Micro Paper A: Multiple Regression Consulting. Micro Paper A: Multiple Regression Consulting. so all of the instructions are clearly in material 1. to open the data file, which you need to have Eviews and run the data.
the thing you need to write about is
1. You are advising a friend who is considering quitting her job and taking a year off to further her education, and then returning to the same employer. This means that in the future, she will have one more year of education, but one less year of experience and tenure on the job than otherwise. In terms of future earnings, do you recommend this? Is the answer statistically clear or is it subject to significant doubt? To answer these questions, you will need to (at least) do the following:
a. Build a model that can be used to predict earnings given education, experience and tenure. Discuss how you set up your model, what variables you chose to include, why you chose to include them, and so on.
b. Determine the difference in hourly wage brought about by this decision.
c. Test one or more hypotheses. It is up to you to figure out what hypothesis/hypotheses you should test, but you should set up the hypothesis/hypotheses such that they directly address the question you seek to answer.
d. Make a recommendation. Hint: is considering the change in hourly wage enough, or are there other factors that you should consider?
2. The same question, only now your friend will not return to the same employer. This means that her tenure on the job will reset to zero. Assuming your friend has tenure on the job typical of people in your sample, what is your recommendation?
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