Question: Table 1. Average Hourly Earnings, Nominal $'s Mean SE(Mean) 95% Confidence Interval AHE 1996 12.69326 0.0813991 (12.53369, 12.85283) AHE 2015 21.23744 0.1439117 (20.95533, 21.51955) Difference
Table 1. Average Hourly Earnings, Nominal $'s
Mean | SE(Mean) | 95% Confidence Interval | |
AHE1996 | 12.69326 | 0.0813991 | (12.53369, 12.85283) |
AHE2015 | 21.23744 | 0.1439117 | (20.95533, 21.51955) |
Difference | SE(Difference) | 95% Confidence Interval | |
AHE2015 - AHE1996 | 8.544178 | 0.1653372 | (8.220087, 8.868268) |
2.g. In 2015, the value of the Consumer Price Index (CPI) was 237.0. In 1996, the value of the CPI was 156.9. Repeat (2.b-2.e) but use AHE measured in real 2015 dollars ($2015); that is, adjust the 1996 data for the price inflation that occurred between 1996 and 2015. (M1.5, M1.6)
2.h. Using your calculations from 2.g, complete the following table:
Table 2. Average Hourly Earnings, Real $2015
Mean | SE(Mean) | 95% Confidence Interval | |
AHE1996 | |||
AHE2015 | |||
Difference | SE(Difference) | 95% Confidence Interval | |
AHE2015 - AHE1996 |
|
2.g If you were interested in the change in workers' purchasing power from 1996 to 2015, would you use the results from (Table 1) or (Table 2)? Explain. (M1.6)
2.j. Using appropriate estimates, confidence intervals, and test statistics, answer the following question: Did real (inflation-adjusted) wages increase from 1996 to 2015? (M1.6)
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