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####Quasi-poisson regression for the entire sample controlling for Megan's Law implementation
glm1 <- glm(Sex_Offense~meglaw+state+factor(year)+factor(month),
family=quasipoisson, data=subset(meglaw_widex,
is.minor==1))
Warning messages:
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4: In doTryCatch(return(expr), name, parentenv, handler) :
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5: In doTryCatch(return(expr), name, parentenv, handler) :
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summary(glm1)
Call:
glm(formula = Sex_Offense ~ meglaw + state + factor(year) + factor(month),
family = quasipoisson, data = subset(meglaw_widex, is.minor ==
1))
Deviance Residuals:
Min 1Q Median 3Q Max
-4.7721 -1.3090 -0.4970 0.5335 24.4063
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 1.244660 0.129083 9.642 < 2e-16 ***
meglaw -0.024172 0.032127 -0.752 0.4518
stateCO -1.409570 0.031163 -45.233 < 2e-16 ***
stateIA -1.513954 0.031730 -47.713 < 2e-16 ***
stateID -0.868607 0.081822 -10.616 < 2e-16 ***
stateMA -2.272294 0.044023 -51.616 < 2e-16 ***
stateSC -0.764407 0.025811 -29.615 < 2e-16 ***
stateTX -1.558140 0.034489 -45.178 < 2e-16 ***
stateUT -1.323945 0.034128 -38.793 < 2e-16 ***
stateVA -1.160519 0.030447 -38.115 < 2e-16 ***
stateVT -3.006023 0.080595 -37.298 < 2e-16 ***
factor(year)1993 0.937796 0.118981 7.882 3.41e-15 ***
factor(year)1994 1.010042 0.120590 8.376 < 2e-16 ***
factor(year)1995 0.836136 0.119652 6.988 2.89e-12 ***
factor(year)1996 0.828492 0.126607 6.544 6.16e-11 ***
factor(year)1997 1.320012 0.131609 10.030 < 2e-16 ***
factor(year)1998 1.578537 0.136982 11.524 < 2e-16 ***
factor(year)1999 1.683986 0.141733 11.881 < 2e-16 ***
factor(year)2000 1.727402 0.145340 11.885 < 2e-16 ***
factor(year)2001 1.792774 0.149573 11.986 < 2e-16 ***
factor(year)2002 1.913366 0.159175 12.021 < 2e-16 ***
factor(month).L -0.158534 0.030897 -5.131 2.91e-07 ***
factor(month).Q -0.223847 0.027467 -8.150 3.90e-16 ***
factor(month).C -0.134718 0.027290 -4.937 8.02e-07 ***
factor(month)^4 0.114069 0.027259 4.185 2.87e-05 ***
factor(month)^5 -0.013815 0.027642 -0.500 0.6172
factor(month)^6 0.005841 0.027724 0.211 0.8331
factor(month)^7 -0.003159 0.027153 -0.116 0.9074
factor(month)^8 0.060339 0.026842 2.248 0.0246 *
factor(month)^9 -0.003880 0.026912 -0.144 0.8854
factor(month)^10 0.024623 0.026643 0.924 0.3554
factor(month)^11 0.044149 0.026141 1.689 0.0913 .
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
(Dispersion parameter for quasipoisson family taken to be 5.315651)
Null deviance: 108763 on 17369 degrees of freedom
Residual deviance: 55407 on 17338 degrees of freedom
AIC: NA
Number of Fisher Scoring iterations: 5
####Quasi-poisson regression for the entire sample controlling for Megan's Law implementation AND that the victim is a minor
glm1.minor <- glm(Sex_Offense~meglaw*state+factor(year)+factor(month),
family=quasipoisson, data=subset(meglaw_widex,
is.minor==1))
summary(glm1.minor)
Call:
glm(formula = Sex_Offense ~ meglaw * state + factor(year) + factor(month),
family = quasipoisson, data = subset(meglaw_widex, is.minor ==
1))
Deviance Residuals:
Min 1Q Median 3Q Max
-4.9356 -1.2678 -0.4494 0.4943 24.9398
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 1.227685 0.176672 6.949 3.81e-12 ***
meglaw 0.235264 0.045188 5.206 1.95e-07 ***
stateCO -0.991037 0.054278 -18.259 < 2e-16 ***
stateIA -1.210584 0.053265 -22.727 < 2e-16 ***
stateID -0.851665 0.147489 -5.774 7.85e-09 ***
stateMA -2.270003 0.079223 -28.653 < 2e-16 ***
stateSC -0.366917 0.043603 -8.415 < 2e-16 ***
stateTX -1.436693 0.059216 -24.262 < 2e-16 ***
stateUT -1.039578 0.065535 -15.863 < 2e-16 ***
stateVA -1.816995 0.078921 -23.023 < 2e-16 ***
stateVT -2.430336 0.126825 -19.163 < 2e-16 ***
factor(year)1993 0.904655 0.130437 6.936 4.19e-12 ***
factor(year)1994 0.913794 0.167742 5.448 5.17e-08 ***
factor(year)1995 0.759042 0.167185 4.540 5.66e-06 ***
factor(year)1996 0.840795 0.171847 4.893 1.00e-06 ***
factor(year)1997 1.188650 0.177744 6.687 2.34e-11 ***
factor(year)1998 1.354829 0.180776 7.495 6.97e-14 ***
factor(year)1999 1.489625 0.182592 8.158 3.63e-16 ***
factor(year)2000 1.539538 0.183851 8.374 < 2e-16 ***
factor(year)2001 1.642006 0.186286 8.814 < 2e-16 ***
factor(year)2002 1.757774 0.193113 9.102 < 2e-16 ***
factor(month).L -0.169644 0.030187 -5.620 1.94e-08 ***
factor(month).Q -0.218995 0.026802 -8.171 3.27e-16 ***
factor(month).C -0.134020 0.026611 -5.036 4.79e-07 ***
factor(month)^4 0.113004 0.026569 4.253 2.12e-05 ***
factor(month)^5 -0.012076 0.026951 -0.448 0.6541
factor(month)^6 0.003671 0.027016 0.136 0.8919
factor(month)^7 -0.003233 0.026467 -0.122 0.9028
factor(month)^8 0.062272 0.026157 2.381 0.0173 *
factor(month)^9 -0.006373 0.026230 -0.243 0.8080
factor(month)^10 0.027460 0.025962 1.058 0.2902
factor(month)^11 0.045025 0.025477 1.767 0.0772 .
meglaw:stateCO -0.581587 0.065739 -8.847 < 2e-16 ***
meglaw:stateIA -0.434211 0.065552 -6.624 3.60e-11 ***
meglaw:stateID -0.192027 0.130000 -1.477 0.1397
meglaw:stateMA 0.024739 0.093335 0.265 0.7910
meglaw:stateSC -0.585658 0.052894 -11.072 < 2e-16 ***
meglaw:stateTX -0.137377 0.070960 -1.936 0.0529 .
meglaw:stateUT -0.429197 0.075869 -5.657 1.56e-08 ***
meglaw:stateVA 0.774223 0.084946 9.114 < 2e-16 ***
meglaw:stateVT -0.928318 0.163238 -5.687 1.31e-08 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
(Dispersion parameter for quasipoisson family taken to be 5.047255)
Null deviance: 108763 on 17369 degrees of freedom
Residual deviance: 53269 on 17329 degrees of freedom
AIC: NA
Number of Fisher Scoring iterations: 5
```
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