57.8k views
1 vote
Which of the following factors are typically omitted from the quantitative analysis of wages but can help explain otherwise unaccounted for disparities? Check all that apply.

O Natural ability
O Attractiveness
O Effort
O Chance
O Race

User KBeezie
by
8.2k points

1 Answer

6 votes

Final answer:

Factors that are typically omitted from the quantitative analysis of wages and may explain disparities include natural ability, attractiveness, effort, chance, and race, with discrimination playing a significant role in wage gaps. Broader societal issues and labor market discrimination contribute to ongoing disparities despite policies aimed at achieving equality.

Step-by-step explanation:

Factors typically omitted from the quantitative analysis of wages that can help explain disparities in earnings include natural ability, attractiveness, effort, chance, and race. These factors, while not typically quantified in wage studies, can have significant impacts.

Natural ability may influence earning potential, attractiveness can sometimes affect hiring decisions, effort put into a job can vary greatly between individuals and is difficult to measure, chance can play a role in encountering opportunities, and race can be a significant factor due to systemic issues such as discrimination in hiring practices or in the workplace itself.

Discrimination in the labor market, estimated to be at least one-third of the Black-white wage gap, occurs when employers pay workers differently due to characteristics beyond economic qualifications such as race, gender, religion, age, or disability status.

Discrimination can manifest in complex ways, such as penalties faced by Black job-seekers or women when negotiating salary, often due to stereotypes and societal biases.

Broader societal factors like unequal education or housing segregation contribute as well, and while public policies like requiring equal pay for equal work, or achieving more equal educational outcomes, are important steps, the continuation of earnings gaps by race and gender signals the need for additional measures to address pervasive labor market discrimination.

User Marrossa
by
8.9k points