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Sick Days: the Correlation of Education and Health

Sick Days: the Correlation of Education and Health. Brittany Hitz bh9963a@american.edu American University School of International Service. Research Question. Do increased levels of education in mothers lead to decreased absence rates for children?

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Sick Days: the Correlation of Education and Health

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  1. Sick Days: the Correlation of Education and Health Brittany Hitz bh9963a@american.edu American University School of International Service

  2. Research Question • Do increased levels of education in mothers lead to decreased absence rates for children? • What other factors might influence absence rates? Hypothesis • H0 (null): There is no relationship between the Mother’s education and the Child’s school attendance. • H0 (null): There is no relationship between the control variables and the Child’s school attendance. • H1 (research): There is relationship between the Mother’s education and the Child’s school attendance. • H1 (research): There is a relationship between the control variables and the Child’s school attendance.

  3. Literature Review • Maternal Education and Child Health: Is There A Strong Casual Relationship? • by Sonalde Desai and Soumya Alva. • Hypothesis: There is correlation between education and child health, but no direct causation. • Data: Demographic and Health Surveys, a cross-national survey study • Findings: Confirm hypothesis • Pathways between Education and Health: A Causal Modeling Approach • by Tarani Chandola, Paul Clarke, J. N. Morris, and David Blane. • Hypothesis : No direct correlation from education to health, will be explained by different casual mechanisms. • Data: National Child Development Study, a longitudinal study • Findings: Confirm hypothesis

  4. Data The 2007 National Survey of Children’s Health Data Resource Center at Oregon State University. Unit of analysis: Individual households within the United States Dependent Variable: School days missed for illness or injury within last year (d_daysmissed) Interval-Ratio d_daysmissed = b0 + bi_educMom + bi_povertylvl + bi_healthins + bi_gender + bi_age Independent Variable: The highest level of education the mother figure has completed (i_educMom) Ordinal Controls: Derived Poverty Level of Household (i_povertylvl) Ordinal Health insurance coverage(i_healthins) Nominal Gender of child (i_gender) Nominal Age of child (i_age) Interval-ratio

  5. Descriptive Statistics

  6. Bivariate Analysis

  7. Regression Analysis

  8. Conclusions • Fail to reject the null hypothesis • Controls all have relationship with d_daysmissed • More implications for school performance Policy Implications • Advocate training programs for parents

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