- Questions 1 5 Are Based On The Following Scenario Seven Hundred Income Earning Individuals From A District Were Randoml 1 (547.88 KiB) Viewed 43 times
Answer this question using the results in column
(3):
a. Does the probability of working for the government depend on
Schooling? (Type Yes or No)
b. Friedrich Furnrohr has 16 years of schooling. What is the
probability that he will be employed by the
government? (four decimal places - express your
answer as a probability between 0 and 1)
c. Hans Schneider never went to college (12 years of schooling).
What is the probability that Hans will get a government
job? (four decimal places - express your answer
as a probability between 0 and 1)
Questions 1-5 are based on the following scenario: Seven hundred income-earning individuals from a district were randomly selected and asked whether they are government employees (Gov;=1) or not (Gov;=0); data were also collected on their gender (Male;=1 if male and 0 if female) and their years of schooling (Schooling;, in years). Note, Schooling refers to the number of years of education received by people ages 25 and older. The following table summarises several estimated models. Dependent Variable: Gov Linear Probability (3) Linear Probability Probit (1) Probit (4) Logit (5) (6) Probit (7) Logit (2) 0.551 (0.062) Schooling 0.272 (0.029) 0.035 (0.003) Male -0.242 (0.125) -0.455 (0.234) -0.050 (0.025) Male x Schooling 0.548 (0.091) 4.352 (1.291) -0.344 (0.096) -7.702 (1.238) Constant -4.107 (0.358) -8.146 (0.800) -0.172 (0.027) - 1.027 (0.098) -1.717 (0.179) 0.152 (0.021)