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book Introductory Econometrics 4th Edition by Jeffrey Wooldridge cover

Introductory Econometrics 4th Edition by Jeffrey Wooldridge

النسخة 4الرقم المعياري الدولي: 978-0324660609
book Introductory Econometrics 4th Edition by Jeffrey Wooldridge cover

Introductory Econometrics 4th Edition by Jeffrey Wooldridge

النسخة 4الرقم المعياري الدولي: 978-0324660609
تمرين 5
Let Let   denote the sample average from a random sample with mean and variance 2. Consider two alternative estimators of : W 1 = [(n-1)/n]   and W 2 =   /2. (i) Show that W 1 and W 2 are both biased estimators of and find the biases. What happens to the biases as n Comment on any important differences in bias for the two estimators as the sample size gets large. (ii) Find the probability limits of W 1 and W 2. {Hint: Use Properties PLIM.1 and PLIM.2; for W 1 , note that plim [(n-1)/n] = 1.} Which estimator is consistent  (iii) Find Var(W 1 ) and Var(W 2 ). (iv) Argue that W 1 is a better estimator than   if is gcloseh to zero. (Consider both bias and variance.) denote the sample average from a random sample with mean and variance 2. Consider two alternative estimators of : W 1 = [(n-1)/n] Let   denote the sample average from a random sample with mean and variance 2. Consider two alternative estimators of : W 1 = [(n-1)/n]   and W 2 =   /2. (i) Show that W 1 and W 2 are both biased estimators of and find the biases. What happens to the biases as n Comment on any important differences in bias for the two estimators as the sample size gets large. (ii) Find the probability limits of W 1 and W 2. {Hint: Use Properties PLIM.1 and PLIM.2; for W 1 , note that plim [(n-1)/n] = 1.} Which estimator is consistent  (iii) Find Var(W 1 ) and Var(W 2 ). (iv) Argue that W 1 is a better estimator than   if is gcloseh to zero. (Consider both bias and variance.) and W 2 = Let   denote the sample average from a random sample with mean and variance 2. Consider two alternative estimators of : W 1 = [(n-1)/n]   and W 2 =   /2. (i) Show that W 1 and W 2 are both biased estimators of and find the biases. What happens to the biases as n Comment on any important differences in bias for the two estimators as the sample size gets large. (ii) Find the probability limits of W 1 and W 2. {Hint: Use Properties PLIM.1 and PLIM.2; for W 1 , note that plim [(n-1)/n] = 1.} Which estimator is consistent  (iii) Find Var(W 1 ) and Var(W 2 ). (iv) Argue that W 1 is a better estimator than   if is gcloseh to zero. (Consider both bias and variance.) /2.
(i) Show that W 1 and W 2 are both biased estimators of and find the biases. What happens to the biases as n Comment on any important differences in bias for the two estimators as the sample size gets large.
(ii) Find the probability limits of W 1 and W 2. {Hint: Use Properties PLIM.1 and PLIM.2; for W 1 , note that plim [(n-1)/n] = 1.} Which estimator is consistent
(iii) Find Var(W 1 ) and Var(W 2 ).
(iv) Argue that W 1 is a better estimator than Let   denote the sample average from a random sample with mean and variance 2. Consider two alternative estimators of : W 1 = [(n-1)/n]   and W 2 =   /2. (i) Show that W 1 and W 2 are both biased estimators of and find the biases. What happens to the biases as n Comment on any important differences in bias for the two estimators as the sample size gets large. (ii) Find the probability limits of W 1 and W 2. {Hint: Use Properties PLIM.1 and PLIM.2; for W 1 , note that plim [(n-1)/n] = 1.} Which estimator is consistent  (iii) Find Var(W 1 ) and Var(W 2 ). (iv) Argue that W 1 is a better estimator than   if is gcloseh to zero. (Consider both bias and variance.) if is gcloseh to zero. (Consider both bias and variance.)
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Introductory Econometrics 4th Edition by Jeffrey Wooldridge
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