Table 2
Fixed effect negative binomial regressions
|
Dependent Variable |
Total Fatalities |
Serious Injuries |
Slight Injuries | |||||||||
|
______a______ |
_______B______ |
_______C_______ |
______D______ |
_______E_______ |
_______F_______ | |||||||
|
Variables |
Coef. |
t-stat |
Coef. |
t-stat |
Coef. |
t-stat |
Coef. |
t-stat |
Coef. |
t-stat |
Coef. |
t-stat |
|
ln(average vehicle age) |
-0.362 |
-2.64 |
-0.295 |
-1.66 |
0.471 |
2.20 |
0.466 |
2.36 |
-0.029 |
-0.27 |
0.046 |
0.42 |
|
ln(% network miles of motorway & trunk road) |
-0.134 |
-0.55 |
-0.158 |
-0.56 |
0.565 |
2.66 |
0.499 |
1.72 |
0.457 |
2.78 |
0.166 |
0.99 |
|
ln(% network miles of other roads) |
0.047 |
0.48 |
-0.007 |
-0.07 |
-0.458 |
-3.67 |
-0.516 |
-4.63 |
0.062 |
1.04 |
0.070 |
1.36 |
|
ln(Motorway length per square km of area) |
0.008 |
0.10 |
-0.195 |
-1.80 |
-0.182 |
-3.78 |
-0.130 |
-1.28 |
-0.151 |
-2.38 |
-0.068 |
-1.17 |
|
ln(Trunk road length per square km of area |
0.115 |
0.66 |
0.133 |
0.68 |
-0.144 |
-0.79 |
-0.195 |
-0.90 |
-0.418 |
-3.63 |
-0.114 |
-0.95 |
|
ln(Vehicles per thousand population) |
0.047 |
1.31 |
0.053 |
1.04 |
0.027 |
0.61 |
0.063 |
1.28 |
0.023 |
0.64 |
0.003 |
0.09 |
|
ln(% of household having no car) |
0.108 |
1.09 |
0.131 |
1.38 |
0.143 |
1.25 |
0.147 |
1.39 |
-0.131 |
-1.85 |
-0.016 |
-0.27 |
|
ln(GDP £ per capita 1998 £)_______________________ |
0.062 |
0.27 |
0.259 |
1.17 |
0.030 |
0.11 |
-0.605 |
-2.36 |
-0.367 |
-2.14 |
-0.203 |
-1.35 |
|
ln(Per capita expenditure on alcohol, 1998 £) |
0.395 |
4.09 |
0.223 |
2.24 |
0.408 |
3.86 |
0.441 |
4.42 |
0.210 |
2.92 |
0.118 |
1.89 |
|
ln(Average length of inpatient stay in the hospital) |
0.283 |
2.48 |
-0.449 |
-3.41 |
-0.157 |
-2.16 | ||||||
|
ln(NHS staff per thousand population) |
-0.090 |
-1.57 |
0.194 |
2.98 |
0.160 |
3.69 | ||||||
|
ln(Persons waiting for hospital treatment) |
0.138 |
2.18 |
-0.159 |
-2.32 |
0.000 |
0.00 | ||||||
|
ln(Total population) |
0.079 |
1.16 |
-0.050 |
-0.52 |
0.305 |
3.60 |
0.607 |
6.08 |
0.101 |
1.89 |
0.231 |
3.44 |
|
ln(% population age 0-14) |
-0.245 |
-0.92 |
-0.294 |
-1.07 |
0.156 |
0.46 |
0.004 |
0.01 |
0.210 |
1.01 |
0.297 |
1.66 |
|
ln(% population age 15-24) |
0.063 |
0.67 |
0.064 |
0.64 |
0.212 |
1.73 |
0.074 |
0.64 |
0.149 |
2.00 |
0.166 |
2.60 |
|
ln(% population age 25-44) |
-0.131 |
-0.61 |
0.158 |
0.70 |
-0.460 |
-1.82 |
-0.314 |
-1.34 |
-0.238 |
-1.41 |
-0.050 |
-0.33 |
|
ln(% population age 45-64) |
0.164 |
0.68 |
-0.376 |
-1.48 |
-1.901 |
-6.78 |
-1.314 |
-4.76 |
-0.336 |
-1.54 |
-0.572 |
-3.43 |
|
ln(% population age 65 or over) |
0.615 |
2.91 |
0.562 |
2.37 |
0.587 |
2.15 |
0.443 |
1.64 |
0.358 |
2.25 |
-0.141 |
-0.89 |
|
constant |
2.271 |
0.64 |
5.974 |
1.50 |
-2.503 |
-0.59 |
-0.422 |
-0.09 |
3.179 |
1.16 |
3.368 |
1.43 |
|
Number of observations |
200 |
180 |
______200 |
_______180 |
______200 |
_______180 | ||||||
|
Log likelihood function at convergence |
-858.930 |
-756.541 |
-1367.160 |
-1194.350 |
-1553.930 |
-1341.510 | ||||||
|
Log likelihood function at zero |
-1207.726 |
-1207.726 |
-1787.880 |
-1787.880 |
-1858.280 |
-1858.280 | ||||||
|
Log likelihood ratio index |
0.289 |
0.374 |
0.235 |
0.332 |
0.164 |
0.278 | ||||||
* year dummy variables are not shown for brevity
24
More intriguing information
1. Detecting Multiple Breaks in Financial Market Volatility Dynamics2. The name is absent
3. Auction Design without Commitment
4. The purpose of this paper is to report on the 2008 inaugural Equal Opportunities Conference held at the University of East Anglia, Norwich
5. he Virtual Playground: an Educational Virtual Reality Environment for Evaluating Interactivity and Conceptual Learning
6. The name is absent
7. Draft of paper published in:
8. The name is absent
9. THE UNCERTAIN FUTURE OF THE MEXICAN MARKET FOR U.S. COTTON: IMPACT OF THE ELIMINATION OF TEXTILE AND CLOTHING QUOTAS
10. 101 Proposals to reform the Stability and Growth Pact. Why so many? A Survey