; medicines use; EHIS 2014; recursive bivariate probit model.;
    All these keywords.

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation

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