QUESTION 1 The following information relates to Questions 1-3. The estimated regressions in the following table were computed using data for 2015 from the Current Population Survey (CPS). The data set consists of information on 7178 full-time, full-year wokers. The highest education achievement for each worker was either a high school diploma or a college degree. The workers' ages ranged from 25 to 34 years. The data set also contains information on the region of the country where the person lived. marital status, and number of children. For the purpose of these exercises, let: AHE = everage hourly earnings College - binary variable 1 if college Oif high school) Female = [1 if female. Oif male) Age = age in (in years) Northeast = binary variable (1 if Region = Northeast 0 otherwise) Midwest = binary variable (1 if Region = Midwest, otherwise) South = binary variable (1 il Region = South, 0 otherwise) West = binary variable (1 if Region = West. O otherwise) Results of Regressions of Average Hourly Earnings on Sex and Education Binary Variables and Other Characteristics, Using 2015 Data from the Current Population Survey Dependent variable: average hourly earnings (AHE). Regressor (1) (2) (3) College (X1) 10.47 10.44 10.42 Female (X) -4.69 -4.56 -4.57 Age (x3) 0.61 0.61 Northeast (X4) 0.74 Midwest (X) - 1.54 South (X) -0.44 18.15 0.11 0.33 Intercept Summary Statistics SER 12.15 12.03 12.01 R2 0.165 0.182 0.185 RP n 7178 7178 7178 QUESTION 1 The following information relates to Questions 1-3. The estimated regressions in the following table were computed using data for 2015 from the Current Population Survey (CPS). The data set consists of information on 7178 full-time, full-year wokers. The highest education achievement for each worker was either a high school diploma or a college degree. The workers' ages ranged from 25 to 34 years. The data set also contains information on the region of the country where the person lived. marital status, and number of children. For the purpose of these exercises, let: AHE = everage hourly earnings College - binary variable 1 if college Oif high school) Female = [1 if female. Oif male) Age = age in (in years) Northeast = binary variable (1 if Region = Northeast 0 otherwise) Midwest = binary variable (1 if Region = Midwest, otherwise) South = binary variable (1 il Region = South, 0 otherwise) West = binary variable (1 if Region = West. O otherwise) Results of Regressions of Average Hourly Earnings on Sex and Education Binary Variables and Other Characteristics, Using 2015 Data from the Current Population Survey Dependent variable: average hourly earnings (AHE). Regressor (1) (2) (3) College (X1) 10.47 10.44 10.42 Female (X) -4.69 -4.56 -4.57 Age (x3) 0.61 0.61 Northeast (X4) 0.74 Midwest (X) - 1.54 South (X) -0.44 18.15 0.11 0.33 Intercept Summary Statistics SER 12.15 12.03 12.01 R2 0.165 0.182 0.185 RP n 7178 7178 7178
