TeamAssigment3_Summary

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Apr 25, 2024

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Team 3 Paw Patrol BA501: Microeconomics 1/5 Team Assignment No. 2 Question 1: Please refer to excel for additional details: Figure 1a. Median and Mean Total Income of female and males in 2022 by age groups of 5Y Figure 1b. Graph showing median income of males and females over age groups of 5Y
Team 3 Paw Patrol BA501: Microeconomics 2/5 Question 2: The graph above shows that there is a gradual increase in pay gap between females and males within 5Y groups increasing with age. There may be multiple potential reasons for this disparity. The ones that came up most commonly in the discussion within the team were: 1. Negative impact of career interruptions and breaks for caregiving responsibilities (birth of a child): These interruptions can lead to a slower career progression, fewer opportunities for promotions, and ultimately lower earnings compared to men who may not experience similar breaks in their careers. 2. Lack of overtime, flexibility or out-of-scope work: Women, especially those with caregiving responsibilities, may opt for reduced hours (less or no extra time, no weekend work, no travel involved) or flexible work arrangements to balance work and family commitments. This choice can result in lower earnings compared to men who may work longer hours or have less interrupted career trajectories, leading to a widening salary gap as individuals progress in their careers. 3. Nonlinear Pay Structures: Based on the assigned reading “A Grand Gender Convergence: Its Last Chapter”, some occupations have highly nonlinear (convex) pay structures regarding hours worked, while others have almost linear pay structures. This means that in certain roles, working additional hours may result in disproportionately higher earnings, while in other roles, the relationship between hours worked and earnings is more linear. If women are more likely to be in occupations with nonlinear pay structures, their decision to work reduced hours or have more flexible schedules could lead to a larger salary gap with age compared to men in occupations with linear pay structures. 4. Implicit Bias and Discrimination: Despite advancements in gender equality, implicit biases and discrimination in the workplace can still influence salary decisions and career outcomes. Women may face challenges in salary negotiations, performance evaluations, and access to leadership roles due to gender stereotypes and biases. These factors can perpetuate the salary gap between men and women, even as individuals reach +45 years of age. Furthermore, over the course of their careers, women may have experienced lower pay, fewer promotions, and limited access to high-paying positions compared to men. These cumulative effects of past gender disparities in earnings and opportunities can contribute to the salary gap persisting into later stages of individuals' careers. Question 3: Part A: Figure 2a. Table 15011 - 2011 ACS and % of Population - Females
Team 3 Paw Patrol BA501: Microeconomics 3/5 Figure 2b. Table 15011 - 2011 ACS and % of Population Males Part B: (i) To calculate this, we first calculated the Average Median Income Estimate across age groups and supergroups. The Age groups provided in Figure 1.3 of “The economic value of college majors” were 25-34 and 35-44. We calculated the Average median for the age group 25-39 for each supergroup. Then to align categories with the ACS data in Part A, we combined super groups and averaged them out. Using the representative % of population for women from Part A, we calculated a weighted average of the entire population of women. Please refer to excel for calculations. Figure 3a. Median Income for Women of 25-39Y with a bachelor’s degree. (ii) To calculate this, we first calculated the Average Median Income Estimate across age groups and supergroups. The Age groups provided in Figure 1.3 of “The economic value of college majors” were 25 -34 and 35-44. We calculated the Average median for the age group 25-39 for each supergroup. Then to align categories with the ACS data in Part A, we combined super groups and averaged them out. Using the representative % of population for men from Part A, we calculated a weighted average of the entire population of men. Please refer to excel for calculations. Figure 3b. Median Income for men of 25- 39Y with a bachelor’s degree. (iii) If women majored in the same subjects as men, the average income of women would be higher i.e same as men, $59,144.49. (iv) If men majored in the same subjects as women, the average income of men would be lower i.e same as women, $56,560.00.
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