Table B1
Open in new tab

Negative binomial estimates of conflict events by type of violence (all events).

 Dependent variable:
 State-basedNon-stateOne-sided
 Urban centreUrban clusterRuralUrban centreUrban clusterRuralUrban centreUrban clusterRural
 (1)(2)(3)(4)(5)(6)(7)(8)(9)
Time trend−0.029−0.0380.0170.152**0.1010.083*−0.017−0.0160.070
(0.054)(0.042)(0.038)(0.058)(0.061)(0.041)(0.057)(0.049)(0.041)
Time trend20.005***0.006***0.005***0.0010.0020.002*0.0010.005***0.003**
(0.001)(0.001)(0.001)(0.001)(0.002)(0.001)(0.001)(0.001)(0.001)
Urbanization−0.0030.107***0.006−0.019−0.099*0.0400.0370.0540.003
(0.032)(0.027)(0.024)(0.039)(0.047)(0.031)(0.034)(0.034)(0.027)
Urban growth−0.187***−0.038−0.199***0.093−0.0310.084−0.0580.126**−0.222***
(0.056)(0.041)(0.051)(0.072)(0.073)(0.051)(0.066)(0.041)(0.055)
Pop (log)−1.022−2.788***−1.890**−6.208***−0.229−3.583***1.972−2.284*−2.077**
(1.222)(0.795)(0.618)(1.483)(1.491)(0.815)(1.466)(1.019)(0.683)
Polyarchy−0.644−0.427−1.757*0.4610.3200.334−5.051***−2.546**−3.176***
(0.913)(0.802)(0.717)(1.029)(1.101)(0.831)(1.009)(0.949)(0.791)
GDP (log)−0.278−1.085***−0.886***0.131−0.446−0.043−0.599**−0.328−0.789***
(0.212)(0.191)(0.162)(0.211)(0.236)(0.165)(0.204)(0.217)(0.176)
Observations1,2251,2251,2251,2251,2251,2251,2251,2251,225
Log Likelihood−2,590.571−2,355.784−4,545.514−924.555−826.329−1,374.457−1,995.722−2,049.482−3,550.502
Akaike Inf. Crit.5,293.1424,823.5689,203.0271,961.1101,764.6582,860.9144,103.4434,210.9647,213.004
 Dependent variable:
 State-basedNon-stateOne-sided
 Urban centreUrban clusterRuralUrban centreUrban clusterRuralUrban centreUrban clusterRural
 (1)(2)(3)(4)(5)(6)(7)(8)(9)
Time trend−0.029−0.0380.0170.152**0.1010.083*−0.017−0.0160.070
(0.054)(0.042)(0.038)(0.058)(0.061)(0.041)(0.057)(0.049)(0.041)
Time trend20.005***0.006***0.005***0.0010.0020.002*0.0010.005***0.003**
(0.001)(0.001)(0.001)(0.001)(0.002)(0.001)(0.001)(0.001)(0.001)
Urbanization−0.0030.107***0.006−0.019−0.099*0.0400.0370.0540.003
(0.032)(0.027)(0.024)(0.039)(0.047)(0.031)(0.034)(0.034)(0.027)
Urban growth−0.187***−0.038−0.199***0.093−0.0310.084−0.0580.126**−0.222***
(0.056)(0.041)(0.051)(0.072)(0.073)(0.051)(0.066)(0.041)(0.055)
Pop (log)−1.022−2.788***−1.890**−6.208***−0.229−3.583***1.972−2.284*−2.077**
(1.222)(0.795)(0.618)(1.483)(1.491)(0.815)(1.466)(1.019)(0.683)
Polyarchy−0.644−0.427−1.757*0.4610.3200.334−5.051***−2.546**−3.176***
(0.913)(0.802)(0.717)(1.029)(1.101)(0.831)(1.009)(0.949)(0.791)
GDP (log)−0.278−1.085***−0.886***0.131−0.446−0.043−0.599**−0.328−0.789***
(0.212)(0.191)(0.162)(0.211)(0.236)(0.165)(0.204)(0.217)(0.176)
Observations1,2251,2251,2251,2251,2251,2251,2251,2251,225
Log Likelihood−2,590.571−2,355.784−4,545.514−924.555−826.329−1,374.457−1,995.722−2,049.482−3,550.502
Akaike Inf. Crit.5,293.1424,823.5689,203.0271,961.1101,764.6582,860.9144,103.4434,210.9647,213.004

Note:

*

P < 0.05;

**

P < .01;

***

P < .001.

Table B1
Open in new tab

Negative binomial estimates of conflict events by type of violence (all events).

 Dependent variable:
 State-basedNon-stateOne-sided
 Urban centreUrban clusterRuralUrban centreUrban clusterRuralUrban centreUrban clusterRural
 (1)(2)(3)(4)(5)(6)(7)(8)(9)
Time trend−0.029−0.0380.0170.152**0.1010.083*−0.017−0.0160.070
(0.054)(0.042)(0.038)(0.058)(0.061)(0.041)(0.057)(0.049)(0.041)
Time trend20.005***0.006***0.005***0.0010.0020.002*0.0010.005***0.003**
(0.001)(0.001)(0.001)(0.001)(0.002)(0.001)(0.001)(0.001)(0.001)
Urbanization−0.0030.107***0.006−0.019−0.099*0.0400.0370.0540.003
(0.032)(0.027)(0.024)(0.039)(0.047)(0.031)(0.034)(0.034)(0.027)
Urban growth−0.187***−0.038−0.199***0.093−0.0310.084−0.0580.126**−0.222***
(0.056)(0.041)(0.051)(0.072)(0.073)(0.051)(0.066)(0.041)(0.055)
Pop (log)−1.022−2.788***−1.890**−6.208***−0.229−3.583***1.972−2.284*−2.077**
(1.222)(0.795)(0.618)(1.483)(1.491)(0.815)(1.466)(1.019)(0.683)
Polyarchy−0.644−0.427−1.757*0.4610.3200.334−5.051***−2.546**−3.176***
(0.913)(0.802)(0.717)(1.029)(1.101)(0.831)(1.009)(0.949)(0.791)
GDP (log)−0.278−1.085***−0.886***0.131−0.446−0.043−0.599**−0.328−0.789***
(0.212)(0.191)(0.162)(0.211)(0.236)(0.165)(0.204)(0.217)(0.176)
Observations1,2251,2251,2251,2251,2251,2251,2251,2251,225
Log Likelihood−2,590.571−2,355.784−4,545.514−924.555−826.329−1,374.457−1,995.722−2,049.482−3,550.502
Akaike Inf. Crit.5,293.1424,823.5689,203.0271,961.1101,764.6582,860.9144,103.4434,210.9647,213.004
 Dependent variable:
 State-basedNon-stateOne-sided
 Urban centreUrban clusterRuralUrban centreUrban clusterRuralUrban centreUrban clusterRural
 (1)(2)(3)(4)(5)(6)(7)(8)(9)
Time trend−0.029−0.0380.0170.152**0.1010.083*−0.017−0.0160.070
(0.054)(0.042)(0.038)(0.058)(0.061)(0.041)(0.057)(0.049)(0.041)
Time trend20.005***0.006***0.005***0.0010.0020.002*0.0010.005***0.003**
(0.001)(0.001)(0.001)(0.001)(0.002)(0.001)(0.001)(0.001)(0.001)
Urbanization−0.0030.107***0.006−0.019−0.099*0.0400.0370.0540.003
(0.032)(0.027)(0.024)(0.039)(0.047)(0.031)(0.034)(0.034)(0.027)
Urban growth−0.187***−0.038−0.199***0.093−0.0310.084−0.0580.126**−0.222***
(0.056)(0.041)(0.051)(0.072)(0.073)(0.051)(0.066)(0.041)(0.055)
Pop (log)−1.022−2.788***−1.890**−6.208***−0.229−3.583***1.972−2.284*−2.077**
(1.222)(0.795)(0.618)(1.483)(1.491)(0.815)(1.466)(1.019)(0.683)
Polyarchy−0.644−0.427−1.757*0.4610.3200.334−5.051***−2.546**−3.176***
(0.913)(0.802)(0.717)(1.029)(1.101)(0.831)(1.009)(0.949)(0.791)
GDP (log)−0.278−1.085***−0.886***0.131−0.446−0.043−0.599**−0.328−0.789***
(0.212)(0.191)(0.162)(0.211)(0.236)(0.165)(0.204)(0.217)(0.176)
Observations1,2251,2251,2251,2251,2251,2251,2251,2251,225
Log Likelihood−2,590.571−2,355.784−4,545.514−924.555−826.329−1,374.457−1,995.722−2,049.482−3,550.502
Akaike Inf. Crit.5,293.1424,823.5689,203.0271,961.1101,764.6582,860.9144,103.4434,210.9647,213.004

Note:

*

P < 0.05;

**

P < .01;

***

P < .001.

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