expand icon
book Introductory Econometrics 4th Edition by Jeffrey Wooldridge cover

Introductory Econometrics 4th Edition by Jeffrey Wooldridge

Edition 4ISBN: 978-0324660609
book Introductory Econometrics 4th Edition by Jeffrey Wooldridge cover

Introductory Econometrics 4th Edition by Jeffrey Wooldridge

Edition 4ISBN: 978-0324660609
Exercise 5
Assume that the model y = X + u satisfies the Gauss-Markov assumptions and let Assume that the model y = X + u satisfies the Gauss-Markov assumptions and let   be the OLS estimator of . Let Z = G(X) be an n × (k + 1) matrix function of × and assume that Z X [a (k + 1) × (k + 1) matrix] is nonsingular. Define a new estimator of by   = (Z X)1Z y. (i) Show that E(   X) , so that   is also unbiased conditional on X. (ii) Find Var(   X). Make sure this is a symmetric, (k + 1) × (k + 1) matrix that depends on Z, X, and 2. (iii) Which estimator do you prefer,   or   Explain be the OLS estimator of . Let Z = G(X) be an n × (k + 1) matrix function of × and assume that Z X [a (k + 1) × (k + 1) matrix] is nonsingular. Define a new estimator of by Assume that the model y = X + u satisfies the Gauss-Markov assumptions and let   be the OLS estimator of . Let Z = G(X) be an n × (k + 1) matrix function of × and assume that Z X [a (k + 1) × (k + 1) matrix] is nonsingular. Define a new estimator of by   = (Z X)1Z y. (i) Show that E(   X) , so that   is also unbiased conditional on X. (ii) Find Var(   X). Make sure this is a symmetric, (k + 1) × (k + 1) matrix that depends on Z, X, and 2. (iii) Which estimator do you prefer,   or   Explain = (Z X)1Z y.
(i) Show that E( Assume that the model y = X + u satisfies the Gauss-Markov assumptions and let   be the OLS estimator of . Let Z = G(X) be an n × (k + 1) matrix function of × and assume that Z X [a (k + 1) × (k + 1) matrix] is nonsingular. Define a new estimator of by   = (Z X)1Z y. (i) Show that E(   X) , so that   is also unbiased conditional on X. (ii) Find Var(   X). Make sure this is a symmetric, (k + 1) × (k + 1) matrix that depends on Z, X, and 2. (iii) Which estimator do you prefer,   or   Explain X) , so that Assume that the model y = X + u satisfies the Gauss-Markov assumptions and let   be the OLS estimator of . Let Z = G(X) be an n × (k + 1) matrix function of × and assume that Z X [a (k + 1) × (k + 1) matrix] is nonsingular. Define a new estimator of by   = (Z X)1Z y. (i) Show that E(   X) , so that   is also unbiased conditional on X. (ii) Find Var(   X). Make sure this is a symmetric, (k + 1) × (k + 1) matrix that depends on Z, X, and 2. (iii) Which estimator do you prefer,   or   Explain is also unbiased conditional on X.
(ii) Find Var( Assume that the model y = X + u satisfies the Gauss-Markov assumptions and let   be the OLS estimator of . Let Z = G(X) be an n × (k + 1) matrix function of × and assume that Z X [a (k + 1) × (k + 1) matrix] is nonsingular. Define a new estimator of by   = (Z X)1Z y. (i) Show that E(   X) , so that   is also unbiased conditional on X. (ii) Find Var(   X). Make sure this is a symmetric, (k + 1) × (k + 1) matrix that depends on Z, X, and 2. (iii) Which estimator do you prefer,   or   Explain X). Make sure this is a symmetric, (k + 1) × (k + 1) matrix that depends on Z, X, and 2.
(iii) Which estimator do you prefer, Assume that the model y = X + u satisfies the Gauss-Markov assumptions and let   be the OLS estimator of . Let Z = G(X) be an n × (k + 1) matrix function of × and assume that Z X [a (k + 1) × (k + 1) matrix] is nonsingular. Define a new estimator of by   = (Z X)1Z y. (i) Show that E(   X) , so that   is also unbiased conditional on X. (ii) Find Var(   X). Make sure this is a symmetric, (k + 1) × (k + 1) matrix that depends on Z, X, and 2. (iii) Which estimator do you prefer,   or   Explain or Assume that the model y = X + u satisfies the Gauss-Markov assumptions and let   be the OLS estimator of . Let Z = G(X) be an n × (k + 1) matrix function of × and assume that Z X [a (k + 1) × (k + 1) matrix] is nonsingular. Define a new estimator of by   = (Z X)1Z y. (i) Show that E(   X) , so that   is also unbiased conditional on X. (ii) Find Var(   X). Make sure this is a symmetric, (k + 1) × (k + 1) matrix that depends on Z, X, and 2. (iii) Which estimator do you prefer,   or   Explain Explain
Explanation
Verified
like image
like image

Given:
1) blured image satisfies the Gauss-Markov as...

close menu
Introductory Econometrics 4th Edition by Jeffrey Wooldridge
cross icon