ECON 138 Quiz Question Bank w_o answers

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Feb 20, 2024

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Economics of Discrimination Question Bank, broken up by paper & topic [multiple answers can be correct and not all of them will make sense – GOOD LUCK] OAXACA DECOMPOSITION Suppose that, on average, men earn $17 an hour and have an average of 15 years of schooling. Women earn $15 an hour and have an average of 14 years of schooling. If the estimated return to schooling for men is 0.30 (implying that each additional year of schooling translates into an additional 30 cents per hour) and the returns for schooling for women is 0.2, then the gender gap in schooling explains: 15% of the wage gap between men and women. 10% of the wage gap between men and women. 60% of the wage gap between men and women. 15% or 10% of the wage gap depending on the returns to schooling number used. 20% or 30% of the wage gap depending on the returns to schooling number used For questions 5-10, consider a labor market for men and women with two types of workers in each group, high ability (H types), and low ability (L types). H types among men and women have a productivity of 70 and L types among men and women have a productivity of 30. Among women 2/3rds are H types, and 1/3rd are L types, and among men ½ are H types, and ½ L types. An employer is aware of all the above information, but is unable to observe types when he meets a man or a woman. What is the gender wage gap? Women on average make 2/3rds more than men. Men on average make 30 cents more than women. Men and women make the same on average, so no wage gap. Women on average make around 12% more than men. Consider a labor market for men and women with two types of workers in each group, high ability (H types), and low ability (L types). H types among men and women have a productivity of 70 and L types among men and women have a productivity of 30. Among women 2/3rds are H types, and 1/3rd are L types, and among men ½ are H types, and ½ L types. Suppose affirmative action for women reduces the cost of college for all women to 10. What happens to the average wage gaps between men and women? Recall that employers know the shares of H and L types, but cannot observe individual types. Women on average make around 12% more than men. Women on average will make 40% more than men. Men will make 40% more than women. Women on average make 2/3rds more than men. In a Oaxaca decomposition, the “unexplained” portion of the wage gap is typically thought to Overstate the true extent of discrimination if there are no unobservable skill differences between the groups. Overstate the true extent of discrimination if discrimination leads to observable skill differences between the groups. Which of the following are true statements about the Oaxaca decomposition: Statement C: the unexplained part of the decomposition gives a perfectly accurate quantification of discrimination Statement A: the ”unexplained” portion of the decomposition typically consists of differences in slopes across groups (multiplied by a group mean in independent variable) Statement B: “explained” portion of the decomposition typically consists of differences in X’s or observed variables across groups (multiplied by some slope parameter) None of the statements are true Statements A and B are both true
Suppose there is a sudden decrease in women's labor force participation. How would you expect this to affect the gender wage gap? Assume we start from a baseline with w_f / w_m < 1. The gender wage gap should get larger. The gender wage gap should not change. The gender wage gap should get smaller. This question is based off of Thursday's breakout room. Suppose Senator Fraenkel thinks a tax on male hiring will help narrow the gender wage gap. She will charge employers a tax t on every man that they hire. There is no such tax on female employment. What is the inequality condition for firms that only hire women in the presence of this tax? w_f (1+d_f) < w_m + t w_f (1+d_f) > w_m w_f (1+d_f) > w_m + t w_f (1+d_f) > t We discussed the graph on page 3 of the W1Quiz_pictures.pdf, available in the intro to this quiz, in breakout rooms. What fraction of the wage gap between Group A and Group B is unexplained by differences in schooling? 10% 80% 20% 50% Suppose that, on average, men earn $20 an hour and have an average of 15 years of schooling. Women earn $15 an hour and have an average of 14 years of schooling. If the estimated return to schooling for men is 0.30 (implying that each additional year of schooling translates into an additional 30 cents per hour), then the gender gap in schooling explains: 20% of the wage gap between men and women More than 100% of the wage gap between men and women 15% of the wage gap between men and women None of the wage gap between men and women 6% of the wage gap between men and women
Consider Figures 1 and 2. Which of the following are accurate conclusions? The gender wage gap is lower when we include control variables. The gender wage gap increases as a woman ages through her 20s and early 30s, but lowers later in life. Women are discriminated against in the labor market. The gender wage gap has gotten smaller over time, with women born in 1978 facing a much lower gap than women born in 1943 at age 30. True or false: The gender wage gap for women is at its highest when women are nearing retirement (ages 55-65). True False
True or false: When calculating wage gaps, we include control variables so that we can "explain" as much of the gap as possible with observable characteristics, such as education and work histories. The "unexplained" portion includes unobservable characteristics. True False True or false: One firm conclusion from this course is that wage gaps are entirely driven by differences in preferences across groups, rather than by differences in constraints or by discrimination. True False Refer to Figure 1. What percent of the wage gap between Group A and Group B is unexplained by differences in schooling, using Group A’s slope as a baseline? Please enter the number only here (don't include %): 80 Refer to Figure 1. What dollar amount of the wage gap between Group A and Group B is unexplained by differences in schooling, using Group A’s slope as a baseline? Please enter the number only here (don't include $): 400
What is/are the parameter(s) in the regression function below that capture(s) the unexplained portion of the black-white wage gap. Wage = beta1*state + beta2*education + beta3*part-time + beta4*industry/occupation + beta5*age + beta6*black Alpha beta1 beta2 beta3 beta4 beta5 beta6 Under which circumstance(s) will the unexplained part of the wage gap understate the extent of discrimination? If differences in observable characteristics are themselves be the result of discrimination If differences in observable characteristics are themselves be the result of discrimination. If we have measurement errors in wage. If we only have data for wAomen who have a college degree. Consider the following table from Neal & Johnson (1995). Which of the following statements are true:
Black men have 19.6% lower wages when controlling for years of schooling. Hispanic women have lower wages when controlling for test scores. This estimate is statistically significant. Controlling for test scores makes the coefficient for Black men smaller (in absolute terms). Being a black woman decreases wages by -$1.55, controlling for years of schooling. Age is statistically insignificant across all specifications. Refer to the following graph. 80% of the wage gap between groups A and B is unexplained by differences in schooling. 13.2% of the wage gap between groups A and B is unexplained by differences in schooling. $100 of the total wage gap between groups A and B is explained by differences in schooling. $66 of the total wage gap between groups A and B is unexplained by differences in schooling. TASTE-BASED DISCRIMINATION THEORY This question is based on Thursday's breakout room. Suppose employers care about overall productivity Z, which is made up of two components, X and Y, such that Z=X+Y (and employers know this productivity function). Suppose there are two groups (male and female) whose average Zs are the same (i.e. Z_M =Z_F), but X_M < X_F and Y_M > Y_F (and again, employers know these population averages). (Averages are given by bold font.) Researchers decide to run a resume-based audit study where they randomize names based on gender (using typically male or female names) but hold constant Y. They provide no information on X. Which of the following would suggest taste-based discrimination? The call-back rate is the same for both sexes. The call-back rate is higher for men than for women We can't use differences in call-back rates to find suggestive evidence of taste-based discrimination because there's too many other factors that are different across the resumes. The call-back rate is higher for women than for men Audit studies, broadly speaking, attempt to understand the degree to which employers engage in preference-based discrimination: True False
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