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1)    Select and code a Y variable and a series of X variables that you plan to examine in your final paper.
X:
    m5addwk, which indicate if the mother worked additional hours.
    m5workstrain

Y: p5q3cv (Child is unhappy, sad, or depressed)
2)    Explain which functional form of regression models you will be using to model your Y variable and why.
3)    Estimate a regression model in which Y is predicted by your key X, with no additional control variables.
4)    Estimate a multivariate regression model that predicts Y with your key X, as well as a selection control variables that you think might influence their relationship.
5)    Interpret your findings:
a.    Describe the relationship between Y and your “key X” (from the regression in Step 3).
b.    How does the relationship between Y and your key X change when additional covariates are considered?
c.    Do any of your covariates have a significant and noteworthy relationship with your Y variable? Describe the relationships.
6)    Use the estout command to summarize your results in a regression table. Format the table as if for a journal article.
7)    Discuss the validity of your conclusions, in terms of internal, external, and construct validity.

Please turn in a .do file with your final code, and .log and Word files to support your answers where relevant.





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