Nullmodell (2-Level)

Modellübersicht

##  Family: cumulative 
##   Links: mu = logit; disc = identity 
## Formula: stfdemO ~ 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)     0.35      0.06     0.25     0.49 1.00    21815    26067
## 
## Population-Level Effects: 
##               Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
## Intercept[1]     -2.33      0.09    -2.50    -2.16 1.00    19471    24794
## Intercept[2]     -1.74      0.08    -1.91    -1.59 1.00    19098    25041
## Intercept[3]     -1.06      0.08    -1.22    -0.91 1.00    18856    25066
## Intercept[4]     -0.38      0.08    -0.53    -0.23 1.00    18926    24777
## Intercept[5]      0.23      0.08     0.08     0.38 1.00    19116    24332
## Intercept[6]      1.13      0.08     0.97     1.28 1.00    19554    24082
## Intercept[7]      1.75      0.08     1.59     1.91 1.00    19744    24908
## Intercept[8]      2.64      0.09     2.46     2.82 1.00    21077    25294
## Intercept[9]      3.68      0.12     3.46     3.91 1.00    24423    28252
## Intercept[10]     4.87      0.18     4.53     5.24 1.00    26305    28850
## 
## Family Specific Parameters: 
##      Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
## disc     1.00      0.00     1.00     1.00   NA       NA       NA
## 
## 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).

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Posterior-Verteilung

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Model 1

Modellübersicht

##  Family: cumulative 
##   Links: mu = logit; disc = identity 
## Formula: stfdemO ~ 1 + (1 | nuts2) + trustc + stfgovc + outcomec + stfgovc:trustc + 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      0.08     0.34     0.64 1.00    18336    25620
## 
## Population-Level Effects: 
##                  Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
## Intercept[1]        -3.25      0.11    -3.47    -3.03 1.00    18975    23298
## Intercept[2]        -2.47      0.11    -2.68    -2.26 1.00    18163    21625
## Intercept[3]        -1.52      0.10    -1.72    -1.32 1.00    17899    22598
## Intercept[4]        -0.56      0.10    -0.76    -0.37 1.00    17709    22912
## Intercept[5]         0.30      0.10     0.10     0.49 1.00    17837    21911
## Intercept[6]         1.53      0.10     1.32     1.73 1.00    18090    21891
## Intercept[7]         2.33      0.11     2.12     2.54 1.00    18928    22608
## Intercept[8]         3.40      0.12     3.18     3.63 1.00    20107    23832
## Intercept[9]         4.58      0.14     4.30     4.85 1.00    22420    24756
## Intercept[10]        5.84      0.20     5.46     6.24 1.00    25698    26974
## trustc               1.11      0.07     0.98     1.24 1.00    30380    29803
## stfgovc              1.50      0.08     1.34     1.66 1.00    30083    29555
## outcomec             1.13      0.07     0.99     1.27 1.00    29904    28768
## trustc:stfgovc      -0.35      0.12    -0.58    -0.12 1.00    29515    29534
## stfgovc:outcomec    -0.12      0.12    -0.35     0.11 1.00    29433    28892
## 
## Family Specific Parameters: 
##      Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
## disc     1.00      0.00     1.00     1.00   NA       NA       NA
## 
## 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).

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Posterior-Verteilung

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Model 2

Modellübersicht

##  Family: cumulative 
##   Links: mu = logit; disc = identity 
## Formula: stfdemO ~ 1 + (1 | nuts2) + trustc + stfgovc + outcomec + stfgovc:trustc + 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)     0.49      0.08     0.36     0.66 1.00    19224    24352
## 
## Population-Level Effects: 
##                               Estimate Est.Error l-95% CI u-95% CI Rhat
## Intercept[1]                     -3.38      0.18    -3.73    -3.03 1.00
## Intercept[2]                     -2.59      0.17    -2.93    -2.25 1.00
## Intercept[3]                     -1.64      0.17    -1.97    -1.31 1.00
## Intercept[4]                     -0.67      0.17    -1.00    -0.34 1.00
## Intercept[5]                      0.19      0.17    -0.14     0.52 1.00
## Intercept[6]                      1.43      0.17     1.10     1.77 1.00
## Intercept[7]                      2.24      0.17     1.91     2.59 1.00
## Intercept[8]                      3.32      0.18     2.97     3.67 1.00
## Intercept[9]                      4.49      0.19     4.12     4.88 1.00
## Intercept[10]                     5.76      0.24     5.30     6.23 1.00
## trustc                            1.11      0.07     0.97     1.24 1.00
## stfgovc                           1.54      0.08     1.38     1.70 1.00
## outcomec                          1.07      0.07     0.92     1.21 1.00
## ageac                             0.02      0.14    -0.26     0.29 1.00
## gndrfemale                       -0.09      0.05    -0.19     0.01 1.00
## class5LowerMgradeserviceclass     0.11      0.10    -0.08     0.31 1.00
## class5Smallbusinessowners         0.09      0.12    -0.14     0.32 1.00
## class5Skilledworkers              0.05      0.10    -0.14     0.25 1.00
## class5Unskilledworkers           -0.01      0.11    -0.22     0.21 1.00
## eduyrsc                           0.08      0.07    -0.06     0.21 1.00
## hincfel2good                      0.17      0.06     0.06     0.28 1.00
## hincsrca2stateaid                -0.09      0.08    -0.24     0.06 1.00
## socialistoldsocialist            -0.30      0.13    -0.55    -0.04 1.00
## socialistsocialist               -0.05      0.09    -0.23     0.13 1.00
## votgovvoted                      -0.05      0.06    -0.17     0.07 1.00
## trustc:stfgovc                   -0.33      0.12    -0.56    -0.09 1.00
## stfgovc:outcomec                 -0.13      0.12    -0.36     0.10 1.00
##                               Bulk_ESS Tail_ESS
## Intercept[1]                     23572    26401
## Intercept[2]                     23240    27122
## Intercept[3]                     23081    26293
## Intercept[4]                     22717    26612
## Intercept[5]                     22992    26372
## Intercept[6]                     23260    27060
## Intercept[7]                     23275    27528
## Intercept[8]                     23447    27881
## Intercept[9]                     24509    28650
## Intercept[10]                    26383    28024
## trustc                           30325    27461
## stfgovc                          29912    29409
## outcomec                         30444    29230
## ageac                            27915    29177
## gndrfemale                       29099    28849
## class5LowerMgradeserviceclass    28063    28884
## class5Smallbusinessowners        27948    29087
## class5Skilledworkers             27046    28227
## class5Unskilledworkers           27405    28901
## eduyrsc                          28561    29032
## hincfel2good                     30046    28699
## hincsrca2stateaid                28466    29294
## socialistoldsocialist            27588    28840
## socialistsocialist               28800    28787
## votgovvoted                      30777    30136
## trustc:stfgovc                   29569    28977
## stfgovc:outcomec                 30248    29076
## 
## Family Specific Parameters: 
##      Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
## disc     1.00      0.00     1.00     1.00   NA       NA       NA
## 
## 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).

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Model 3

Modellübersicht

##  Family: cumulative 
##   Links: mu = logit; disc = identity 
## Formula: stfdemO ~ 1 + (1 | nuts2) + trustc + stfgovc + outcomec + stfgovc:trustc + 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)     0.48      0.08     0.36     0.66 1.00    19180    26033
## 
## Population-Level Effects: 
##                               Estimate Est.Error l-95% CI u-95% CI Rhat
## Intercept[1]                     -3.38      0.18    -3.72    -3.03 1.00
## Intercept[2]                     -2.58      0.17    -2.92    -2.24 1.00
## Intercept[3]                     -1.61      0.17    -1.95    -1.28 1.00
## Intercept[4]                     -0.64      0.17    -0.97    -0.31 1.00
## Intercept[5]                      0.23      0.17    -0.10     0.56 1.00
## Intercept[6]                      1.48      0.17     1.15     1.81 1.00
## Intercept[7]                      2.30      0.17     1.97     2.64 1.00
## Intercept[8]                      3.39      0.18     3.04     3.74 1.00
## Intercept[9]                      4.56      0.20     4.18     4.95 1.00
## Intercept[10]                     5.83      0.24     5.36     6.30 1.00
## trustc                            1.03      0.07     0.89     1.16 1.00
## stfgovc                           1.53      0.08     1.37     1.70 1.00
## outcomec                          1.00      0.07     0.85     1.15 1.00
## ageac                             0.08      0.14    -0.21     0.36 1.00
## gndrfemale                       -0.09      0.05    -0.19     0.02 1.00
## class5LowerMgradeserviceclass     0.18      0.10    -0.01     0.38 1.00
## class5Smallbusinessowners         0.13      0.12    -0.10     0.37 1.00
## class5Skilledworkers              0.13      0.10    -0.06     0.32 1.00
## class5Unskilledworkers            0.07      0.11    -0.15     0.28 1.00
## eduyrsc                           0.00      0.07    -0.13     0.14 1.00
## hincfel2good                      0.13      0.06     0.01     0.24 1.00
## hincsrca2stateaid                -0.07      0.08    -0.22     0.09 1.00
## socialistoldsocialist            -0.32      0.13    -0.57    -0.06 1.00
## socialistsocialist               -0.05      0.09    -0.23     0.13 1.00
## votgovvoted                      -0.05      0.06    -0.17     0.07 1.00
## ppltrstc                          0.37      0.06     0.26     0.49 1.00
## gincdifc                         -0.27      0.06    -0.38    -0.16 1.00
## freehmsc                          0.09      0.06    -0.02     0.19 1.00
## ipeqoptc                          0.02      0.06    -0.09     0.13 1.00
## impfreec                          0.02      0.06    -0.09     0.13 1.00
## trustc:stfgovc                   -0.29      0.12    -0.52    -0.05 1.00
## stfgovc:outcomec                 -0.15      0.12    -0.38     0.09 1.00
##                               Bulk_ESS Tail_ESS
## Intercept[1]                     22192    26003
## Intercept[2]                     21905    25531
## Intercept[3]                     21960    25242
## Intercept[4]                     21853    25932
## Intercept[5]                     22024    25474
## Intercept[6]                     22104    25933
## Intercept[7]                     22277    26142
## Intercept[8]                     22850    26296
## Intercept[9]                     23329    27441
## Intercept[10]                    24783    28604
## trustc                           29792    28508
## stfgovc                          30378    28357
## outcomec                         29417    28248
## ageac                            28795    27288
## gndrfemale                       29962    29351
## class5LowerMgradeserviceclass    26725    28035
## class5Smallbusinessowners        27466    27552
## class5Skilledworkers             26583    29147
## class5Unskilledworkers           26301    28725
## eduyrsc                          28419    28451
## hincfel2good                     29242    29097
## hincsrca2stateaid                28936    29142
## socialistoldsocialist            28723    29124
## socialistsocialist               28561    29242
## votgovvoted                      29180    28854
## ppltrstc                         30145    29412
## gincdifc                         28297    30080
## freehmsc                         29856    29008
## ipeqoptc                         29841    29595
## impfreec                         29954    29581
## trustc:stfgovc                   28556    29530
## stfgovc:outcomec                 28984    28601
## 
## Family Specific Parameters: 
##      Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
## disc     1.00      0.00     1.00     1.00   NA       NA       NA
## 
## 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).

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Model 4

Modellübersicht

##  Family: cumulative 
##   Links: mu = logit; disc = identity 
## Formula: stfdemO ~ 1 + (1 | nuts2) + trustc + stfgovc + outcomec + stfgovc:trustc + 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)     0.22      0.06     0.12     0.34 1.00    23335    26713
## 
## Population-Level Effects: 
##                               Estimate Est.Error l-95% CI u-95% CI Rhat
## Intercept[1]                     -3.36      0.16    -3.66    -3.05 1.00
## Intercept[2]                     -2.56      0.15    -2.86    -2.26 1.00
## Intercept[3]                     -1.60      0.15    -1.88    -1.31 1.00
## Intercept[4]                     -0.62      0.15    -0.90    -0.33 1.00
## Intercept[5]                      0.25      0.15    -0.03     0.54 1.00
## Intercept[6]                      1.50      0.15     1.21     1.79 1.00
## Intercept[7]                      2.33      0.15     2.03     2.62 1.00
## Intercept[8]                      3.41      0.16     3.11     3.72 1.00
## Intercept[9]                      4.59      0.18     4.24     4.93 1.00
## Intercept[10]                     5.85      0.23     5.41     6.30 1.00
## trustc                            1.03      0.07     0.89     1.16 1.00
## stfgovc                           1.54      0.08     1.37     1.70 1.00
## outcomec                          1.00      0.07     0.86     1.15 1.00
## ageac                             0.05      0.14    -0.23     0.33 1.00
## gndrfemale                       -0.09      0.05    -0.19     0.02 1.00
## class5LowerMgradeserviceclass     0.18      0.10    -0.01     0.38 1.00
## class5Smallbusinessowners         0.13      0.12    -0.10     0.36 1.00
## class5Skilledworkers              0.13      0.10    -0.06     0.33 1.00
## class5Unskilledworkers            0.07      0.11    -0.15     0.29 1.00
## eduyrsc                           0.01      0.07    -0.13     0.14 1.00
## hincfel2good                      0.12      0.06     0.01     0.24 1.00
## hincsrca2stateaid                -0.06      0.08    -0.21     0.09 1.00
## socialistoldsocialist            -0.29      0.13    -0.55    -0.04 1.00
## socialistsocialist               -0.04      0.09    -0.22     0.14 1.00
## votgovvoted                      -0.05      0.06    -0.17     0.08 1.00
## ppltrstc                          0.38      0.06     0.26     0.49 1.00
## gincdifc                         -0.27      0.06    -0.38    -0.16 1.00
## freehmsc                          0.09      0.05    -0.02     0.19 1.00
## ipeqoptc                          0.02      0.06    -0.09     0.13 1.00
## impfreec                          0.02      0.06    -0.09     0.13 1.00
## rankgm                           -0.11      0.11    -0.34     0.11 1.00
## neggm                            -0.80      0.16    -1.12    -0.48 1.00
## gincdifgm                         0.07      0.16    -0.26     0.38 1.00
## impfreegm                         0.14      0.17    -0.18     0.47 1.00
## ipeqoptgm                        -0.20      0.21    -0.63     0.22 1.00
## trustc:stfgovc                   -0.28      0.12    -0.52    -0.05 1.00
## stfgovc:outcomec                 -0.15      0.12    -0.38     0.08 1.00
##                               Bulk_ESS Tail_ESS
## Intercept[1]                     28068    29192
## Intercept[2]                     28194    29355
## Intercept[3]                     28249    29191
## Intercept[4]                     28275    29266
## Intercept[5]                     28229    29631
## Intercept[6]                     28059    29555
## Intercept[7]                     28092    29479
## Intercept[8]                     27852    28978
## Intercept[9]                     28039    29130
## Intercept[10]                    28285    29363
## trustc                           30218    29352
## stfgovc                          29760    29229
## outcomec                         30353    29758
## ageac                            27101    28136
## gndrfemale                       28946    29132
## class5LowerMgradeserviceclass    27378    28688
## class5Smallbusinessowners        27044    28171
## class5Skilledworkers             26678    28401
## class5Unskilledworkers           26644    28385
## eduyrsc                          27533    28623
## hincfel2good                     29635    29637
## hincsrca2stateaid                28477    28819
## socialistoldsocialist            27658    29029
## socialistsocialist               28288    28842
## votgovvoted                      28653    28998
## ppltrstc                         28983    29111
## gincdifc                         30158    29717
## freehmsc                         30324    28952
## ipeqoptc                         30030    29799
## impfreec                         29277    28738
## rankgm                           26851    28237
## neggm                            26235    27917
## gincdifgm                        27225    27498
## impfreegm                        24969    27587
## ipeqoptgm                        25358    27802
## trustc:stfgovc                   29154    28406
## stfgovc:outcomec                 28453    28817
## 
## Family Specific Parameters: 
##      Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
## disc     1.00      0.00     1.00     1.00   NA       NA       NA
## 
## 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).

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Model 5

Modellübersicht

##  Family: cumulative 
##   Links: mu = logit; disc = identity 
## Formula: stfdemO ~ 1 + (1 | nuts2) + trustc + stfgovc + outcomec + stfgovc:trustc + 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)     0.25      0.06     0.14     0.39 1.00    23487    28020
## 
## Population-Level Effects: 
##                               Estimate Est.Error l-95% CI u-95% CI Rhat
## Intercept[1]                     -3.37      0.16    -3.68    -3.06 1.00
## Intercept[2]                     -2.57      0.15    -2.87    -2.27 1.00
## Intercept[3]                     -1.60      0.15    -1.90    -1.31 1.00
## Intercept[4]                     -0.63      0.15    -0.92    -0.34 1.00
## Intercept[5]                      0.24      0.15    -0.04     0.53 1.00
## Intercept[6]                      1.49      0.15     1.20     1.78 1.00
## Intercept[7]                      2.32      0.15     2.02     2.61 1.00
## Intercept[8]                      3.40      0.16     3.09     3.72 1.00
## Intercept[9]                      4.58      0.18     4.23     4.93 1.00
## Intercept[10]                     5.84      0.23     5.40     6.30 1.00
## trustc                            1.03      0.07     0.89     1.16 1.00
## stfgovc                           1.54      0.08     1.37     1.70 1.00
## outcomec                          1.00      0.07     0.85     1.15 1.00
## ageac                             0.06      0.14    -0.22     0.35 1.00
## gndrfemale                       -0.09      0.05    -0.19     0.02 1.00
## class5LowerMgradeserviceclass     0.18      0.10    -0.02     0.38 1.00
## class5Smallbusinessowners         0.13      0.12    -0.11     0.37 1.00
## class5Skilledworkers              0.13      0.10    -0.06     0.33 1.00
## class5Unskilledworkers            0.07      0.11    -0.15     0.28 1.00
## eduyrsc                           0.01      0.07    -0.13     0.14 1.00
## hincfel2good                      0.12      0.06     0.01     0.23 1.00
## hincsrca2stateaid                -0.06      0.08    -0.21     0.09 1.00
## socialistoldsocialist            -0.30      0.13    -0.55    -0.05 1.00
## socialistsocialist               -0.05      0.09    -0.23     0.13 1.00
## votgovvoted                      -0.05      0.06    -0.17     0.08 1.00
## ppltrstc                          0.38      0.06     0.26     0.49 1.00
## gincdifc                         -0.27      0.06    -0.38    -0.16 1.00
## freehmsc                          0.09      0.05    -0.02     0.19 1.00
## ipeqoptc                          0.02      0.06    -0.09     0.13 1.00
## impfreec                          0.02      0.06    -0.09     0.13 1.00
## gdpngm                            0.02      0.15    -0.27     0.31 1.00
## uergm                            -0.11      0.28    -0.66     0.44 1.00
## yempgm                            0.21      0.30    -0.37     0.80 1.00
## hhincgm                          -0.03      0.24    -0.52     0.44 1.00
## neggm                            -0.78      0.22    -1.22    -0.34 1.00
## gincdifgm                         0.04      0.22    -0.39     0.47 1.00
## impfreegm                         0.16      0.20    -0.25     0.56 1.00
## ipeqoptgm                        -0.22      0.27    -0.75     0.31 1.00
## trustc:stfgovc                   -0.29      0.12    -0.52    -0.05 1.00
## stfgovc:outcomec                 -0.15      0.12    -0.38     0.08 1.00
##                               Bulk_ESS Tail_ESS
## Intercept[1]                     29634    29170
## Intercept[2]                     29676    29178
## Intercept[3]                     29744    30093
## Intercept[4]                     29931    29080
## Intercept[5]                     29825    29145
## Intercept[6]                     30049    29032
## Intercept[7]                     30088    29621
## Intercept[8]                     30039    29307
## Intercept[9]                     29904    29803
## Intercept[10]                    29967    29392
## trustc                           30163    28895
## stfgovc                          30050    29267
## outcomec                         29714    29541
## ageac                            28900    28891
## gndrfemale                       29828    29251
## class5LowerMgradeserviceclass    29972    29458
## class5Smallbusinessowners        30024    29526
## class5Skilledworkers             29951    29657
## class5Unskilledworkers           30165    29843
## eduyrsc                          29798    29758
## hincfel2good                     29510    28835
## hincsrca2stateaid                28453    28472
## socialistoldsocialist            29596    29211
## socialistsocialist               29265    29019
## votgovvoted                      30009    29480
## ppltrstc                         29982    29291
## gincdifc                         28920    28440
## freehmsc                         28961    28933
## ipeqoptc                         29456    29693
## impfreec                         29605    29001
## gdpngm                           29654    28242
## uergm                            27555    28435
## yempgm                           28282    28240
## hhincgm                          28156    28519
## neggm                            28183    28719
## gincdifgm                        29280    28877
## impfreegm                        28587    27839
## ipeqoptgm                        27595    28491
## trustc:stfgovc                   29558    28684
## stfgovc:outcomec                 29935    29323
## 
## Family Specific Parameters: 
##      Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
## disc     1.00      0.00     1.00     1.00   NA       NA       NA
## 
## 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).

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Posterior-Verteilung

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Copyright: Creative Commons License
Benedikt Philipp Kleer, 2022 (Online-Appendix zur Promotion, eingereicht am 14. September 2022, Fachbereich 03, Justus-Liebig-Universität Gießen).