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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 3
Let Y 1 , Y 2 , Y 3 , and Y 4 be independent, identically distributed random variables from a population with mean and variance 2. Let Let Y 1 , Y 2 , Y 3 , and Y 4 be independent, identically distributed random variables from a population with mean and variance 2. Let   =   (Y 1 +Y 2 + Y 3 + Y 4 ) denote the average of these four random variables. (i) What are the expected value and variance of   P in terms of and 2  (ii) Now, consider a different estimator of : W =   Y 1 +   Y 2 +   Y 3 +   Y 4. This is an example of a weighted average of the Yi. Show that W is also an unbiased estimator of . Find the variance of W. (iii) Based on your answers to parts (i) and (ii), which estimator of do you prefer,   or W = Let Y 1 , Y 2 , Y 3 , and Y 4 be independent, identically distributed random variables from a population with mean and variance 2. Let   =   (Y 1 +Y 2 + Y 3 + Y 4 ) denote the average of these four random variables. (i) What are the expected value and variance of   P in terms of and 2  (ii) Now, consider a different estimator of : W =   Y 1 +   Y 2 +   Y 3 +   Y 4. This is an example of a weighted average of the Yi. Show that W is also an unbiased estimator of . Find the variance of W. (iii) Based on your answers to parts (i) and (ii), which estimator of do you prefer,   or W (Y 1 +Y 2 + Y 3 + Y 4 ) denote the average of these four random variables.
(i) What are the expected value and variance of Let Y 1 , Y 2 , Y 3 , and Y 4 be independent, identically distributed random variables from a population with mean and variance 2. Let   =   (Y 1 +Y 2 + Y 3 + Y 4 ) denote the average of these four random variables. (i) What are the expected value and variance of   P in terms of and 2  (ii) Now, consider a different estimator of : W =   Y 1 +   Y 2 +   Y 3 +   Y 4. This is an example of a weighted average of the Yi. Show that W is also an unbiased estimator of . Find the variance of W. (iii) Based on your answers to parts (i) and (ii), which estimator of do you prefer,   or W P in terms of and 2
(ii) Now, consider a different estimator of :
W = Let Y 1 , Y 2 , Y 3 , and Y 4 be independent, identically distributed random variables from a population with mean and variance 2. Let   =   (Y 1 +Y 2 + Y 3 + Y 4 ) denote the average of these four random variables. (i) What are the expected value and variance of   P in terms of and 2  (ii) Now, consider a different estimator of : W =   Y 1 +   Y 2 +   Y 3 +   Y 4. This is an example of a weighted average of the Yi. Show that W is also an unbiased estimator of . Find the variance of W. (iii) Based on your answers to parts (i) and (ii), which estimator of do you prefer,   or W Y 1 + Let Y 1 , Y 2 , Y 3 , and Y 4 be independent, identically distributed random variables from a population with mean and variance 2. Let   =   (Y 1 +Y 2 + Y 3 + Y 4 ) denote the average of these four random variables. (i) What are the expected value and variance of   P in terms of and 2  (ii) Now, consider a different estimator of : W =   Y 1 +   Y 2 +   Y 3 +   Y 4. This is an example of a weighted average of the Yi. Show that W is also an unbiased estimator of . Find the variance of W. (iii) Based on your answers to parts (i) and (ii), which estimator of do you prefer,   or W Y 2 + Let Y 1 , Y 2 , Y 3 , and Y 4 be independent, identically distributed random variables from a population with mean and variance 2. Let   =   (Y 1 +Y 2 + Y 3 + Y 4 ) denote the average of these four random variables. (i) What are the expected value and variance of   P in terms of and 2  (ii) Now, consider a different estimator of : W =   Y 1 +   Y 2 +   Y 3 +   Y 4. This is an example of a weighted average of the Yi. Show that W is also an unbiased estimator of . Find the variance of W. (iii) Based on your answers to parts (i) and (ii), which estimator of do you prefer,   or W Y 3 + Let Y 1 , Y 2 , Y 3 , and Y 4 be independent, identically distributed random variables from a population with mean and variance 2. Let   =   (Y 1 +Y 2 + Y 3 + Y 4 ) denote the average of these four random variables. (i) What are the expected value and variance of   P in terms of and 2  (ii) Now, consider a different estimator of : W =   Y 1 +   Y 2 +   Y 3 +   Y 4. This is an example of a weighted average of the Yi. Show that W is also an unbiased estimator of . Find the variance of W. (iii) Based on your answers to parts (i) and (ii), which estimator of do you prefer,   or W Y 4.
This is an example of a weighted average of the Yi. Show that W is also an unbiased estimator of . Find the variance of W.
(iii) Based on your answers to parts (i) and (ii), which estimator of do you prefer, Let Y 1 , Y 2 , Y 3 , and Y 4 be independent, identically distributed random variables from a population with mean and variance 2. Let   =   (Y 1 +Y 2 + Y 3 + Y 4 ) denote the average of these four random variables. (i) What are the expected value and variance of   P in terms of and 2  (ii) Now, consider a different estimator of : W =   Y 1 +   Y 2 +   Y 3 +   Y 4. This is an example of a weighted average of the Yi. Show that W is also an unbiased estimator of . Find the variance of W. (iii) Based on your answers to parts (i) and (ii), which estimator of do you prefer,   or W or W
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Introductory Econometrics 4th Edition by Jeffrey Wooldridge
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