
Introductory Econometrics 4th Edition by Jeffrey Wooldridge
النسخة 4الرقم المعياري الدولي: 978-0324660609
Introductory Econometrics 4th Edition by Jeffrey Wooldridge
النسخة 4الرقم المعياري الدولي: 978-0324660609 تمرين 5
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.)
![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.)](https://d2lvgg3v3hfg70.cloudfront.net/SM2712/11eb9ee2_f044_f2e8_8edd_ff3473c726c3_SM2712_11.jpg)
![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.)](https://d2lvgg3v3hfg70.cloudfront.net/SM2712/11eb9ee2_f045_19f9_8edd_b370eb3d778c_SM2712_11.jpg)
![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.)](https://d2lvgg3v3hfg70.cloudfront.net/SM2712/11eb9ee2_f045_19fa_8edd_511ab5bf4013_SM2712_11.jpg)
(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.)](https://d2lvgg3v3hfg70.cloudfront.net/SM2712/11eb9ee2_f045_19fb_8edd_a38c0105ede9_SM2712_11.jpg)
التوضيح
Has a random sample mean µ and variance...
Introductory Econometrics 4th Edition by Jeffrey Wooldridge
لماذا لم يعجبك هذا التمرين؟
أخرى 8 أحرف كحد أدنى و 255 حرفاً كحد أقصى
حرف 255