his exercise refers to the drunk driving panel data regression summarized below. Regression Analysis of the Effect of Drunk Driving Laws on Traffic Deaths Dependent variable: traffic fatility rate (deaths per 10,000). Regressor Beer tax Drinking age 18 Drinking age 19 Drinking age 20 Drinking age Mandatory jail or community service? Average vehicle miles per driver Unemployment rate Real income per capita (logarithm) Years State Effects? Time effects? (1) 0.41" (0.056) 1982-88 no no (2) (3) -0.62** -0.76*** (0.39) (0.33) no 1982-88 yes no yes yes Clustered standard errors? yes yes F-Statistics and p-Values Testing Exclusion of Groups of Variables (6) (4) (5) -0.42 -0.76** -0.46 (0.38) (0.36) (0.39) 0.023 -0.014 (0.078) (0.084) -0.023 -0.075 (0.053) (0.064) 0.034 -0.109*** (0.058) (0.058) 0.041 (0.111) 0.006 (0.005) -0.068* (0.016) 1.66* (0.66) 0.083 (0.115) 0.015 (0.011) yes yes yes -0.004 (0.022) 0.043 (0.101) 0.007 (0.005) -0.064" (0.011) 1.56 1.07 (0.63) (0.64) 1982-88 1982-88 1982-88 1982-88 1982 & 1988 only yes yes yes (7) -0.94" (0.32) yes yes yes 0.043 (0.106) -0.061 (0.103) -0.118 (0.125) 0.092 (0.164) 0.124 (0.048) -0.098 (0.022) yes yes yes

Managerial Economics: Applications, Strategies and Tactics (MindTap Course List)
14th Edition
ISBN:9781305506381
Author:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris
Publisher:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris
Chapter7: Production Economics
Section: Chapter Questions
Problem 1.3CE
icon
Related questions
Question
This exercise refers to the drunk driving panel data regression summarized below.
Regression Analysis of the Effect of Drunk Driving Laws on Traffic Deaths
Dependent variable: traffic fatility rate (deaths per 10,000).
Regressor
Beer tax
Drinking age 18
Drinking age 19
Drinking age 20
Drinking age
Mandatory jail or
community service?
Average vehicle
miles per driver
Unemployment rate
Real income per capita
(logarithm)
Years
State Effects?
Time effects?
(1)
0.41*
(0.056)
1982-88
no
no
(2)
(3) (4)
-0.62** -0.76*** -0.42
(0.39)
(0.33) (0.38)
0.023
(0.078)
-0.014
(0.084)
-0.023 -0.075
(0.053) (0.064)
0.034 -0.109***
(0.058) (0.058)
no
yes
yes
no
yes
Clustered standard errors?
yes
yes
F-Statistics and p-Values Testing Exclusion of Groups of Variables
Time effects=0
(5)
-0.76**
(0.36)
0.041 0.083
(0.111) (0.115)
0.006 0.015
(0.005) (0.011)
-0.068*
(0.016)
1.66*
(0.66)
1982-88 1982-88 1982-88 1982-88
yes
yes
yes
yes
yes
yes
(6)
-0.46
(0.39)
-0.004
(0.022)
0.043
(0.101)
0.007
(0.005)
-0.064*
(0.011)
1.56*
(0.63)
1982-88
yes
yes
yes
10.48
3.92
10.14
4.92
(0.002) (<0.001) (0.005) (<0.001)
1.57
(0.299)
0.33
(0.716)
29.15
(<0.001)
0.986
(7)
-0.94*
(0.32)
0.043
(0.106)
-0.061
(0.103)
- 0.118
(0.125)
31.16
(<0.001)
0.982
0.092
(0.164)
0.124
(0.048)
-0.098*
(0.022)
1.07
(0.64)
1982 & 1988
only
yes
yes
yes
37.82
(<0.001)
0.41
(0.797)
25.77
(<0.001)
0.803
Drinking age coefficients = 0
Unemployment rate,
income per capita = 0
R²
0.091
0.802
0.889
0.892
These regressions were estimated using panel data for 48 U.S. states. Regressions (1) through (6) use data for all years
1982 to 1988, and regression (7) uses data from 1982 and 1988 only. Standard errors are given in parentheses under the
coefficients, and p-values are given in parentheses under the F-statistics. The individual coefficient is statistically significant
at the ***10%, **5%, or *1% significance level.
New Jersey has a population of 6.3 million people. Suppose that New Jersey increased the tax on a case of beer by $1 (in 1988 dollars). Use the results in column (4) to predict the number of lives that would be saved over the next year.
The predicted number of lives that would be saved over the next year is
(Round your response to two decimal places)
Transcribed Image Text:This exercise refers to the drunk driving panel data regression summarized below. Regression Analysis of the Effect of Drunk Driving Laws on Traffic Deaths Dependent variable: traffic fatility rate (deaths per 10,000). Regressor Beer tax Drinking age 18 Drinking age 19 Drinking age 20 Drinking age Mandatory jail or community service? Average vehicle miles per driver Unemployment rate Real income per capita (logarithm) Years State Effects? Time effects? (1) 0.41* (0.056) 1982-88 no no (2) (3) (4) -0.62** -0.76*** -0.42 (0.39) (0.33) (0.38) 0.023 (0.078) -0.014 (0.084) -0.023 -0.075 (0.053) (0.064) 0.034 -0.109*** (0.058) (0.058) no yes yes no yes Clustered standard errors? yes yes F-Statistics and p-Values Testing Exclusion of Groups of Variables Time effects=0 (5) -0.76** (0.36) 0.041 0.083 (0.111) (0.115) 0.006 0.015 (0.005) (0.011) -0.068* (0.016) 1.66* (0.66) 1982-88 1982-88 1982-88 1982-88 yes yes yes yes yes yes (6) -0.46 (0.39) -0.004 (0.022) 0.043 (0.101) 0.007 (0.005) -0.064* (0.011) 1.56* (0.63) 1982-88 yes yes yes 10.48 3.92 10.14 4.92 (0.002) (<0.001) (0.005) (<0.001) 1.57 (0.299) 0.33 (0.716) 29.15 (<0.001) 0.986 (7) -0.94* (0.32) 0.043 (0.106) -0.061 (0.103) - 0.118 (0.125) 31.16 (<0.001) 0.982 0.092 (0.164) 0.124 (0.048) -0.098* (0.022) 1.07 (0.64) 1982 & 1988 only yes yes yes 37.82 (<0.001) 0.41 (0.797) 25.77 (<0.001) 0.803 Drinking age coefficients = 0 Unemployment rate, income per capita = 0 R² 0.091 0.802 0.889 0.892 These regressions were estimated using panel data for 48 U.S. states. Regressions (1) through (6) use data for all years 1982 to 1988, and regression (7) uses data from 1982 and 1988 only. Standard errors are given in parentheses under the coefficients, and p-values are given in parentheses under the F-statistics. The individual coefficient is statistically significant at the ***10%, **5%, or *1% significance level. New Jersey has a population of 6.3 million people. Suppose that New Jersey increased the tax on a case of beer by $1 (in 1988 dollars). Use the results in column (4) to predict the number of lives that would be saved over the next year. The predicted number of lives that would be saved over the next year is (Round your response to two decimal places)
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 2 steps

Blurred answer
Knowledge Booster
Regression Model
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, economics and related others by exploring similar questions and additional content below.
Similar questions
  • SEE MORE QUESTIONS
Recommended textbooks for you
Managerial Economics: Applications, Strategies an…
Managerial Economics: Applications, Strategies an…
Economics
ISBN:
9781305506381
Author:
James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris
Publisher:
Cengage Learning