## Family: student
## Links: mu = identity; sigma = identity; nu = identity
## Formula: trust ~ 1 + (1 | nuts2)
## Data: cee04 (Number of observations: 4649)
## Draws: 3 chains, each with iter = 44000; warmup = 4000; thin = 4;
## total post-warmup draws = 30000
##
## Group-Level Effects:
## ~nuts2 (Number of levels: 26)
## Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
## sd(Intercept) 0.46 0.08 0.34 0.64 1.00 19772 24066
##
## Population-Level Effects:
## Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
## Intercept 3.23 0.10 3.04 3.42 1.00 15168 21572
##
## Family Specific Parameters:
## Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
## sigma 1.78 0.02 1.74 1.82 1.00 29778 29210
## nu 74.81 20.37 42.78 122.02 1.00 30138 29168
##
## Draws were sampled using sampling(NUTS). For each parameter, Bulk_ESS
## and Tail_ESS are effective sample size measures, and Rhat is the potential
## scale reduction factor on split chains (at convergence, Rhat = 1).
Trace-Plot
Trace-Plot
Trace-Plot
Trace-Plot
Trace-Plot
Trace-Plot
Trace-Plot
Trace-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Posterior-Plot
Posterior-Plot
Posterior-Plot
Posterior-Plot
## Family: student
## Links: mu = identity; sigma = identity; nu = identity
## Formula: trust ~ 1 + (1 | nuts2) + stfdemc + stfgovc + outcomec + stfgovc:stfdemc + stfgovc:outcomec
## Data: cee04 (Number of observations: 4649)
## Draws: 3 chains, each with iter = 44000; warmup = 4000; thin = 4;
## total post-warmup draws = 30000
##
## Group-Level Effects:
## ~nuts2 (Number of levels: 26)
## Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
## sd(Intercept) 0.46 0.07 0.34 0.63 1.00 16294 23428
##
## Population-Level Effects:
## Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
## Intercept 3.29 0.09 3.11 3.48 1.00 12387 19145
## stfdemc 0.95 0.05 0.85 1.06 1.00 30357 29844
## stfgovc 1.27 0.06 1.15 1.39 1.00 30198 29724
## outcomec 0.41 0.06 0.30 0.52 1.00 29630 28982
## stfdemc:stfgovc 0.22 0.10 0.02 0.41 1.00 27995 28896
## stfgovc:outcomec -0.37 0.10 -0.56 -0.18 1.00 29742 29719
##
## Family Specific Parameters:
## Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
## sigma 1.35 0.02 1.30 1.39 1.00 29150 27861
## nu 14.89 3.11 10.36 22.34 1.00 29243 28133
##
## Draws were sampled using sampling(NUTS). For each parameter, Bulk_ESS
## and Tail_ESS are effective sample size measures, and Rhat is the potential
## scale reduction factor on split chains (at convergence, Rhat = 1).
Trace-Plot
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Trace-Plot
Trace-Plot
Trace-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Posterior-Plot
Posterior-Plot
Posterior-Plot
Posterior-Plot
## Family: student
## Links: mu = identity; sigma = identity; nu = identity
## Formula: trust ~ 1 + (1 | nuts2) + stfdemc + stfgovc + outcomec + stfgovc:stfdemc + stfgovc:outcomec + ageac + gndr + class5 + eduyrsc + hincfel2 + hincsrca2 + socialist + votgov
## Data: cee04 (Number of observations: 4649)
## Draws: 3 chains, each with iter = 44000; warmup = 4000; thin = 4;
## total post-warmup draws = 30000
##
## Group-Level Effects:
## ~nuts2 (Number of levels: 26)
## Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
## sd(Intercept) 0.45 0.07 0.34 0.62 1.00 17315 24191
##
## Population-Level Effects:
## Estimate Est.Error l-95% CI u-95% CI Rhat
## Intercept 3.23 0.14 2.96 3.51 1.00
## stfdemc 0.95 0.05 0.84 1.06 1.00
## stfgovc 1.26 0.06 1.14 1.38 1.00
## outcomec 0.41 0.06 0.29 0.52 1.00
## ageac 0.09 0.12 -0.13 0.32 1.00
## gndrfemale 0.16 0.04 0.08 0.25 1.00
## class5LowerMgradeserviceclass -0.02 0.08 -0.18 0.14 1.00
## class5Smallbusinessowners -0.21 0.10 -0.40 -0.02 1.00
## class5Skilledworkers -0.04 0.08 -0.20 0.11 1.00
## class5Unskilledworkers -0.06 0.09 -0.24 0.12 1.00
## eduyrsc 0.06 0.05 -0.05 0.17 1.00
## hincfel2good 0.09 0.05 0.00 0.18 1.00
## hincsrca2stateaid 0.12 0.06 0.00 0.24 1.00
## socialistoldsocialist -0.10 0.10 -0.30 0.11 1.00
## socialistsocialist -0.04 0.07 -0.19 0.10 1.00
## votgovvoted -0.01 0.05 -0.11 0.09 1.00
## stfdemc:stfgovc 0.20 0.10 0.01 0.40 1.00
## stfgovc:outcomec -0.34 0.10 -0.53 -0.16 1.00
## Bulk_ESS Tail_ESS
## Intercept 17711 24344
## stfdemc 29755 29193
## stfgovc 30210 28920
## outcomec 30163 29503
## ageac 26683 28386
## gndrfemale 30160 29407
## class5LowerMgradeserviceclass 25690 28857
## class5Smallbusinessowners 25445 27695
## class5Skilledworkers 24773 27400
## class5Unskilledworkers 24048 27622
## eduyrsc 28915 29150
## hincfel2good 30121 30224
## hincsrca2stateaid 28748 29102
## socialistoldsocialist 27546 28637
## socialistsocialist 27208 28767
## votgovvoted 29081 28667
## stfdemc:stfgovc 28701 29455
## stfgovc:outcomec 29511 28371
##
## Family Specific Parameters:
## Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
## sigma 1.34 0.02 1.29 1.38 1.00 28644 28637
## nu 14.01 2.78 9.86 20.69 1.00 28735 28680
##
## Draws were sampled using sampling(NUTS). For each parameter, Bulk_ESS
## and Tail_ESS are effective sample size measures, and Rhat is the potential
## scale reduction factor on split chains (at convergence, Rhat = 1).
Trace-Plot
Trace-Plot
Trace-Plot
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Trace-Plot
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Trace-Plot
Trace-Plot
Trace-Plot
Trace-Plot
Trace-Plot
Trace-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Posterior-Plot
Posterior-Plot
Posterior-Plot
Posterior-Plot
Posterior-Plot
Posterior-Plot
## Family: student
## Links: mu = identity; sigma = identity; nu = identity
## Formula: trust ~ 1 + (1 | nuts2) + stfdemc + stfgovc + outcomec + stfgovc:stfdemc + stfgovc:outcomec + ageac + gndr + class5 + eduyrsc + hincfel2 + hincsrca2 + socialist + votgov + ppltrstc + gincdifc + freehmsc + ipeqoptc + impfreec
## Data: cee04 (Number of observations: 4649)
## Draws: 3 chains, each with iter = 44000; warmup = 4000; thin = 4;
## total post-warmup draws = 30000
##
## Group-Level Effects:
## ~nuts2 (Number of levels: 26)
## Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
## sd(Intercept) 0.46 0.07 0.34 0.63 1.00 17761 25820
##
## Population-Level Effects:
## Estimate Est.Error l-95% CI u-95% CI Rhat
## Intercept 3.22 0.14 2.95 3.50 1.00
## stfdemc 0.87 0.05 0.76 0.97 1.00
## stfgovc 1.24 0.06 1.12 1.36 1.00
## outcomec 0.36 0.06 0.25 0.47 1.00
## ageac 0.10 0.11 -0.13 0.32 1.00
## gndrfemale 0.16 0.04 0.07 0.24 1.00
## class5LowerMgradeserviceclass -0.01 0.08 -0.16 0.15 1.00
## class5Smallbusinessowners -0.18 0.10 -0.37 0.01 1.00
## class5Skilledworkers -0.02 0.08 -0.17 0.14 1.00
## class5Unskilledworkers -0.05 0.09 -0.22 0.13 1.00
## eduyrsc 0.03 0.05 -0.07 0.14 1.00
## hincfel2good 0.08 0.05 -0.01 0.17 1.00
## hincsrca2stateaid 0.13 0.06 0.01 0.25 1.00
## socialistoldsocialist -0.10 0.10 -0.31 0.10 1.00
## socialistsocialist -0.03 0.07 -0.17 0.11 1.00
## votgovvoted -0.01 0.05 -0.11 0.09 1.00
## ppltrstc 0.50 0.05 0.41 0.59 1.00
## gincdifc 0.02 0.04 -0.07 0.10 1.00
## freehmsc -0.03 0.04 -0.12 0.05 1.00
## ipeqoptc 0.14 0.04 0.05 0.22 1.00
## impfreec -0.05 0.04 -0.14 0.03 1.00
## stfdemc:stfgovc 0.25 0.10 0.06 0.44 1.00
## stfgovc:outcomec -0.35 0.09 -0.53 -0.16 1.00
## Bulk_ESS Tail_ESS
## Intercept 19488 25213
## stfdemc 29783 28904
## stfgovc 29673 29070
## outcomec 30303 28830
## ageac 27198 29152
## gndrfemale 29691 28842
## class5LowerMgradeserviceclass 26629 28623
## class5Smallbusinessowners 27325 28301
## class5Skilledworkers 26220 28731
## class5Unskilledworkers 25950 28313
## eduyrsc 28374 29423
## hincfel2good 29870 29038
## hincsrca2stateaid 29005 29346
## socialistoldsocialist 27879 29276
## socialistsocialist 28012 27903
## votgovvoted 29941 28803
## ppltrstc 30543 29003
## gincdifc 29315 28915
## freehmsc 29571 29885
## ipeqoptc 29182 29199
## impfreec 29458 29172
## stfdemc:stfgovc 29812 29716
## stfgovc:outcomec 29521 29550
##
## Family Specific Parameters:
## Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
## sigma 1.31 0.02 1.26 1.35 1.00 27383 29388
## nu 12.62 2.27 9.17 17.99 1.00 27531 28994
##
## Draws were sampled using sampling(NUTS). For each parameter, Bulk_ESS
## and Tail_ESS are effective sample size measures, and Rhat is the potential
## scale reduction factor on split chains (at convergence, Rhat = 1).
Trace-Plot
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Trace-Plot
Trace-Plot
Trace-Plot
Trace-Plot
Trace-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Posterior-Plot
Posterior-Plot
Posterior-Plot
Posterior-Plot
Posterior-Plot
Posterior-Plot
## Family: student
## Links: mu = identity; sigma = identity; nu = identity
## Formula: trust ~ 1 + (1 | nuts2) + stfdemc + stfgovc + outcomec + stfgovc:stfdemc + stfgovc:outcomec + ageac + gndr + class5 + eduyrsc + hincfel2 + hincsrca2 + socialist + votgov + ppltrstc + gincdifc + freehmsc + ipeqoptc + impfreec + rankgm + neggm + gincdifgm + impfreegm + ipeqoptgm
## Data: cee04 (Number of observations: 4649)
## Draws: 3 chains, each with iter = 44000; warmup = 4000; thin = 4;
## total post-warmup draws = 30000
##
## Group-Level Effects:
## ~nuts2 (Number of levels: 26)
## Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
## sd(Intercept) 0.43 0.08 0.30 0.61 1.00 24080 25752
##
## Population-Level Effects:
## Estimate Est.Error l-95% CI u-95% CI Rhat
## Intercept 3.20 0.14 2.93 3.48 1.00
## stfdemc 0.87 0.05 0.76 0.97 1.00
## stfgovc 1.24 0.06 1.12 1.36 1.00
## outcomec 0.36 0.06 0.25 0.47 1.00
## ageac 0.10 0.11 -0.12 0.32 1.00
## gndrfemale 0.16 0.04 0.07 0.24 1.00
## class5LowerMgradeserviceclass -0.01 0.08 -0.17 0.15 1.00
## class5Smallbusinessowners -0.18 0.10 -0.37 0.01 1.00
## class5Skilledworkers -0.02 0.08 -0.17 0.14 1.00
## class5Unskilledworkers -0.05 0.09 -0.22 0.13 1.00
## eduyrsc 0.03 0.05 -0.07 0.14 1.00
## hincfel2good 0.08 0.05 -0.01 0.17 1.00
## hincsrca2stateaid 0.12 0.06 0.01 0.24 1.00
## socialistoldsocialist -0.11 0.10 -0.31 0.09 1.00
## socialistsocialist -0.03 0.07 -0.18 0.11 1.00
## votgovvoted -0.01 0.05 -0.11 0.08 1.00
## ppltrstc 0.50 0.05 0.41 0.59 1.00
## gincdifc 0.02 0.04 -0.07 0.10 1.00
## freehmsc -0.03 0.04 -0.12 0.05 1.00
## ipeqoptc 0.14 0.04 0.05 0.22 1.00
## impfreec -0.05 0.04 -0.14 0.03 1.00
## rankgm 0.11 0.20 -0.28 0.50 1.00
## neggm -0.46 0.27 -1.00 0.07 1.00
## gincdifgm 0.68 0.27 0.15 1.22 1.00
## impfreegm -0.12 0.28 -0.66 0.43 1.00
## ipeqoptgm -0.23 0.36 -0.94 0.48 1.00
## stfdemc:stfgovc 0.25 0.10 0.06 0.45 1.00
## stfgovc:outcomec -0.35 0.10 -0.53 -0.16 1.00
## Bulk_ESS Tail_ESS
## Intercept 28899 28931
## stfdemc 29413 29006
## stfgovc 30088 30249
## outcomec 29791 28512
## ageac 29899 29512
## gndrfemale 28617 28803
## class5LowerMgradeserviceclass 29534 29349
## class5Smallbusinessowners 29343 29471
## class5Skilledworkers 29117 28347
## class5Unskilledworkers 29670 29655
## eduyrsc 29140 29196
## hincfel2good 30115 29153
## hincsrca2stateaid 29669 29335
## socialistoldsocialist 29964 29740
## socialistsocialist 29696 29230
## votgovvoted 29468 28719
## ppltrstc 28990 28413
## gincdifc 29448 28323
## freehmsc 29340 28479
## ipeqoptc 28749 28356
## impfreec 28453 28451
## rankgm 29075 29433
## neggm 28558 28772
## gincdifgm 28857 29246
## impfreegm 28368 28747
## ipeqoptgm 28131 28565
## stfdemc:stfgovc 29424 29778
## stfgovc:outcomec 30174 29387
##
## Family Specific Parameters:
## Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
## sigma 1.31 0.02 1.26 1.35 1.00 29284 28625
## nu 12.58 2.27 9.12 17.90 1.00 29917 27750
##
## Draws were sampled using sampling(NUTS). For each parameter, Bulk_ESS
## and Tail_ESS are effective sample size measures, and Rhat is the potential
## scale reduction factor on split chains (at convergence, Rhat = 1).
Trace-Plot
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Trace-Plot
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Trace-Plot
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Trace-Plot
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Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
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Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Posterior-Plot
Posterior-Plot
Posterior-Plot
Posterior-Plot
Posterior-Plot
Posterior-Plot
Posterior-Plot
## Family: student
## Links: mu = identity; sigma = identity; nu = identity
## Formula: trust ~ 1 + (1 | nuts2) + stfdemc + stfgovc + outcomec + stfgovc:stfdemc + stfgovc:outcomec + ageac + gndr + class5 + eduyrsc + hincfel2 + hincsrca2 + socialist + votgov + ppltrstc + gincdifc + freehmsc + ipeqoptc + impfreec + gdpngm + uergm + yempgm + hhincgm + neggm + gincdifgm + impfreegm + ipeqoptgm
## Data: cee04 (Number of observations: 4649)
## Draws: 3 chains, each with iter = 44000; warmup = 4000; thin = 4;
## total post-warmup draws = 30000
##
## Group-Level Effects:
## ~nuts2 (Number of levels: 26)
## Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
## sd(Intercept) 0.47 0.09 0.32 0.69 1.00 24775 27950
##
## Population-Level Effects:
## Estimate Est.Error l-95% CI u-95% CI Rhat
## Intercept 3.21 0.15 2.93 3.50 1.00
## stfdemc 0.87 0.05 0.76 0.97 1.00
## stfgovc 1.24 0.06 1.12 1.36 1.00
## outcomec 0.36 0.06 0.25 0.47 1.00
## ageac 0.10 0.11 -0.12 0.33 1.00
## gndrfemale 0.15 0.04 0.07 0.24 1.00
## class5LowerMgradeserviceclass -0.01 0.08 -0.17 0.15 1.00
## class5Smallbusinessowners -0.18 0.10 -0.37 0.01 1.00
## class5Skilledworkers -0.02 0.08 -0.17 0.14 1.00
## class5Unskilledworkers -0.05 0.09 -0.22 0.13 1.00
## eduyrsc 0.03 0.05 -0.07 0.14 1.00
## hincfel2good 0.08 0.05 -0.01 0.17 1.00
## hincsrca2stateaid 0.12 0.06 0.00 0.24 1.00
## socialistoldsocialist -0.11 0.10 -0.32 0.09 1.00
## socialistsocialist -0.03 0.07 -0.18 0.11 1.00
## votgovvoted -0.01 0.05 -0.11 0.09 1.00
## ppltrstc 0.50 0.05 0.41 0.59 1.00
## gincdifc 0.02 0.04 -0.07 0.10 1.00
## freehmsc -0.03 0.04 -0.12 0.05 1.00
## ipeqoptc 0.14 0.04 0.05 0.22 1.00
## impfreec -0.05 0.04 -0.14 0.03 1.00
## gdpngm 0.12 0.25 -0.37 0.62 1.00
## uergm 0.09 0.48 -0.86 1.04 1.00
## yempgm -0.10 0.51 -1.12 0.91 1.00
## hhincgm 0.04 0.42 -0.80 0.87 1.00
## neggm -0.49 0.38 -1.24 0.25 1.00
## gincdifgm 0.77 0.37 0.04 1.50 1.00
## impfreegm -0.16 0.35 -0.84 0.54 1.00
## ipeqoptgm -0.25 0.45 -1.13 0.65 1.00
## stfdemc:stfgovc 0.25 0.10 0.06 0.44 1.00
## stfgovc:outcomec -0.35 0.10 -0.53 -0.16 1.00
## Bulk_ESS Tail_ESS
## Intercept 28924 28499
## stfdemc 29279 29371
## stfgovc 28060 28640
## outcomec 29285 28336
## ageac 30262 28938
## gndrfemale 28221 28132
## class5LowerMgradeserviceclass 29668 29635
## class5Smallbusinessowners 29648 28587
## class5Skilledworkers 29631 29110
## class5Unskilledworkers 28693 28807
## eduyrsc 28100 30200
## hincfel2good 29443 28436
## hincsrca2stateaid 29904 29039
## socialistoldsocialist 29660 28445
## socialistsocialist 30220 28677
## votgovvoted 29704 29596
## ppltrstc 29596 28866
## gincdifc 29629 29149
## freehmsc 29962 29541
## ipeqoptc 29228 28119
## impfreec 29819 28854
## gdpngm 30106 30223
## uergm 29326 28631
## yempgm 28542 28744
## hhincgm 29026 29336
## neggm 30373 29109
## gincdifgm 29173 27596
## impfreegm 28566 28380
## ipeqoptgm 29927 29413
## stfdemc:stfgovc 29926 29269
## stfgovc:outcomec 29107 28613
##
## Family Specific Parameters:
## Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
## sigma 1.31 0.02 1.26 1.35 1.00 28939 28209
## nu 12.58 2.28 9.14 17.98 1.00 29380 29512
##
## Draws were sampled using sampling(NUTS). For each parameter, Bulk_ESS
## and Tail_ESS are effective sample size measures, and Rhat is the potential
## scale reduction factor on split chains (at convergence, Rhat = 1).
Trace-Plot
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Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Autokorrelations-Plot
Posterior-Plot
Posterior-Plot
Posterior-Plot
Posterior-Plot
Posterior-Plot
Posterior-Plot
Posterior-Plot
Copyright:
Benedikt Philipp Kleer, 2022 (Online-Appendix zur Promotion, eingereicht am 14. September 2022, Fachbereich 03, Justus-Liebig-Universität Gießen).