4. (36 points) Some jobs reward long hours, offer little flexibility in scheduling, or demand lots...

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4. (36 points) Some jobs reward long hours, offer little flexibility in scheduling, or demand lots of travel. Work by Harvard economist Claudia Goldin emphasizes that women may be disadvantaged in these jobs because of the traditional division of labor in the household. As a result, women may tend to avoid these occupations, and the pay gap may be larger in these jobs. We can illustrate this phenomenon by estimating separate gender gap regressions for each of a number of high-skill occupations. In this problem, estimate the same regression model as in the previous problem, but use the subset() function (see the answer key for Assignment 7 for an example) to restrict the sample to a particular occupation. The occd variable contains detailed occupation codes, which are described at https://usa.ipums.org/usa/volii/occ2018.shtml. 4.1. What would you expect to be true of the gender gap and the coefficient on log hours in occupations requiring long hours with little flexibility, compared to most other occupations? (a) The gender gap would be smaller and the coefficient on log hours would be smaller. (b) The gender gap would be smaller and the coefficient on log hours would be larger. (c) The gender gap would be larger and the coefficient on log hours would be 3 4. (36 points) Some jobs reward long hours, offer little flexibility in scheduling, or demand lots of travel. Work by Harvard economist Claudia Goldin emphasizes that women may be disadvantaged in these jobs because of the traditional division of labor in the household. As a result, women may tend to avoid these occupations, and the pay gap may be larger in these jobs. We can illustrate this phenomenon by estimating separate gender gap regressions for each of a number of high-skill occupations. In this problem, estimate the same regression model as in the previous problem, but use the subset() function (see the answer key for Assignment 7 for an example) to restrict the sample to a particular occupation. The occd variable contains detailed occupation codes, which are described at https://usa.ipums.org/usa/volii/occ2018.shtml. 4.1. What would you expect to be true of the gender gap and the coefficient on log hours in occupations requiring long hours with little flexibility, compared to most other occupations? (a) The gender gap would be smaller and the coefficient on log hours would be smaller. (b) The gender gap would be smaller and the coefficient on log hours would be larger. (c) The gender gap would be larger and the coefficient on log hours would be 3

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