Hobust standard errors are given in parentheses under coefficients. e following statements correctly describe the reasons behind the differences observed in the coefficier significant rise in the coefficient on LEOP from the 1st specification to the 4th shows the presence of prding to the 4th specification reducing the number of law enforcement officers on patrol by one office
Hobust standard errors are given in parentheses under coefficients. e following statements correctly describe the reasons behind the differences observed in the coefficier significant rise in the coefficient on LEOP from the 1st specification to the 4th shows the presence of prding to the 4th specification reducing the number of law enforcement officers on patrol by one office
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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DTP
0.73
0.59
0.75
(0.06)
(0.12)
(0.04)
0.73
(0.13)
CCTV
Prison
2.12
2.11
(0.5)
(0.39)
288.5
(414)
182.5
191.6
219.95
(5.26)
Intercept
(11.52)
(6.68)
0.12
0.75
0.64
0.75
220
220
220
220
Heteroskedasticity-robust standard errors are given in parentheses under coefficients.
Which of the following statements correctly describe the reasons behind the differences observed in the coefficients in the given specifications? (Check all that apply.)
A.
The significant rise in the coefficient on LEOP from the 1 specification to the 4"n shows the presence of omitted variable bias in the 1st specification.
B. According to the 4"" specification, reducing the number of law enforcement officers on patrol by one officer is estimated to decrease total cost to the state by
approximately $18.10, holding constant other factors.
C.
specification suggests that the number of law enforcement officers on patrol alone explains a large fraction of the variation in total
The value of R in the 1st
cost to the state,
D. The number.of CCTV cameras installed in the district appears to be redundant As reported in regression (4), adding it to regression (2) has a negligible effect on
the estimated coefficients on LEOP and DTP or their standard errors.
Click to select your answer(s).
田
へ。
W
P.
(DELL)
Transcribed Image Text:Data on 220 reported crimes is collected from district X in 2016. Suppose CS denotes the total cost to the state of offering crime protection services to this district (in
thousand dollars), LEOP denotes the number of law enforcement officers on patrol, DTP denotes the damage to public and private property (in thousand dollars), CCTV
denotes the number of CCTV cameras installed in the district, and Prison denotes the number of prison inmates The following table shows the results of a few
regressions of the total cost to the state.
Dependent variable: total cost to the state (in thousand dollars)
Regressor
(1)
(2)
(3)
(4)
12.32
17.99
14.55
18.1
LEOP
(0.52)
(0.84)
(2.25)
(0.82)
0.73
0.59
0.75
DTP
(0 12)
(0.04)
0.73
(0.06)
CCTV
(0.13)
2.11
2.12
(0.39)
288.5
(4 14)
Prison
(0.5)
182.5
191.6
219.95
Intercept
(11.52)
(6.68)
(5.26)
0.64
0.75
0.12
0.75
R
220
220
220
220
Heteroskedasticity-robust standard errors are given in parentheses under coefficients.
Which of the following statements correctly describe the reasons behind the differences observed in the coefficients in the given specifications? (Check all that apply.)
specification.
O A. The significant rise in the coefficient on LEOP from the 1t specification to the 4" shows the presence of omitted variable bias in the 1St
Click to select your answer(s).
W
(DELL)
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