Question: 18.13 Consider the heterogeneous regression model Yi = b0i + b1iXi + ui, where b0i and b1i are random variables that differ from one observation
18.13 Consider the heterogeneous regression model Yi = b0i + b1iXi + ui, where b0i and b1i are random variables that differ from one observation to the next. Suppose that E(ui Xi) = 0 and (b0i, b1i) are distributed independently of Xi and that the observational units are randomly drawn from the population.
a. Let b nOLS 1 denote the OLS estimator of b1 given in Equation (18.2). Show that b nOLS 1 ¡ p E(b1), where E(b1) is the average value of b1i in the population. [Hint: See Equation (13.10).]
b. Suppose that var(ui Xi) = u0 + u1X2i
, where u0 and u1 are known positive constants. Let b nWLS 1 denote the weighted least squares estimator.
Does b nWLS 1 ¡ p E(b1)? Explain.
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