Introductory Econometrics: A Modern Approach 6th Edition by Jeffrey M Wooldridge

Exercise 22

In Problem, we added the return on the firm’s stock, ros, to a model explaining CEO salary; ros turned out to be insignificant. Now, define a dummy variable, rosneg, which is equal to one if ros<0 and equal to zero if ros ? 0. Use CEOSAL1.RAW to estimate the model

Discuss the interpretation and statistical significance of

Problem Consider an equation to explain salaries of CEOs in terms of annual firm sales, return on equity (roe, in percentage form), and return on the firm’s stock (ros, in percentage form):

(i) In terms of the model parameters, state the null hypothesis that, after controlling for sales and roe, ros has no effect on CEO salary. State the alternative that better stock market performance increases a CEO’s salary.

(ii) Using the data in CEOSAL1.RAW, the following equation was obtained by OLS:

By what percentage is salary predicted to increase if ros increases by 50 points? Does ros have a practically large effect on salary?

(iii) Test the null hypothesis that ros has no effect on salary against the alternative that ros has a positive effect. Carry out the test at the 10% significance level.

(iv) Would you include ros in a final model explaining CEO compensation in terms of firm performance? Explain.

Step 1 of 4

Estimating the model, the result will be as follows:

Compute the linear multiple regression using the excel and using the CEOSAL1.RAW where log(salary) is the dependent variable and log(sales) and roe and rosneg are the independent variables.