The following data for 2015 are from the Organization for Economic Co- operation and Development (OECD). $$ \begin{array}{l|c|c} \hline & \begin{array}{c} \text { Average Annual } \\ \text { Hours Worked } \end{array} & \begin{array}{c} \text { Average } \\ \text { Annual Wages } \end{array} \\ \hline \text { Germany } & 1,371 & \$ 44,925 \\ \hline \text { United States } & 1,790 & \$ 58,714 \\ \hline \end{array} $$ The average German worker worked about 400 fewer hours per year and earned nearly \(\$ 14,000\) less than did the average worker in the United States. Can we conclude anything about the well-being of the average German worker versus the wellbeing of the average worker in the United States from these data? What other measures would you like to see in evaluating the well-being of workers in these two countries?

Short Answer

Expert verified
No, we can't conclusively say anything about the well-being of German and American workers merely from the data given on hours worked and wages earned. Well-being takes into account various other factors like cost and quality of living, health benefits, job security etc. To evaluate well-being in a comprehensive manner, numerous additional measures beyond earnings and work hours need to be considered.

Step by step solution

01

Observation

Observe the data. It's seen that the average German worker worked about 400 fewer hours and earned nearly $14,000 less annual wage than the average worker in the United States.
02

Simple comparison

From simple comparison, it might seem that the American worker is better off due to more earnings. However, this doesn't consider the standard of living, cost of necessities, work-life balance and other crucial factors affecting well-being.
03

Consider other factors

Well-being is not only determined by wages and working hours. Factors such as job security, quality of life, work environment, healthcare and benefits, vacation time, etc., also play an important role.
04

Infer the necessity of additional measures

For a more accurate assessment, additional data on factors such as cost of living, distribution of income, access to healthcare, educational and leisure opportunities, employment benefits, and social security measures in both countries would be helpful.

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