I need help constructing the Stata log regression command to estimate the unadjusted and adjusted program impacts without using a difference-in-difference model. The dataset is in the wide format with one line for each subject. The data includes two outcome measures of interest, SCORE (the result of an academic achievement test administered to all sample members during September 2016), and ABSENT (the number of days absent during the first 3-months of the academic year 2016).There are also baseline (pre-intervention) measures of the same constructs (PASTSC AND PASTAB), taken in May 2016.You will also find some covariates (information about school, class size, racial/ethnic background, and past mentoring experience of the subject)--(black hispanic whiteoth kennedy classize program pastment)

This assignment uses data on a mentoring program that was conducted in two New York City high schools (John F. Kennedy High and Washington Irving High).The program was targeted to students in these schools who were absent frequently from class and were felt to be at risk of dropping out of school.Mentors were chosen from among graduates of each school.The mentors were assigned to spend several evenings per week over the summer of 2016 working with program participants on basic academic skills.

Below are all of the variables:

black hispanic whiteoth kennedy classize program score pastsc absent pastab pastment 

black ethnic group: black (0 or 1)

hispanic ethnic group: hispanic (0 or1)

whiteoth ethnic group: white-oth (0 or1)

kennedy john f. Kennedy high (0 or1)

classize class size

program program dummy (0 or1)

score score at follow-up

pastsc score at application

absent days abs at follow-up.

pastab days abs 3 mo. before app.

postment ever in mentoring before (0 or1)

1) Please help me construct the Stata log regression command to estimate the unadjusted and adjusted program impacts without using a difference-in-difference model. I was unable to post or paste the .dta file and will be happy to provide if needed.

Thank you