Consider a simple model to explain a country’s alcohol related automobiles incidents (totaai) in terms of police police officers (topps): Estimating (a) using quarterly data from 1991-2024 gives: log(totaait) = 12.58 − 0.66 log(topps); (2.22) (0.33) n = 95; R2 = :439; 2. Test the null hypothesis that the coefficient on the log(topps) has no effect on the log(totaait) at the 5% level.
Consider a simple model to explain a country’s alcohol related automobiles incidents (totaai) in terms of police police officers (topps): Estimating (a) using quarterly data from 1991-2024 gives: log(totaait) = 12.58 − 0.66 log(topps); (2.22) (0.33) n = 95; R2 = :439; 2. Test the null hypothesis that the coefficient on the log(topps) has no effect on the log(totaait) at the 5% level.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Consider a simple model to explain a country’s alcohol related automobiles incidents (totaai) in terms of police police officers (topps):
Estimating (a) using quarterly data from 1991-2024 gives:
log(totaait) = 12.58 − 0.66 log(topps);
(2.22) (0.33)
n = 95; R2 = :439;
2. Test the null hypothesis that the coefficient on the log(topps) has no effect on the log(totaait) at the 5% level.
3. Suppose that both total alcohol incidents (totaai) and total police officers (totts) have a positive trend. Given this information, discuss whether the OLS estimates of ˛1 from equation (a) is unbiased (i.e., E(˛ˆ 1) = ˛1)?
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