Table 3

Probit model estimation with random effects

(1)(2)(3)
Dependent variable: hom
Opportunity dimension
cocat–10.001***0.001*0.001***
(0.000)(0.000)(0.000)
goldt–11.972**2.3403.077*
(0.860)(2.080)(1.615)
coalt–15.121***8.935*10.486***
(1.727)(4.964)(3.900)
ruralt–114.141*30.79730.174*
(8.019)(23.547)(16.350)
unemploymentt–176.116***197.961*207.401***
(26.766)(106.368)(79.713)
oil_royaltiest–10.0000.0000.000
(0.000)(0.000)(0.000)
Political and institutional dimension
pol_partt–13.065**5.3895.867**
(1.227)(3.431)(2.758)
prim_covt–128.558***62.116**66.551***
(10.561)(26.826)(25.200)
med_covt–1−39.947***−84.176**−96.859***
(13.963)(38.554)(35.430)
Grievance dimension
povertyt–1−36.643**−69.074*−83.739***
(14.268)(37.572)(31.096)
gdp_pct–1168.375*315.995398.699**
(96.966)(217.781)(175.001)
ginit–133.725*47.25073.422*
(20.565)(48.576)(38.713)
ControlsNoNoYes
Constant−45.267***−90.833**−104.493***
(15.184)(41.606)(37.628)
lnsig2u
Constant−19.987−15.904−15.92
(8372.933)(845.037)(837.937)
Observations230230230
Log-likelihood−18.056−11.917−12.251

Note(s): 1. ***, **, * Denote significance level at 1, 5 and 10%, respectively

2. Robust errors reported

3. +control for region. ++control for region and year

Source(s): Authors' calculations

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