Table C1
Open in new tab

Negative binomial estimates of conflict fatalities by type of violence.

 Dependent variable
 State-basedNon-stateOne-sided
 Urban centreUrban clusterRuralUrban centreUrban clusterRuralUrban centreUrban clusterRural
 (1)(2)(3)(4)(5)(6)(7)(8)(9)
Time trend−0.094−0.173***−0.215***0.483***0.259***0.132**−0.023−0.0250.095*
(0.078)(0.051)(0.042)(0.072)(0.073)(0.046)(0.057)(0.070)(0.044)
Time trend20.005*0.008***0.011***−0.004*0.004*0.0010.0010.007***0.003*
(0.002)(0.002)(0.001)(0.002)(0.002)(0.001)(0.001)(0.002)(0.001)
Urbanization0.0360.085*−0.043−0.052−0.0750.088**0.0400.183***0.036
(0.047)(0.034)(0.026)(0.043)(0.045)(0.032)(0.034)(0.047)(0.030)
Urban growth−0.165*−0.013−0.131*0.0070.0410.107*−0.0590.206***−0.219***
(0.068)(0.052)(0.055)(0.062)(0.081)(0.052)(0.066)(0.046)(0.057)
Pop (log)−1.678−2.480*−1.199*−12.881***−10.545***−4.885***2.113−7.855***−2.722***
(1.802)(0.962)(0.596)(1.832)(1.782)(1.027)(1.475)(1.946)(0.774)
Polyarchy−2.0350.592−0.727−2.388*−1.2790.113−5.176***−4.814***−3.500***
(1.354)(1.068)(0.957)(1.170)(1.256)(0.861)(1.011)(1.217)(0.818)
GDP (log)−0.116−0.629**−0.534**−0.493*−0.411−0.125−0.583**0.204−0.692***
(0.293)(0.242)(0.196)(0.212)(0.222)(0.171)(0.204)(0.279)(0.187)
Observations1,2251,2251,2251,2251,2251,2251,2251,2251,225
Log Likelihood−2,564.766−2,207.323−3,641.516−913.262−812.766−1,218.246−1,980.113−1,955.873−3,115.629
Akaike Inf. Crit.5,241.5314,526.6477,395.0311,938.5231,737.5312,548.4934,072.2274,023.7466,343.258
 Dependent variable
 State-basedNon-stateOne-sided
 Urban centreUrban clusterRuralUrban centreUrban clusterRuralUrban centreUrban clusterRural
 (1)(2)(3)(4)(5)(6)(7)(8)(9)
Time trend−0.094−0.173***−0.215***0.483***0.259***0.132**−0.023−0.0250.095*
(0.078)(0.051)(0.042)(0.072)(0.073)(0.046)(0.057)(0.070)(0.044)
Time trend20.005*0.008***0.011***−0.004*0.004*0.0010.0010.007***0.003*
(0.002)(0.002)(0.001)(0.002)(0.002)(0.001)(0.001)(0.002)(0.001)
Urbanization0.0360.085*−0.043−0.052−0.0750.088**0.0400.183***0.036
(0.047)(0.034)(0.026)(0.043)(0.045)(0.032)(0.034)(0.047)(0.030)
Urban growth−0.165*−0.013−0.131*0.0070.0410.107*−0.0590.206***−0.219***
(0.068)(0.052)(0.055)(0.062)(0.081)(0.052)(0.066)(0.046)(0.057)
Pop (log)−1.678−2.480*−1.199*−12.881***−10.545***−4.885***2.113−7.855***−2.722***
(1.802)(0.962)(0.596)(1.832)(1.782)(1.027)(1.475)(1.946)(0.774)
Polyarchy−2.0350.592−0.727−2.388*−1.2790.113−5.176***−4.814***−3.500***
(1.354)(1.068)(0.957)(1.170)(1.256)(0.861)(1.011)(1.217)(0.818)
GDP (log)−0.116−0.629**−0.534**−0.493*−0.411−0.125−0.583**0.204−0.692***
(0.293)(0.242)(0.196)(0.212)(0.222)(0.171)(0.204)(0.279)(0.187)
Observations1,2251,2251,2251,2251,2251,2251,2251,2251,225
Log Likelihood−2,564.766−2,207.323−3,641.516−913.262−812.766−1,218.246−1,980.113−1,955.873−3,115.629
Akaike Inf. Crit.5,241.5314,526.6477,395.0311,938.5231,737.5312,548.4934,072.2274,023.7466,343.258

Note:

*

P < 0.05;

**

P < 0.01;

***

P < 0.001.

Table C1
Open in new tab

Negative binomial estimates of conflict fatalities by type of violence.

 Dependent variable
 State-basedNon-stateOne-sided
 Urban centreUrban clusterRuralUrban centreUrban clusterRuralUrban centreUrban clusterRural
 (1)(2)(3)(4)(5)(6)(7)(8)(9)
Time trend−0.094−0.173***−0.215***0.483***0.259***0.132**−0.023−0.0250.095*
(0.078)(0.051)(0.042)(0.072)(0.073)(0.046)(0.057)(0.070)(0.044)
Time trend20.005*0.008***0.011***−0.004*0.004*0.0010.0010.007***0.003*
(0.002)(0.002)(0.001)(0.002)(0.002)(0.001)(0.001)(0.002)(0.001)
Urbanization0.0360.085*−0.043−0.052−0.0750.088**0.0400.183***0.036
(0.047)(0.034)(0.026)(0.043)(0.045)(0.032)(0.034)(0.047)(0.030)
Urban growth−0.165*−0.013−0.131*0.0070.0410.107*−0.0590.206***−0.219***
(0.068)(0.052)(0.055)(0.062)(0.081)(0.052)(0.066)(0.046)(0.057)
Pop (log)−1.678−2.480*−1.199*−12.881***−10.545***−4.885***2.113−7.855***−2.722***
(1.802)(0.962)(0.596)(1.832)(1.782)(1.027)(1.475)(1.946)(0.774)
Polyarchy−2.0350.592−0.727−2.388*−1.2790.113−5.176***−4.814***−3.500***
(1.354)(1.068)(0.957)(1.170)(1.256)(0.861)(1.011)(1.217)(0.818)
GDP (log)−0.116−0.629**−0.534**−0.493*−0.411−0.125−0.583**0.204−0.692***
(0.293)(0.242)(0.196)(0.212)(0.222)(0.171)(0.204)(0.279)(0.187)
Observations1,2251,2251,2251,2251,2251,2251,2251,2251,225
Log Likelihood−2,564.766−2,207.323−3,641.516−913.262−812.766−1,218.246−1,980.113−1,955.873−3,115.629
Akaike Inf. Crit.5,241.5314,526.6477,395.0311,938.5231,737.5312,548.4934,072.2274,023.7466,343.258
 Dependent variable
 State-basedNon-stateOne-sided
 Urban centreUrban clusterRuralUrban centreUrban clusterRuralUrban centreUrban clusterRural
 (1)(2)(3)(4)(5)(6)(7)(8)(9)
Time trend−0.094−0.173***−0.215***0.483***0.259***0.132**−0.023−0.0250.095*
(0.078)(0.051)(0.042)(0.072)(0.073)(0.046)(0.057)(0.070)(0.044)
Time trend20.005*0.008***0.011***−0.004*0.004*0.0010.0010.007***0.003*
(0.002)(0.002)(0.001)(0.002)(0.002)(0.001)(0.001)(0.002)(0.001)
Urbanization0.0360.085*−0.043−0.052−0.0750.088**0.0400.183***0.036
(0.047)(0.034)(0.026)(0.043)(0.045)(0.032)(0.034)(0.047)(0.030)
Urban growth−0.165*−0.013−0.131*0.0070.0410.107*−0.0590.206***−0.219***
(0.068)(0.052)(0.055)(0.062)(0.081)(0.052)(0.066)(0.046)(0.057)
Pop (log)−1.678−2.480*−1.199*−12.881***−10.545***−4.885***2.113−7.855***−2.722***
(1.802)(0.962)(0.596)(1.832)(1.782)(1.027)(1.475)(1.946)(0.774)
Polyarchy−2.0350.592−0.727−2.388*−1.2790.113−5.176***−4.814***−3.500***
(1.354)(1.068)(0.957)(1.170)(1.256)(0.861)(1.011)(1.217)(0.818)
GDP (log)−0.116−0.629**−0.534**−0.493*−0.411−0.125−0.583**0.204−0.692***
(0.293)(0.242)(0.196)(0.212)(0.222)(0.171)(0.204)(0.279)(0.187)
Observations1,2251,2251,2251,2251,2251,2251,2251,2251,225
Log Likelihood−2,564.766−2,207.323−3,641.516−913.262−812.766−1,218.246−1,980.113−1,955.873−3,115.629
Akaike Inf. Crit.5,241.5314,526.6477,395.0311,938.5231,737.5312,548.4934,072.2274,023.7466,343.258

Note:

*

P < 0.05;

**

P < 0.01;

***

P < 0.001.

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