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(I guess this question is little advanced

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(I guess this question is little advanced. Please run this file of data on STATA to determine if you think you are okay to figure out this question. thank you if you are okay with this piece?

https://www.dropbox.com/s/i9lcxxg182r2klh/ED_Analysis_File%20%281%29.dta?dl=0?

3. For this problem, you will be using the data from Anderson, Dobkin, and Gross (Review of Economics and Statistics, 2014), who study the effect of health insurance coverage on healthcare use by exploiting the fact that many private health insurance plans covered dependents who are full-time students until age 23. 1 1 This question is partially based on teaching material from Maya Rossin-Slater.

 

a. Download ED_Analysis_File.dta from Blackboard. The following are the three variables that will be used for this question:

months_23: number months away from age 23 (0 = month of 23rd birthday)

self_all_np: share of individuals uninsured

all_np_r: number of ED visits per 10,000 person years

 

b. Generating a graph showing the share of individuals who are uninsured by month of age, using observations who are 22- to 24-year-old.

 

c. What do you notice at age 23? How can you use this for a regression discontinuity design to study the effect of health insurance coverage on healthcare use?

 

d. Generating a graph showing the number of ED visits per 10,000 person years by month of age, using observations who are 22- to 24-year-old.

 

e. Based on the graphs you have generated, does having health insurance increase or decrease ED visits?

 

f. What is the biggest limitation of regression discontinuity design?

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