
Introductory Econometrics: A Modern Approach 6th Edition by Jeffrey M Wooldridge
Edition 6ISBN: 130527010X
Introductory Econometrics: A Modern Approach 6th Edition by Jeffrey M Wooldridge
Edition 6ISBN: 130527010XThis is a more general version of Problem
Problem Let Y1, Y2, Y3, and Y4 be independent, identically distributed random variables from a population with mean ? and variance ?2. Let
=
(Y1+Y2 + Y3 + Y4) denote the average of these four random variables.
(i) What are the expected value and variance of
in terms of ? and ?2?
(ii) Now, consider a different estimator of ?:
W =
Y1+
Y2 +
Y3 +
Y4.
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, YP or W?
Step 1 of 3
The following variables are random and independent variables with mean µ and variance s2.

(i) The mean or expected value of W can be calculated as follows:

The expected mean of W is equal
. However if
, then 
Step 2 of 3
Step 3 of 3
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Other
in terms of ? and ?
Y
Y
Y
Y
