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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 1

Use the data in FERTIL1.RAW for this exercise.

(i) In the equation estimated in Example 13.1, test whether living environment at age 16 has an effect on fertility. (The base group is large city.) Report the value of the F statistic and the p-value.

(ii) Test whether region of the country at age 16 (South is the base group) has an effect on fertility.

(iii) Let u be the error term in the population equation. Suppose you think that the variance of u changes over time (but not with educ, age, and so on). A model that captures this is

 Use the data in FERTIL1.RAW for this exercise. <blockquote> (i) In the equation estimated in Example 13.1, test whether living environment at age 16 has an effect on fertility. (The base group is large city.) Report the value of the F statistic and the p-value. (ii) Test whether region of the country at age 16 (South is the base group) has an effect on fertility. (iii) Let u be the error term in the population equation. Suppose you think that the variance of u changes over time (but not with educ, age, and so on). A model that captures this is   Using this model, test for heteroskedasticity in u. (Hint: Your F test should have 6 and 1,122 degrees of freedom.) (iv) Add the interaction terms y74-educ, y76-educ, y84-educ to the model estimated in Table. Explain what these terms represent. Are they jointly significant? </blockquote> Table

Using this model, test for heteroskedasticity in u. (Hint: Your F test should have 6 and 1,122 degrees of freedom.)

(iv) Add the interaction terms y74-educ, y76-educ, y84-educ to the model estimated in Table. Explain what these terms represent. Are they jointly significant?

Table

 Use the data in FERTIL1.RAW for this exercise. <blockquote> (i) In the equation estimated in Example 13.1, test whether living environment at age 16 has an effect on fertility. (The base group is large city.) Report the value of the F statistic and the p-value. (ii) Test whether region of the country at age 16 (South is the base group) has an effect on fertility. (iii) Let u be the error term in the population equation. Suppose you think that the variance of u changes over time (but not with educ, age, and so on). A model that captures this is   Using this model, test for heteroskedasticity in u. (Hint: Your F test should have 6 and 1,122 degrees of freedom.) (iv) Add the interaction terms y74-educ, y76-educ, y84-educ to the model estimated in Table. Explain what these terms represent. Are they jointly significant? </blockquote> Table

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(i)

Estimate the OLS multiple regression equation by pooling independent cross-sections across time:

    <div class=answer> (i) Estimate the OLS multiple regression equation by pooling independent cross-sections across time:   The result is:     In order to test whether the living environment at age 16 has an effect on fertility assuming the large city as the base group, it would be appropriate to test for the joint significance of the coefficients of   using the Wald test   There is no joint significance of the coefficients of     There is joint significance of the coefficients of   The result of Wald test is:

The result is:

    <div class=answer> (i) Estimate the OLS multiple regression equation by pooling independent cross-sections across time:   The result is:     In order to test whether the living environment at age 16 has an effect on fertility assuming the large city as the base group, it would be appropriate to test for the joint significance of the coefficients of   using the Wald test   There is no joint significance of the coefficients of     There is joint significance of the coefficients of   The result of Wald test is:

    <div class=answer> (i) Estimate the OLS multiple regression equation by pooling independent cross-sections across time:   The result is:     In order to test whether the living environment at age 16 has an effect on fertility assuming the large city as the base group, it would be appropriate to test for the joint significance of the coefficients of   using the Wald test   There is no joint significance of the coefficients of     There is joint significance of the coefficients of   The result of Wald test is:

In order to test whether the living environment at age 16 has an effect on fertility assuming the large city as the base group, it would be appropriate to test for the joint significance of the coefficients of     <div class=answer> (i) Estimate the OLS multiple regression equation by pooling independent cross-sections across time:   The result is:     In order to test whether the living environment at age 16 has an effect on fertility assuming the large city as the base group, it would be appropriate to test for the joint significance of the coefficients of   using the Wald test   There is no joint significance of the coefficients of     There is joint significance of the coefficients of   The result of Wald test is: using the Wald test

    <div class=answer> (i) Estimate the OLS multiple regression equation by pooling independent cross-sections across time:   The result is:     In order to test whether the living environment at age 16 has an effect on fertility assuming the large city as the base group, it would be appropriate to test for the joint significance of the coefficients of   using the Wald test   There is no joint significance of the coefficients of     There is joint significance of the coefficients of   The result of Wald test is: There is no joint significance of the coefficients of     <div class=answer> (i) Estimate the OLS multiple regression equation by pooling independent cross-sections across time:   The result is:     In order to test whether the living environment at age 16 has an effect on fertility assuming the large city as the base group, it would be appropriate to test for the joint significance of the coefficients of   using the Wald test   There is no joint significance of the coefficients of     There is joint significance of the coefficients of   The result of Wald test is:

    <div class=answer> (i) Estimate the OLS multiple regression equation by pooling independent cross-sections across time:   The result is:     In order to test whether the living environment at age 16 has an effect on fertility assuming the large city as the base group, it would be appropriate to test for the joint significance of the coefficients of   using the Wald test   There is no joint significance of the coefficients of     There is joint significance of the coefficients of   The result of Wald test is: There is joint significance of the coefficients of     <div class=answer> (i) Estimate the OLS multiple regression equation by pooling independent cross-sections across time:   The result is:     In order to test whether the living environment at age 16 has an effect on fertility assuming the large city as the base group, it would be appropriate to test for the joint significance of the coefficients of   using the Wald test   There is no joint significance of the coefficients of     There is joint significance of the coefficients of   The result of Wald test is:

The result of Wald test is:


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