Table 1: Responses to Questions about Possible Actions
a) Reaction to falling living standards
Endure the material hardship
Take part in protests
Work individually to improve own situation
Difficult to say
No answer
Total
471
338
1950
665
52
3476
b) Likelihood of protests in Moscow
Very likely
Likely
Unlikely
Very unlikely
Difficult to say
No answer
Total
174
869
1398
597
309
129
3476
13.8%
9.9%
56.1%
19.1%
1.5%
100%
5.0%
25.0%
40.2%
17.2%
8.9%
3.7%
100%
Table 2: Possible responses to situation in which rights were damaged (sorted by
participation rate)
Action
Would
participate
Vote
2835
81.6%
Sign
2284
petition
65.7%
Submit
1211
complaint
34.8%
Participate in
683
social organization
20.5%
Collect
678
signatures
19.5%
Demonstrate
490
14.1%
Volunteer in
388
election campaign
11.2%
Join a political
385
party
11.1%
Strike
356
10.2%
Picket state
183
offices
5.3%
Direct Actions
1712
49.3%
Electoral and Social
912
Engagement
26.2%
Would not
participate
403
11.6%
751
21.6%
1713
49.3%
2122
61.0%
2317
66.7%
2536
73.0%
2571
74.0%
2534
72.9%
2610
75.1%
2748
79.1%
1599
46.0%
2451
70.5%
Difficult to say
140
4.0%
328
9.4%
421
12.1%
528
15.2%
360
10.4%
332
9.6%
398
11.4%
425
12.2%
361
10.4%
365
10.5%
-
No answer
98
2.8%
113
3.3%
131
3.8%
143
4.1%
120
3.5%
118
3.4%
119
3.4%
132
3.8%
149
4.3%
180
5.2%
165
4.7%
113
3.3%
Answers to the question: If your rights and interests as citizen were damaged, what you
would be ready to DO for their protection? Each is coded as 1. would participate 2.
would not participate or 3. At a loss to answer.
3 dependent measures of civic engagement
1) Electoral/organizational – if said “would participate” to vote, volunteer in election campaign
or join a political party, it was coded as “electoral engagement” (would participate = 26.2%)
2) Direct (street) action – if said “would participate” to sign petition, submit complaint,
participate in a social organization, strike, or picket state offices, it was coded as “direct
actions” (would participate = 46.0%)
Table 3: Modeling the Protest response
Predictor
Odds
Coefficient
Ratio
Socio-demographic Indicators Preliminary Model Pseudo R2 = .02
Relative Material Status
.921
-.075
Gender
.803
-.206
Age
1.016
.023
Social Integration Preliminary Model Pseudo R2 = .01
Length of Residence
1.124
.117
Member of Social Organization
.617
-.482
Generic Social Capital Preliminary Model Pseudo R2 = .05
Vote for President Putin
.668
-.402
Salience of Unemployment
.638
-.449
Salience of Pace of Economic Reform
1.291
.255
Salience of Non-payment of Wages
1.307
.268
Salience of Official Corruption
.795
-.229
Salience of Govt. Control of Economy
.808
-.212
Final Model including the Rayoni dummy predictors
Arbat
2.290
Troparevo-Nikulino
3.350
Kuntsevo
5.317
Lyublino
5.079
Metrogorodok
2.326
Kapotniya
2.969
Dorogomilovo
3.916
Shchukino
2.500
Novo-Peredelkino
2.388
Koptevo
5.725
Vote for Putin
.610
Salience of Unemployment
.698
Salience of Pace of Economic Reform
1.280
Salience of Nonpayment of Wages
1.220
Salience of Official Corruption
.769
Member of Social Organization
.654
Gender
.763
Age
1.016
Standard
Error
Significance
.041
.117
.003
.052
.063
.000
.067
.129
.052
.021
.811
.057
.074
.104
.062
.056
.001
.000
.000
.001
.004
.002
Pseudo R2 = .101
1.071
.459
1.209
.457
1.670
.449
1.625
.444
.844
.463
1.088
.494
1.365
.442
.916
.461
.871
.451
1.744
.433
-.494
.124
-.359
.091
.247
.058
.199
.081
-.262
.079
-.424
.214
-.270
.121
.017
.003
.020
.008
.000
.000
.069
.028
.002
.047
.054
.000
.000
.000
.000
.015
.001
.048
.026
.000
Table 5: Modeling the Political and Electoral Engagement response
Predictor
Odds
Coefficient
Ratio
Socio-demographic Indicators Preliminary Model Pseudo R2 = .02
Number of Contributors to Household
1.095
.091
Gender
.877
-.131
Age
.989
-.011
Education
.911
-.092
Relative Material Status
.862
-.149
Social Integration Preliminary Model Pseudo R2 = .04
Member of Social Organization
.291
-1.236
Plan to Move
.891
-.115
Sector-Specific Social Capital Preliminary Model Pseudo R2 = .02
Trust in Fellow Citizens
.719
-.330
Generic Social Capital Preliminary Model Pseudo R2 = .01
Institution of Market Economy
.839
-.176
Vote for Putin
.838
-.176
Salience of Official Corruption
.849
-.163
Salience of Corruption
1.161
.149
Salience of PR??
1.138
.129
Trust in Social Organizations
.708
-.345
Final Model including the significant Rayoni dummy predictors
Arbat
1.916
.650
Kuntsevo
2.347
.853
Lublino
2.490
.912
Zelenograd
2.353
.855
Dorogomilovo
1.545
.435
Mozhaysky
1.745
.557
Shchukino
2.011
.698
Severniy Medvedkovo
2.074
.729
Koptevo
1.998
.692
Trust in Social Orgamizations
.732
-.312
Vote for Putin
.780
-.248
Reform of Market Economy
.890
-.116
Member of Social Organization
.265
-1.133
Relative Material Status
.909
-.096
Gender
.850
-.163
Age
.986
-.015
Education
.900
-.104
Number of Contributors to Household
1.093
.089
Standard
Error
Significance
.045
.081
.002
.030
.028
.000
.103
.000
.002
.069
.043
.034
.000
.003
.026
.000
.042
.079
.060
.063
.058
.034
.000
.025
.007
.018
.000
.000
Pseudo R2 = .088
.250
.009
.252
.001
.254
.000
.249
.001
.255
.089
.254
.028
.249
.005
.239
.002
.251
.006
.038
.000
.085
.004
.046
.012
.155
.000
.029
.001
.084
.054
.003
.000
.033
.001
.053
.090
Table 6: Modeling the Direct Acts Engagement response
Predictor
Odds
Coefficient
Ratio
Socio-demographic Indicators Preliminary Model Pseudo R2 = .08
Condition of Building
1.179
.176
Gender
1.366
.287
Age
1.032
.031
Education
1.185
.175
Marital Status
.774
-.253
Purchasing Power
1.109
.151
Change in Material Status
.870
-.172
Social Integration Preliminary Model Pseudo R2 = .01
Length of Residence
1.193
.176
Plan to Move
1.199
.182
Sector-Specific Social Capital Preliminary Model Pseudo R2 = .01
Trust in Fellow Citizens
.868
-.141
Generic Social Capital Preliminary Model Pseudo R2 = .05
Institution of Market Economy
1.213
.193
Salience of Pace of Economic Reform
.781
-.247
Vote for Putin
1.354
.303
Salience of Non-payment of Wages
1.212
.192
Salience of Official Corruption
1.228
.206
Salience of PR??
.596
-.517
Salience of CR??
1.244
.218
Final Model including the significant Rayoni dummy predictors
Arbat
.412
-.886
Kuntsevo
2.831
1.040
Metrogorod
.347
-1.059
Zelenograd
.496
-.701
Dorogomilovo
.383
-.959
Koptevo
1.666
.511
Reform Economy
1.107
.102
Salience of Economic Reform
.876
-.132
Salience of Official Corruption
1.237
.213
Salience of CR??
1.193
.177
Salience of PR??
.786
-.240
Trust in Fellow Citizens
.891
.-114
Purchasing Power
1.174
.160
Change in Material Status
.861
-.149
Age
1.031
.031
Education
1.148
.138
Marital Status
.782
-.246
Gender
1.389
.329
Standard
Error
Significance
.071
.114
.003
.071
.111
.074
.097
.013
.012
.000
.013
.023
.044
.077
.061
.064
.001
.001
.046
.008
.057
.045
.044
.068
.083
.053
.084
.000
.000
.004
.001
.003
.000
.001
Pseudo R2 = .132
.358
.013
.184
.000
.340
.002
.289
.015
.341
.005
.191
.007
.051
.047
.062
.035
.074
.004
.073
.016
.093
.010
.059
.056
.070
.022
.063
.018
.003
.000
.040
.001
.115
.032
.117
.005