|
Teitelbaum
Partners in Production or Crime?
39
Table 3: Logistic Model of Violent and Extreme Protest Actions
Explanatory Variable
Odds Ratio
Standard
Error
z P>|z|
Major Party
14.53298
16.79699 2.32
0.021
Control
4.202867
2.102633 2.87
0.004
MajorParty*Control
.0730927
.0585095 -3.27
0.001
Number of Workers
1.003889
.0008604 4.53
0.000
Meetings With Management
.5562948
.2821288 -1.16
0.248
Wages in Dollars
1.000394
0041881
0.09
0.925
Party in Power
.692037
.5108162 -0.50
0.618
Inflation
t-1
1.022933
.0685246 0.34
0.735
Growth
t-1
.9023971
.0657576 -1.41
0.159
Kerala
4.40765
4.777537 1.37
0.171
Maharashtra
43.24281
52.42071 3.11
0.002
Sri Lanka
20.36554
22.85765 2.69
0.007
Number of Protest Events = 185
Percent Correctly Classified = 88.65
Log likelihood = -57.240766
Pseudo R2 = .3515
Probability > chi2 = .0000
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