Microeconomics
11th Edition
ISBN: 9781260507041
Author: Colander, David
Publisher: MCGRAW-HILL HIGHER EDUCATION
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Question
Chapter 17, Problem 23QE
(a)
To determine
Identify the potential impact on the number of women in high-level management positions.
(b)
To determine
Explain the given statement.
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Consider discrimination in employment. Suppose dark-haired employees don't like working with blonde employees. Could this discrimination explain lower wages for blond employees? If such a pay differential existed, what would an entrepreneur who wants to maximize profits do? If there were many entrepreneurs with the same strategy, what would happen over time?
Describe how the earnings gap between men and women has evolved in recent decades.
Chapter 17 Solutions
Microeconomics
Ch. 17.1 - Prob. 1QCh. 17.1 - Prob. 2QCh. 17.1 - Prob. 3QCh. 17.1 - Prob. 4QCh. 17.1 - Prob. 5QCh. 17.1 - Prob. 6QCh. 17.1 - Prob. 7QCh. 17.1 - Prob. 8QCh. 17.1 - Prob. 9QCh. 17.1 - Prob. 10Q
Ch. 17.A - Prob. 1QECh. 17.A - Prob. 2QECh. 17.A - Prob. 3QECh. 17.A - Prob. 4QECh. 17.A - Prob. 5QECh. 17.A - Prob. 6QECh. 17.A - Prob. 7QECh. 17.A - Prob. 8QECh. 17.W - Prob. 1QECh. 17.W - Prob. 2QECh. 17.W - Prob. 3QECh. 17.W - Prob. 4QECh. 17.W - Prob. 5QECh. 17.W - Prob. 6QECh. 17.W - Prob. 7QECh. 17.W - Prob. 8QECh. 17.W - Prob. 9QECh. 17.W - Prob. 10QECh. 17.W - Prob. 1QAPCh. 17.W - Prob. 2QAPCh. 17.W - Prob. 3QAPCh. 17.W - Prob. 4QAPCh. 17.W - Prob. 5QAPCh. 17.W - Prob. 1IPCh. 17.W - Prob. 2IPCh. 17.W - Prob. 3IPCh. 17.W - Prob. 4IPCh. 17.W1 - Prob. 1QCh. 17.W1 - Prob. 2QCh. 17.W1 - Prob. 3QCh. 17.W1 - Prob. 4QCh. 17.W1 - Prob. 5QCh. 17.W1 - Prob. 6QCh. 17.W1 - Prob. 7QCh. 17.W1 - Prob. 8QCh. 17.W1 - Prob. 9QCh. 17.W1 - Prob. 10QCh. 17 - Prob. 1QECh. 17 - Prob. 2QECh. 17 - Prob. 3QECh. 17 - Prob. 4QECh. 17 - Prob. 5QECh. 17 - Prob. 6QECh. 17 - Prob. 7QECh. 17 - Prob. 8QECh. 17 - Prob. 9QECh. 17 - Prob. 10QECh. 17 - Prob. 11QECh. 17 - Prob. 12QECh. 17 - Prob. 13QECh. 17 - Prob. 14QECh. 17 - Prob. 15QECh. 17 - Prob. 16QECh. 17 - Prob. 17QECh. 17 - Prob. 18QECh. 17 - Prob. 19QECh. 17 - Prob. 20QECh. 17 - Prob. 21QECh. 17 - Prob. 22QECh. 17 - Prob. 23QECh. 17 - Prob. 24QECh. 17 - Prob. 25QECh. 17 - Prob. 26QECh. 17 - Prob. 1QAPCh. 17 - Prob. 2QAPCh. 17 - Prob. 3QAPCh. 17 - Prob. 4QAPCh. 17 - Prob. 5QAPCh. 17 - Prob. 6QAPCh. 17 - Prob. 1IPCh. 17 - Prob. 2IPCh. 17 - Prob. 3IPCh. 17 - Prob. 4IPCh. 17 - Prob. 5IPCh. 17 - Prob. 6IPCh. 17 - Prob. 7IPCh. 17 - Prob. 8IPCh. 17 - Prob. 9IPCh. 17 - Prob. 10IPCh. 17 - Prob. 11IP
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Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, economics and related others by exploring similar questions and additional content below.Similar questions
- Which of the following statements is not correct? a) Competitive markets tend to limit the impact of discrimination on wages. b) Differences in earnings of whites and blacks or men and women provide clear evidence of discrimination. c) Some differences in earnings are attributable to discrimination based on race, sex, or other factors. d) Profit-maximizing behavior can reduce discriminatory wage differentials.arrow_forwardExplain the arguments against discrimination in your own words.arrow_forward"Discuss the Implications of Employer Discrimination for the Hiring Decisions of the Firm."arrow_forward
- To what extent are flexible work arrangements a positive for workers? For employers?arrow_forwardWhy do economists study sports teams when looking for evidence of labor-market discrimination? Select one: a. because all four United States professional sports leagues (football, basketball, hockey, and baseball) require discrimination studies every five years b. because the salaries paid to professional athletes exhibit the superstar phenomenon, which is highly correlated with discrimination c. because nonwhites comprise a majority of starters for many professional sports teams d. because the wide availability of performance statistics allows economists to control for individual player productivity in ways that are difficult to do for other types of firmsarrow_forwardSuppose male wages are determined by the earnings function WM = 25 + 0.40EM and female wages are determined by the earnings function WF = 15 + 0.20EF. If women have 10 years of experience and men have 20, what is the gender wage gap? How much can be attributed to human capital differences and how much is unexplained, and therefore attributed to discrimination? Show this scenario on a graph of both the male and female earnings functionsarrow_forward
- Greg is running an economic consulting company with three employees. He is considering hiring more employees. The going salary for economic consultants with the skills the company needs is $118,000 per year. Each new employee will need a computer and other equipment that cost $3,000 per year. Each client pays the company $30,000 per year. The table shows how the number of clients depends on the number of employees. What is the company's marginal revenue from the first additional employee? ($) Numer of employees 3- 10 4- 15 5- 19 6- 22 7- 24arrow_forwardWhat are ways that change can be managed to reduce the level of anxiety experienced by organizational participants? are there times when uncertainty and anxiety about change might be a good thing ?arrow_forwardAn example of a policy that combats discrimination is: Equal employment opportunity legislation Affirmative action legislation Equal pay legislation Pay equity or equal value legislation All of the abovearrow_forward
- The Studies Examining Gender Discrimination. 2. Give an overview of the studies examining gender discrimination.arrow_forwardDo you believe or think PPP(Public Private Partnership) could be a game changer in the post covid HR development?arrow_forwardSuppose there are two occupations: nurses and doctors. Draw hypothetical supply and demand graphs for male and female workers to both occupations assuming that some of each prefers each job. Now, assume that medical school admissions officers assume that women are unqualified to be doctors so all women find work as nurses. Show the effects of discrimination on your graph.arrow_forward
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