Economics Paper 10 Pages(Due In 24 Hours)

*1 eststo control: estpost sum newreg contact busy age female vote98 vote00 vote02 if treat_real==0 eststo treatment: estpost sum newreg contact busy age female vote98 vote00 vote02 if treat_real==1 eststo difference: estpost ttest newreg contact busy age female vote98 vote00 vote02, by (treat_real)unequal esttab control treatment difference using "HW1.csv", cells("mean(pattern(1 1 0) fmt(3))sd(pattern(1 1 0) fmt(3)) b(star pattern(0 0 1) fmt (3))p(pattern(0 0 1) fmt(4))") title("HW1.csv")label replace plain *2Yes, it is correctly implemented, the treated and untreated groups are nearly the same, shows they are randomly enough. *3 ttest vote02, by(treat_real) *t-stat (3.5212) is higher than the t-critical,and the p-value 0.0002 is small.it is statistically significant, yet not large in a practical sense. *4 reg vote02 treat_real outreg2 using "reg_1.txt", replace nonote se label bdec(3) tab treat_real, summarize(vote02) reg vote02 treat_real newreg outreg2 using "reg_1.txt", replace nonote se label bdec(3) reg vote02 treat_real newreg contact outreg2 using "reg_1.txt", replace nonote se label bdec(3) reg vote02 treat_real newreg contact outreg2 using "reg_1.txt", replace nonote se label bdec(3) reg vote02 treat_real newreg contact age outreg2 using "reg_1.txt", replace nonote se label bdec(3) reg vote02 treat_real newreg contact age female outreg2 using "reg_1.txt", replace nonote se label bdec(3) reg vote02 treat_real newreg contact age female vote98 outreg2 using "reg_1.txt", replace nonote se label bdec(3) reg vote02 treat_real newreg contact age female vote98 vote00 outreg2 using "reg_1.txt", replace nonote se label bdec(3) reg vote02 treat_real newreg contact age female vote98 vote00 state outreg2 using "reg_1.txt", replace nonote se label bdec(3) *5 *more covariates leads to more precision and less bias. *6 *we won't get unbiased estimate of the causal effect because of the selection bais. not all the people will answer the phone due to all sorts of different reasons.