ependent variable: Pass. egression Model Probit Logit LPM Probit Logit egressor (1) (2) (3) (4) (5) 0.039 0.043 0.008 perience (0.008) (0.014) (0.003) -0.338 -0.623 ale (0.162) (0.307) alex Experience 0.718 1.057 0.779 1.288 2.197 onstant (0.128) (0.221) (0.036) (0.127) (0.244) Its in column (2) to answer the following questions. ient on Experience significant at any reasonable level? coefficient on Experience is significant at the 5%, but not at the 1% significance level. coefficient on Experience is significant at the 10%, but not at the 5% or 1% significance level. coefficient on Experience is not significant at any reasonable level. coefficient on Experience is significant at the 1% significance level. years of driving experience. What is the predicted probability that he will pass the test? The predicted probability that John will pass the test is LPM (6) -0.071 (0.035) 0.904 (0.023)

ENGR.ECONOMIC ANALYSIS
14th Edition
ISBN:9780190931919
Author:NEWNAN
Publisher:NEWNAN
Chapter1: Making Economics Decisions
Section: Chapter Questions
Problem 1QTC
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Four hundred driver's license applicants were randomly selected and asked whether they passed their driving test (Pass; = 1) or failed their
test (Pass; = 0); data were also located on their gender (Male; = 1 if male and = 0 if female) and their years of driving experience
(Experience,, in years). The following table summarizes the results from several probit, logit and linear probability models.
Dependent variable: Pass.
Regression Model
Logit
LPM
Probit
Probit
(1)
Logit
(2)
LPM
(3)
Probit
(4)
Regressor
(5)
(6)
0.039
0.043
0.008
0.045
Experience
(0.008)
(0.014)
(0.003)
(0.158)
-0.623
-0.071
-0.171
Male
- 0.338
(0.162)
(0.307) (0.035)
(0.261)
-0.012
Malex Experience
(0.022)
0.802
0.718
1.057
0.779
1.288
2.197
0.904
Constant
(0.128)
(0.221) (0.036) (0.127) (0.244)
(0.023)
(0.202)
Use the results in column (2) to answer the following questions.
Is the coefficient on Experience significant at any reasonable level?
OA. The coefficient on Experience is significant at the 5%, but not at the 1% significance level.
B. The coefficient on Experience is significant at the 10%, but not at the 5% or 1% significance level.
C. The coefficient on Experience is not significant at any reasonable level.
D. The coefficient on Experience is significant at the 1% significance level.
John has 20 years of driving experience. What is the predicted probability that he will pass the test?
The predicted probability that John will pass the test is
Transcribed Image Text:Four hundred driver's license applicants were randomly selected and asked whether they passed their driving test (Pass; = 1) or failed their test (Pass; = 0); data were also located on their gender (Male; = 1 if male and = 0 if female) and their years of driving experience (Experience,, in years). The following table summarizes the results from several probit, logit and linear probability models. Dependent variable: Pass. Regression Model Logit LPM Probit Probit (1) Logit (2) LPM (3) Probit (4) Regressor (5) (6) 0.039 0.043 0.008 0.045 Experience (0.008) (0.014) (0.003) (0.158) -0.623 -0.071 -0.171 Male - 0.338 (0.162) (0.307) (0.035) (0.261) -0.012 Malex Experience (0.022) 0.802 0.718 1.057 0.779 1.288 2.197 0.904 Constant (0.128) (0.221) (0.036) (0.127) (0.244) (0.023) (0.202) Use the results in column (2) to answer the following questions. Is the coefficient on Experience significant at any reasonable level? OA. The coefficient on Experience is significant at the 5%, but not at the 1% significance level. B. The coefficient on Experience is significant at the 10%, but not at the 5% or 1% significance level. C. The coefficient on Experience is not significant at any reasonable level. D. The coefficient on Experience is significant at the 1% significance level. John has 20 years of driving experience. What is the predicted probability that he will pass the test? The predicted probability that John will pass the test is
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