5. Tracking jobs and hours with the establishment survey The following table contains some employment information from the establishment surveys for November 2017 and December 2017. The numbers in the table are listed in thousands. For example, the number of employed in the table for November 2017 indicates that about 147.4 million people were employed at that time. Industry Total nonfarm payroll employment Manufacturing Construction Trade, transportation, and utilities Employment (Thousands of workers) November 2017 December 2017 147,450 12,519 7,030 27,602 147,610 12,540 7,063 27,599 Average Weekly Hours November 2017 December 2017 34.5 40.9 39.1 34.7 34.5 40.8 39.4 34.5

5. Tracking jobs and hours with the establishment survey The following table contains some employment information from the establishment surveys for November 2017 and December 2017. The numbers in the table are listed in thousands. For example, the number of employed in the table for November 2017 indicates that about 147.4 million people were employed at that time. Industry Total nonfarm payroll employment Manufacturing Construction Trade, transportation, and utilities Employment (Thousands of workers) November 2017 December 2017 147,450 12,519 7,030 27,602 147,610 12,540 7,063 27,599 Average Weekly Hours November 2017 December 2017 34.5 40.9 39.1 34.7 34.5 40.8 39.4 34.5

ENGR.ECONOMIC ANALYSIS

14th Edition

ISBN:9780190931919

Author:NEWNAN

Publisher:NEWNAN

Chapter1: Making Economics Decisions

Section: Chapter Questions

Problem 1QTC

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Calculate how these famous athletes from different time periods rank in salary by converting each to today's $ (our CPI in 2023 is 304). Year CPI income 1980 82.4 Sugar Ray Leonard $18,000,000 (boxing) 1931 15.2 2015 Athlete's nominal 237.0 Babe Ruth $80,000 (baseball) Lionel Messi $73,800,000 (beautiful game) Each athlete's real income (in 2023 $) Rank of earnings in today's $
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