Errata for Regression Models for Categorical Dependent Variables Using Stata, Third Edition
The errata for Regression Models for Categorical Dependent Variables Using Stata, Third Edition, are provided below. Click here for an explanation of how to read an erratum. Click here to learn how to determine the printing number of a book.
| (1) | Chapter 1, p. 17, last sentence of section 1.6.1 |
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| If you are using Stata 12, install the spost13_do13 package instead. | If you are using Stata 12, install the spost13_do12 package instead. |
| (1) | Chapter 5, p. 198, sentence after the tabulate output |
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| We find that lfp is 0 every time k5_3 is 0. | We find that lfp is 0 every time k5_3 is 1. |
| (1,2) | Chapter 5, p. 200, last sentence of section 5.2.3 |
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| For example, in the output above, ..., so our data do not even permit us to reject the null hypothesis that women with three children are less likely to be in the labor force than are women with no children. | For example, in the output above, ..., so our data do not even permit us to reject the null hypothesis that women with three children and women with no children are equally likely to be in the labor force. |
| (1,2) | Chapter 6, p. 248, sentence after the mchange output |
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| The average predictions, ... in the labor force is 0.432. | The average predictions, ... in the labor force is 0.568. |
| (1) | Chapter 9, p. 553–558, countfit command and output thereafter |
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| . countfit art i.female i.married kid5 phd mentor, inflate(i.mentor i.female) | . countfit art i.female i.married kid5 phd mentor, inflate(mentor i.female) |
