Assignment 3-STATA PROFICIENCY REQUIRED

1. Ca001_2_ : Is your mother living

This variable records if the mother was still living or deceased. Mothers are influential people in the lives of their children since they are the first people children bond with. The presence or absence of a mother can be analyzed to see how it affects the lifestyle of the child.

2. Ca009_1_: Father’s Highest Level of Education

The level education of the father can determine how the child was raised and how the parent encourages the child’s study. A father who has an advanced degree will definitely want his child to accomplish that as well.

3. Xrgender : Gender of R

There is always a line separating between the male and female gender. This variable is important because it can be used to test how other variables react in terms of gender.

4. Zda007: Chronic Disease

Chronic diseases usually change the lifestyle of an individual. It can also be studied so as we can understand how the life has been affected, or how life is different between those suffering from chronic diseases and those who don’t.

5. Da008: Self Aware of Disease

When a person is aware that they are suffering from a certain disease, they will try to follow doctors advice, take their medicine appropriately and eat foods which would help them. Studying this variable with other will assist us to gauge the health status of the respondents.

6. Da010: Taking any medication of other treatment

Taking medication for known disease will also be used to determine the health status of the respondent.

7. Da017s1: organs having cancer

Cancer is a deadly disease. We can use the responses to see how much it has affected the sample and infer to the community.

8. Zf5 through zf7: Preload Jobstatus Variable

This variable can be use to determine how the respondents are getting their income and their socio-economic activity.

9. G001_w2: Living standards compared to relatives

References

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Zhao, Yaohui, Hu, Yisong, Smith, James P, Strauss, John, & Yang, Gonghuan. (2014). Cohort Profile: The China Health and Retirement Longitudinal Study (CHARLS). Oxford University Press.

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