This research will apply multivariate regression model with data mainly from Young Lives Survey for identifying significant determinants of early child health. Specifically, this research is expected to investigate impacts of health programs on early child health which are useful for planning an effective health policy. Health planners need such information to plan and set priorities for intervention strategies to improve early child health.
The research questions are:
1) How private and public determinants affect on the early child health?
2) How are interaction effects between maternal schooling level variable and community level variables?
Under-5 children are investigated objects of this research. Their anthropometric Z-score (e.g. weight-for-age, height-for-age, and weight-for-height) are used as proxies for their health and nutritional status. Data is used in this study mainly from Young Live Survey 2006. This research will apply quantitative method to answer two research questions. Multivariate regression model is used as quantitative method for identifying the significant determinants as well as successful health/nutrition intervention program for planning an effective early children development programs in the future.
This thesis is organized into 5 chapters. Except the introduction chapter, the rest of this study consists of 4 chapters: Chapter 2: Literature Review starts with definition of children, child health, and child health?s measurement. Theoretical framework as well as empirical studies relating to child health and nutrition will be reviewed then. Finally, analytical framework with suggested multivariate regression model is presented. Chapter 3: An overview of Child Health in Vietnam. The background of child health and nutrition in Vietnam will be discussed further based on dataset of Young Lives Survey. Chapter 4: Empirical Analysis of Child Health in Vietnam. This chapter starts with variable description. Finally, the regression model, estimation strategy, regression results, and their interpretation will be presented. This chapter also summarizes the findings of this study as well as some policy recommendations.
This research will apply multivariate regression model with data mainly from Young Lives Survey for identifying significant determinants of early child health. Specifically, this research is expected to investigate impacts of health programs on early child health which are useful for planning an effective health policy. Health planners need such information to plan and set priorities for intervention strategies to improve early child health.
The research questions are:
1) How private and public determinants affect on the early child health?
2) How are interaction effects between maternal schooling level variable and community level variables?
Under-5 children are investigated objects of this research. Their anthropometric Z-score (e.g. weight-for-age, height-for-age, and weight-for-height) are used as proxies for their health and nutritional status. Data is used in this study mainly from Young Live Survey 2006. This research will apply quantitative method to answer two research questions. Multivariate regression model is used as quantitative method for identifying the significant determinants as well as successful health/nutrition intervention program for planning an effective early children development programs in the future.
This thesis is organized into 5 chapters. Except the introduction chapter, the rest of this study consists of 4 chapters: Chapter 2: Literature Review starts with definition of children, child health, and child health?s measurement. Theoretical framework as well as empirical studies relating to child health and nutrition will be reviewed then. Finally, analytical framework with suggested multivariate regression model is presented. Chapter 3: An overview of Child Health in Vietnam. The background of child health and nutrition in Vietnam will be discussed further based on dataset of Young Lives Survey. Chapter 4: Empirical Analysis of Child Health in Vietnam. This chapter starts with variable description. Finally, the regression model, estimation strategy, regression results, and their interpretation will be presented. This chapter also summarizes the findings of this study as well as some policy recommendations.