Page 258 -
P. 258

Exercises	257

                                  data that need to be collected and the appropriate statistical techniques for
                                  analyzing those data.

	 a.	 A researcher wants to determine whether a leading global university
                                       is biased against Black students in admissions. To determine potential
                                       bias, the researcher collects race information on all applicants to the
                                       university for a given year. The researcher plans to conduct a differ-
                                       ence in means test to determine whether the proportion of acceptances
                                       among Black candidates is systematically different from the proportion
                                       of acceptances among other candidates.

	 b.	 A researcher is interested in identifying the impact of a mother’s educa-
                                       tion on the educational attainment of her children. The researcher col-
                                       lects data on a random sample of individuals aged between 25 and 40 who
                                       have exited the schooling system. The data set contains information on
                                       each person’s level of schooling, type of school, gender, and ethnicity, as
                                       well as information on the schooling of their parents and the demographic
                                       characteristics of the household in which they grew up. The researcher
                                       plans to regress years of schooling achieved by an individual on the years
                                       of schooling of their mother, including as controls in the regression the
                                       other potential determinants of schooling (gender, ethnicity, number of
                                       siblings, whether parents lived together or were separated).

	 6.8	 A government study found that people who eat chocolate frequently weigh
                                  less than people who don’t. Researchers questioned 1000 individuals from
                                  California between the ages of 20 and 85 about their eating habits, and
                                  measured their weight and height. On average, participants ate choco-
                                  late twice a week and had a body mass index (BMI) of 28. There was an
                                  observed difference of five to seven pounds in weight between those who
                                  ate chocolate five times a week and those who did not eat any chocolate at
                                  all, with the chocolate eaters weighing less on average. Frequent chocolate
                                  eaters also consumed more calories, on average, than people who con-
                                  sumed less chocolate. Based on this summary, would you recommend that
                                  American’s who do not presently eat chocolate, consider eating chocolate
                                  up to five times a week if they want to lose weight? Why or why not?
                                  Explain.

	 6.9	 (Yi, X1i, X2i) satisfy the assumptions in Key Concept 6.4. You are interested
                                  in b1, the causal effect of X1 on Y. Suppose that X1 and X2 are uncorrelated.
                                  You estimate b1 by regressing Y onto X1 (so that X2 is not included in the
                                  regression). Does this estimator suffer from omitted variable bias? Explain.
   253   254   255   256   257   258   259   260   261   262   263