a. Run a regression of average hourly earnings (AHE) on age (Age), sex (Female), and education (Bachelor). If Age increa

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a. Run a regression of average hourly earnings (AHE) on age
(Age), sex (Female), and education (Bachelor). If Age increases
from 25 to 26, how are earnings expected to change? If Age
increases from 33 to 34, how are earnings expected to change?

b. Run a regression of the logarithm of average hourly earnings, ln
(AHE), on Age, Female, and Bachelor. If Age increases from 25 to
26, how are earnings expected to change? If Age increases from 33
to 34, how are earnings expected to change?

c. Run a regression of the logarithm of average hourly earnings, ln
(AHE), on ln(Age), Female, and Bachelor. If Age increases from 25
to 26, how are earnings expected to change? If Age increases from
33 to 34, how are earnings expected to change?

CPS2015 Datafile can be downloaded
here: https://media.pearsoncmg.com/ph/bp/bp_s ... ata08.html