Life Earnings in Selected Occupations in the United States PDF Download
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Author: Harold Florian Clark
Publisher:
ISBN:
Category : Occupations
Languages : en
Pages : 438
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Book Description
Author: Harold Florian Clark
Publisher:
ISBN:
Category : Occupations
Languages : en
Pages : 438
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Book Description
Author: United States. Bureau of Labor Statistics
Publisher:
ISBN:
Category : Wages
Languages : en
Pages : 156
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Book Description
Author: Dan L. Burkhead
Publisher:
ISBN:
Category : Income forecasting
Languages : en
Pages : 48
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Book Description
Author:
Publisher:
ISBN:
Category : Wages
Languages : en
Pages : 14
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Book Description
Author: T. Paul Schultz
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 144
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Book Description
Author: United States. Bureau of Labor Statistics
Publisher:
ISBN:
Category : Labor
Languages : en
Pages : 700
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Book Description
Publishes in-depth articles on labor subjects, current labor statistics, information about current labor contracts, and book reviews.
Author:
Publisher:
ISBN:
Category : Wage surveys
Languages : en
Pages : 156
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Book Description
Author:
Publisher:
ISBN:
Category : Wages
Languages : en
Pages : 60
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Book Description
Author:
Publisher:
ISBN:
Category : Labor
Languages : en
Pages : 1000
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Book Description
Author: Tiffany Julian
Publisher:
ISBN:
Category :
Languages : en
Pages : 4
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Book Description
Individuals make a variety of choices over the course of their careers that impact their earning potential. These choices include how far to go in school, what to study in school, and what job to take. This brief explores the relationship between how far one goes in school (educational attainment) and how much money one might make over the course of a career (work-life earnings). It goes into further detail for people whose highest degree is a bachelor's by investigating how college major (field of degree) and occupation impact these work-life earnings. The U.S. Census Bureau has developed an estimate of the amount of money a person might expect to make over the course of a career called the Synthetic Work-Life Earnings (SWE) estimate. This estimate is an illustrative example of the magnitude of differences in earnings based on factors such as education and occupation added up over a work life. This brief uses data from the American Community Survey (ACS) to demonstrate that educational attainment, college major, and occupation all affect work-life earnings. (Contains 1 figure, 1 table, and 4 footnotes.).
