Question

Mr. A is white, non-hispanic, 20 years old, and a high school dropout. Using the probit regression, assuming that Mr. A is not subject to a workplace smoking ban, calculate the probability that Mr. A smokes. Carry out the calculation again, assuming that he is subject to a workplace smoking ban. What is the effect of the smoking ban on the probability of smoking

Answer 1

To calculate the probability that Mr. A smokes using probit regression, we need to know the variables that are included in the model. The effect of the smoking ban on the probability of smoking can be determined by comparing the probabilities calculated with and without the ban.

Step-by-step explanation:

In order to calculate the probability that Mr. A smokes using probit regression, we need to know the variables that are included in the model. The question mentions that Mr. A is white, non-hispanic, 20 years old, and a high school dropout, but it doesn't provide information about other variables that might be included in the regression model. In probit regression, the probability that Mr. A smokes is modeled as a function of different variables, and the coefficients of those variables are estimated using maximum likelihood estimation.

To calculate the probability that Mr. A smokes assuming he is not subject to a workplace smoking ban, we would need to know the coefficients of the variables included in the model and the values of those variables for Mr. A. The same goes for calculating the probability assuming he is subject to a workplace smoking ban.

The effect of the smoking ban on the probability of smoking can be determined by comparing the probabilities calculated with and without the ban. If the probability of smoking is higher when the ban is in place, then the ban has a positive effect on reducing smoking. If the probability is lower when the ban is in place, then the ban has a negative effect on reducing smoking.

Answer 2

Answer: Hi Your question lacks some information but i will give you a general solution with similar data found online

answer

a) 15.15%

b) The effect on The probability of smoking is that the p( smoking ) will reduce from 15.15% to 11.70%

Step-by-step explanation:

Using The probit regression

from the attached question ;

for smoking

1 = smokes , 0 = do not smoke

For Independent variable

1 = ban at workplace , 0 = not ban at workplace.

sex : male = 0 , female = 1

a) Assuming Mr. A is not subject to a workplace smoking ban

P ( Mr. A smokes ) = 15.15%

b) Assuming Mr. A is subject to a workplace smoking ban

determine effect on P ( Mr. A smokes )

The effect on The probability of smoking is that the p( smoking ) will reduce from 15.15% to 11.70%