Consider the econometric model y = Bo + B1x +u and the OLS estimator B, for B1. We know that: O Var(ŝ1) = Var(Bo) O Var(31) = E[ŝ, - Bi]² O Var(§1) = E[§,]² O Var(B,) = Var(u) if we assume homoskedasticity
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- Suppose you are interested in the causal effect of Xi on Yi and Yi = α + βXi + ϵi. Moreover, cov(Xi , ϵi) = 0. However, you do not observe Yi . Instead, you only observe a proxy for Yi . Denote this proxy Y'i and assume it is related to Yi as follows: Y'i = Yi + µi where cov(µi , ϵi) = cov(µi , Xi) = 0. Suppose you regress Y'i on Xi . Would the resulting coefficient β' provide an unbiased estimate of β?f X1,X2,...,Xn constitute a random sample of size n from a geometric population, show that Y = X1 + X2 + ···+ Xn is a sufficient estimator of the parameter θ.