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Education Effects on Days Hospitalized and Days Out of Work by Gender: Evidence from Turkey

Author

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  • Tansel, Aysit
  • Keskin, Halil Ibrahim
Abstract
The strong relationship between various health indicators and education is widely documented. However, the studies that investigate the nature of causality between these variables became available only recently and provide evidence mostly from developed countries. We add to this literature by studying the causal effect of education on days hospitalized and days out of work for health reasons. We consider two educational reforms. One is the educational expansion of the early 1960s and the other is the 1997 increase in compulsory level of schooling from five to eight years. However, due to the possibility of weak instruments we do not further pursue this avenue. We focus on individuals in two cohorts namely, 1945-1965 which is an older cohort and 1980-1980 which is a younger cohort. We estimate Tobit models as well as Double Hurdle models. The results suggest that an increase in years of education causes to reduce the number of days hospitalized for both men and women unambiguously and the number of days out of work only for men while an increase in education increases the number of days out of work for a randomly selected women.

Suggested Citation

  • Tansel, Aysit & Keskin, Halil Ibrahim, 2017. "Education Effects on Days Hospitalized and Days Out of Work by Gender: Evidence from Turkey," MPRA Paper 83227, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:83227
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    3. Bijwaard, Govert E., 2022. "Educational differences in mortality and hospitalisation for cardiovascular diseases," Journal of Health Economics, Elsevier, vol. 81(C).

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    More about this item

    Keywords

    Education; Days hospitalized; Days out of work; Education reform; Tobit model; Double Hurdle model; Gender; Turkey;
    All these keywords.

    JEL classification:

    • C34 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Truncated and Censored Models; Switching Regression Models
    • C36 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Instrumental Variables (IV) Estimation
    • I15 - Health, Education, and Welfare - - Health - - - Health and Economic Development
    • I26 - Health, Education, and Welfare - - Education - - - Returns to Education
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J18 - Labor and Demographic Economics - - Demographic Economics - - - Public Policy

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