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Use R or Python to perform all necessary calculations.Use R or Python to perform all necessary calculations. Attach your code and output. Give interpretation and

Use R or Python to perform all necessary calculations.Use R or Python to perform all necessary calculations. Attach your code and output. Give interpretation and discuss all relevant statistical measures. All datasets are available in the causaldata package in R.
Problem 5.(20 points) Show that the usual IV estimand for dichotomous treatment,
(EY|ZE(A|Z)=1-E(A|Z=0)=1)-E(A|Z=0)=1 can also be obtained using the two-stage least squares
estimator:
Fit a first stage treatment linear regression treatment model E(A|Z)=0+1**Z and
calculate predicted values E.hat (A|Z)= alpha.hat0+alpha1.hat*Z.
Fit a second stage outcome linear regression model E(Y|Z)=0+1*E. hat (A|Z). Then,
beta1.hat will always be equal the usual IV estimand.
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