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book Introductory Econometrics: A Modern Approach 6th Edition by Jeffrey M Wooldridge cover

Introductory Econometrics: A Modern Approach 6th Edition by Jeffrey M Wooldridge

Edition 6ISBN: 130527010X
book Introductory Econometrics: A Modern Approach 6th Edition by Jeffrey M Wooldridge cover

Introductory Econometrics: A Modern Approach 6th Edition by Jeffrey M Wooldridge

Edition 6ISBN: 130527010X
Exercise 14

Consider a model at the employee level,

 Consider a model at the employee level,   where the unobserved variable f<span class=sub>i</span> is a firm effect to each employee at a given firm i. The error term v<span class=sub>i,e</span> is specific to employee e at firm i. The composite error is u<span class=sub>i,e</span> = f<span class=sub>1</span> + v<span class=sub>i,e</span> , such as in equation. <blockquote> (i) Assume that Var(f<span class=sub>1</span>) = ?<span class=sup>2</span><span class=sub>f</span> , Var(v<span class=sub>ie</span>) = ?<span class=sup>2</span><span class=sub>v</span> , and f<span class=sub>i</span> and v<span class=sub>i,e</span> are uncorrelated. Show that Var(u<span class=sub>i,e</span>) = ?<span class=sup>2</span><span class=sub>f</span> + ?<span class=sup>2</span><span class=sub>v</span> ; call this ?<span class=sup>2</span>. (ii) Now suppose that for e ? g, v<span class=sub>i,e</span> and v<span class=sub>i,g</span> are uncorrelated. Show that Cov(u<span class=sub>ie</span>,u<span class=sub>ig</span>) = ?<span class=sup>2</span><span class=sub>f</span>. (iii) Let   be the average of the composite errors within a firm. Show   (iv) Discuss the relevance of part (iii) for WLS estimation using data averaged at the firm level, where the weight used for observation i is the usual firm size. </blockquote>

where the unobserved variable fi is a "firm effect" to each employee at a given firm i. The error term vi,e is specific to employee e at firm i. The composite error is ui,e = f1 + vi,e , such as in equation.

(i) Assume that Var(f1) = ?2f , Var(vie) = ?2v , and fi and vi,e are uncorrelated. Show that Var(ui,e) = ?2f + ?2v ; call this ?2.

(ii) Now suppose that for e ? g, vi,e and vi,g are uncorrelated. Show that Cov(uie,uig) = ?2f.

(iii) Let  Consider a model at the employee level,   where the unobserved variable f<span class=sub>i</span> is a firm effect to each employee at a given firm i. The error term v<span class=sub>i,e</span> is specific to employee e at firm i. The composite error is u<span class=sub>i,e</span> = f<span class=sub>1</span> + v<span class=sub>i,e</span> , such as in equation. <blockquote> (i) Assume that Var(f<span class=sub>1</span>) = ?<span class=sup>2</span><span class=sub>f</span> , Var(v<span class=sub>ie</span>) = ?<span class=sup>2</span><span class=sub>v</span> , and f<span class=sub>i</span> and v<span class=sub>i,e</span> are uncorrelated. Show that Var(u<span class=sub>i,e</span>) = ?<span class=sup>2</span><span class=sub>f</span> + ?<span class=sup>2</span><span class=sub>v</span> ; call this ?<span class=sup>2</span>. (ii) Now suppose that for e ? g, v<span class=sub>i,e</span> and v<span class=sub>i,g</span> are uncorrelated. Show that Cov(u<span class=sub>ie</span>,u<span class=sub>ig</span>) = ?<span class=sup>2</span><span class=sub>f</span>. (iii) Let   be the average of the composite errors within a firm. Show   (iv) Discuss the relevance of part (iii) for WLS estimation using data averaged at the firm level, where the weight used for observation i is the usual firm size. </blockquote>   be the average of the composite errors within a firm. Show  Consider a model at the employee level,   where the unobserved variable f<span class=sub>i</span> is a firm effect to each employee at a given firm i. The error term v<span class=sub>i,e</span> is specific to employee e at firm i. The composite error is u<span class=sub>i,e</span> = f<span class=sub>1</span> + v<span class=sub>i,e</span> , such as in equation. <blockquote> (i) Assume that Var(f<span class=sub>1</span>) = ?<span class=sup>2</span><span class=sub>f</span> , Var(v<span class=sub>ie</span>) = ?<span class=sup>2</span><span class=sub>v</span> , and f<span class=sub>i</span> and v<span class=sub>i,e</span> are uncorrelated. Show that Var(u<span class=sub>i,e</span>) = ?<span class=sup>2</span><span class=sub>f</span> + ?<span class=sup>2</span><span class=sub>v</span> ; call this ?<span class=sup>2</span>. (ii) Now suppose that for e ? g, v<span class=sub>i,e</span> and v<span class=sub>i,g</span> are uncorrelated. Show that Cov(u<span class=sub>ie</span>,u<span class=sub>ig</span>) = ?<span class=sup>2</span><span class=sub>f</span>. (iii) Let   be the average of the composite errors within a firm. Show   (iv) Discuss the relevance of part (iii) for WLS estimation using data averaged at the firm level, where the weight used for observation i is the usual firm size. </blockquote>

(iv) Discuss the relevance of part (iii) for WLS estimation using data averaged at the firm level, where the weight used for observation i is the usual firm size.

 Consider a model at the employee level,   where the unobserved variable f<span class=sub>i</span> is a firm effect to each employee at a given firm i. The error term v<span class=sub>i,e</span> is specific to employee e at firm i. The composite error is u<span class=sub>i,e</span> = f<span class=sub>1</span> + v<span class=sub>i,e</span> , such as in equation. <blockquote> (i) Assume that Var(f<span class=sub>1</span>) = ?<span class=sup>2</span><span class=sub>f</span> , Var(v<span class=sub>ie</span>) = ?<span class=sup>2</span><span class=sub>v</span> , and f<span class=sub>i</span> and v<span class=sub>i,e</span> are uncorrelated. Show that Var(u<span class=sub>i,e</span>) = ?<span class=sup>2</span><span class=sub>f</span> + ?<span class=sup>2</span><span class=sub>v</span> ; call this ?<span class=sup>2</span>. (ii) Now suppose that for e ? g, v<span class=sub>i,e</span> and v<span class=sub>i,g</span> are uncorrelated. Show that Cov(u<span class=sub>ie</span>,u<span class=sub>ig</span>) = ?<span class=sup>2</span><span class=sub>f</span>. (iii) Let   be the average of the composite errors within a firm. Show   (iv) Discuss the relevance of part (iii) for WLS estimation using data averaged at the firm level, where the weight used for observation i is the usual firm size. </blockquote>

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We are given a regression model which is for the employee level. Here f is unobserved while v is error term specific to employee e.

The model given to us is

    <div class=answer> We are given a regression model which is for the employee level. Here <i>f </i>is unobserved while <i>v </i>is error term specific to employee <i>e.</i> The model given to us is


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Introductory Econometrics: A Modern Approach 6th Edition by Jeffrey M Wooldridge
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