Page 257 -
P. 257

256	 Chapter 6  Linear Regression with Multiple Regressors

	 c.	 Juanita is a 28-year-old female college graduate from the South. Jennifer
                                       is a 28-year-old female college graduate from the Midwest. Calculate
                                       the expected difference in earnings between Juanita and Jennifer.

	 6.5	 Data were collected from a random sample of 200 home sales from a com-
                                  munity in 2013. Let Price denote the selling price (in $1000), BDR denote
                                  the number of bedrooms, Bath denote the number of bathrooms, Hsize
                                  denote the size of the house (in square feet), Lsize denote the lot size (in
                                  square feet), Age denote the age of the house (in years), and Poor denote
                                  a binary variable that is equal to 1 if the condition of the house is reported
                                  as “poor.” An estimated regression yields

                                     Price = 109.7 + 0.567BDR + 26.9Bath + 0.239Hsize + 0.005Lsize
                                                 + 0.1Age - 56.9Poor, R2 = 0.85, SER = 45.8.

	 a.	 Suppose a homeowner converts part of an existing family room in
                                       their house into a new bathroom. What is the expected increase in the
                                       value of the house?

	 b.	 Suppose that a homeowner adds a new bathroom to their house,
                                       which increases the size of the house by 80 square feet. What is the
                                       expected increase in the value of the house?

	 c.	 What is the loss in value if a homeowner lets their house run down,
                                       such that its condition becomes “poor?”

	 d.	 Compute the R2 for the regression.

	 6.6	 A researcher plans to study the causal effect of a strong legal system on
                                  the economy, using data from a sample of countries. The researcher plans
                                  to regress national income per capita on whether the country has a strong
                                  legal system or not (an indicator variable taking the value 1 or 0, based on
                                  expert opinion).

	 a.	 Do you think this regression suffers from omitted variable bias?
                                       Which variables would you add to the regression?

	 b.	 Assess whether the regression will likely over- or underestimate the
                                       effect of police on the crime rate, based on the variables you think are
                                       omitted. (That is, do you think that bn 7 b or bn 6 b?)

	 6.7	 Critique each of the following proposed research plans. Your critique
                                  should explain any problems with the proposed research and describe how
                                  the research plan might be improved. Include a discussion of any additional
   252   253   254   255   256   257   258   259   260   261   262