Part A: Differentiate between measures of annual income. Is it better to describe a region’s ‘typical’ standard of living based on mean annual income measures? If not, what would you suggest as a better descriptive statistic? Part B: Differentiate between income and wealth. Why is income data so prevalent while wealth data so rare? Finally, explain two different methods of measuring wealth.

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The following table shows the labor market data for the U.S. working age population for 2022. The data are from the Bureau of Labor Statistics (I have made slight modifications to some of the numbers in order to get nice ratios).    Civilian  non-institutional population Civilian labor force Men 25 to 54 Years old  63,122,000 55,900,843 Women 25 to 54 Years old  64,039,000  48,934,000 Here is the issue. In the United States childcare services are very expensive: about $10,000 to $15,000 per child per year, depending on the state. This means that a low-income family with two kids and an annual income of, say $40,000, has to pay 50% to 75% of its income to childcare. Many women who cannot afford such expensive childcare services have to stay home to take care of their kids. This is one reason (but not the only one) that keeps women out of the labor force.  For the sake of this exercise let's assume that high childcare costs are the only reasons for low women's participation…

The table shows the distribution of personal income in the United States in 2016. Percentage of total income Households Poorest 20 percent 3.1 Second 20 percent Third 20 percent Fourth 20 percent Richest 20 percent 8.2 14.3 23.2 51.2 For all U.S. households to receive an equal share of income, what percentage of total income would the poorest 20 percent of households have to receive from higher-income groups? What percentage would the second poorest have to receive? >>> Answer to 1 decimal place. The poorest 20 percent of households would have to receive percent. The second poorest 20 percent of households have to receive percent.