Advanced Econometrics I
EMET4314/8014
Semester 1, 2025
Assignment 9
(due: Tuesday week 10, 11:00am)
Exercises
Provide transparent derivations. Justify steps that are not obvious. Use self sufficient proofs. Make reasonable assumptions where necessary.
In the lecture we learned about the potential outcomes framework. Translated into a regression model, it can be represented by
where
This looks like a two stage regression in which the slope coefficients are individual-specific. You have iid sample data (Xi
, Yi
, Zi) and compute . From the week 5 lecture you know
where sZY denotes the sample covariance and σZY denotes the population covariance of Zi and Yi (and likewise for the objects in the denominator).
The goal here is to present σZY and σZX in terms of moments of π1i and β1i
. In your deriva-tions, please assume random assignment of Zi so that
(i) Prove that
(Note: π1i was defined in the lecture)
(ii) Prove that
(Note: β1i was defined in the lecture)
Putting things together: = E(β1iπ1i)/E(π1i) + op(1). We called the probability limit the local average treatment effect (LATE).