The name is absent



Table 5

Probit estimates of marginal effects evaluated at the means of explanatory variables

EU

AT

DE

DK

ES

FI

FR

GR

IE

IT

LU

NL

PT

SE

UK

employ

-0.020

-0.302 **

0.006

0.113

-0.153 **

0.115 **

0.012

-0.013

0.013

0.001

0.321 **

0.163

0.037

0.131 *

-0.112

0.033

0.119

0.061

0.115

0.063

0.055

0.094

0.032

0.077

0.139

0.126

0.100

0.055

0.089

0.110

employ x isb

0.035

0.105

-0.045

-0.118

0.133 **

-0.116

0.000

0.018

0.034

0.064

-0.350 **

-0.083

-0.021

-0.048

0.194 *

0.030

0.099

0.048

0.102

0.051

0.078

0.035

0.026

0.083

0.166

0.157

0.081

0.028

0.040

0.111

unemploy

0.137 ***

-0.210

0.294 ***

-0.044

0.200 **

0.033

0.100

-0.108

-0.024

-0.239 *

-0.513 **

-0.146

-0.015

-0.048

0.381

0.047

0.265

0.061

0.151

0.084

0.105

0.124

0.119

0.187

0.089

0.026

0.140

0.311

0.073

0.206

unemploy x isb

-0.047

0.182

-0.141 ***

0.068

-0.121 **

0.062

-0.029

0.078

0.034

0.444 ***

1.349 *

0.039

-0.075

0.074

-0.426 *

0.031

0.246

0.041

0.115

0.052

0.078

0.063

0.062

0.179

0.130

0.697

0.146

0.205

0.084

0.251

isb

0.000

0.048

0.066 ***

-0.010

-0.016

-0.052 ***

0.018

0.005

-0.034

-0.111

0.231 ***

0.030

-0.010

-0.012

-0.106 **

0.012

0.056

0.016

0.050

0.025

0.009

0.025

0.006

0.026

0.095

0.061

0.025

0.042

0.013

0.043

relinc

-0.009

-0.013

-0.010

0.000

-0.005

-0.005

-0.016

-0.006

-0.010

-0.029

0.012

-0.008

-0.016

-0.002

-0.002

0.006

0.014

0.014

0.032

0.029

0.011

0.019

0.013

0.020

0.026

0.036

0.018

0.010

0.008

0.012

ed0

0.128 ***

0.181 *

t

s(1)

0.100

0.040

0.094

0.005

0.220 ***

0.372 **

0.174

-0.036

0.152

f(10)

f(1)

0.037

0.090

0.084

0.139

0.062

0.049

0.086

0.161

0.180

0.136

0.097

ed1

0.098 ***

0.033

0.114 ***

0.136 ***

0.028

0.005

0.104 **

0.035 *

0.066 **

0.171 ***

0.100 *

0.061 *

-0.017

0.060 ***

0.117 ***

0.015

0.036

0.037

0.036

0.053

0.018

0.044

0.020

0.032

0.054

0.053

0.033

0.038

0.020

0.025

ed3

-0.124 ***

-0.085 **

-0.111 ***

-0.165 ***

0.036

-0.113 ***

-0.113 ***

-0.146 ***

-0.107 ***

-0.039

-0.088

-0.170 ***

-0.051

-0.063 ***

-0.221 ***

0.015

0.038

0.019

0.037

0.076

0.034

0.025

0.034

0.032

0.119

0.066

0.027

0.047

0.015

0.031

media

-0.017 ***

0.003

-0.026 *

-0.025 *

0.030

0.006

-0.032 **

-0.018

-0.006

0.001

-0.007

0.007

-0.013

-0.002

-0.038 ***

0.006

0.011

0.014

0.013

0.022

0.007

0.016

0.013

0.014

0.029

0.015

0.011

0.033

0.002

0.009

friend1

-0.119 ***

-0.146 ***

-0.130 ***

-0.110 ***

-0.182 ***

-0.125 ***

-0.123 ***

-0.080 ***

-0.019

-0.154 ***

0.000

-0.077 ***

-0.142 **

-0.002

-0.078 ***

0.011

0.034

0.018

0.023

0.041

0.014

0.028

0.024

0.028

0.047

0.063

0.026

0.066

0.024

0.027

friend2

-0.199 ***

-0.324 ***

-0.173 ***

-0.272 ***

-0.315 ***

-0.301 ***

-0.227 ***

-0.148 ***

-0.130 ***

-0.256 **

0.005

-0.085 **

-0.320 ***

-0.030 *

-0.107 ***

0.018

0.037

0.037

0.058

0.050

0.041

0.038

0.049

0.020

0.055

0.064

0.036

0.041

0.018

0.033

racist

0.129 ***

0.000

0.124 ***

0.120 ***

0.024

0.027 **

0.120 ***

0.018

0.102 ***

0.114 **

-0.001

0.173 ***

0.115 ***

0.107 ***

0.212 ***

0.012

0.042

0.023

0.018

0.036

0.013

0.035

0.025

0.029

0.054

0.038

0.030

0.028

0.013

0.034

citizen

0.071 **

-0.045

0.127 ***

-0.012

0.317 **

0.135 *

-0.090

0.220 ***

0.149 ***

f(1)

0.070

-0.031

0.071

0.000

0.118

0.033

0.115

0.025

0.124

0.106

0.077

0.102

0.080

0.039

0.070

0.102

0.234

0.035

0.124

ethnic

0.018

0.099 *

-0.092

0.086

-0.189 **

-0.263 **

0.081

-0.085 ***

-0.104 *

0.513 *

-0.168 *

0.061

0.010

0.020

0.058

0.033

0.052

0.053

0.113

0.082

0.111

0.090

0.026

0.056

0.208

0.093

0.068

0.092

0.071

0.079

fparent

-0.051 **

0.008

0.016

0.014

0.016

0.077

-0.130 ***

-0.080 **

0.096

-0.101

-0.090

-0.079 *

-0.106

0.028

-0.063

0.022

0.026

0.038

0.057

0.083

0.057

0.046

0.036

0.075

0.100

0.061

0.045

0.121

0.036

0.048

female

-0.009

-0.002

-0.051 **

-0.063 *

0.031

-0.092 ***

0.036

-0.049 **

-0.040 *

0.031

0.021

-0.047

0.066

-0.020

0.015

0.013

0.030

0.023

0.034

0.036

0.027

0.042

0.024

0.022

0.046

0.046

0.030

0.043

0.015

0.018

age

0.001 ***

0.005 ***

0.002 **

0.003 ***

0.000

0.007 ***

0.003 ***

0.001 **

0.000

0.000

0.000

0.000

0.002

0.000

0.000

0.000

0.001

0.000

0.000

0.001

0.000

0.000

0.000

0.000

0.001

0.001

0.000

0.002

0.000

0.000

log pseudolikelihood

-10616.928

-677.381

-1185.497

-751.032

-473.164

-1011.149

-661.593

-535.131

-819.780

-270.533

-404.639

-1154.325

-508.906

-594.505

-991.701

McFadden's (1974) LRI

0.110

0.104

0.081

0.084

0.069

0.117

0.118

0.131

0.052

0.098

0.058

0.055

0.089

0.089

0.136

R2p

0.279

0.211

0.092

0.198

0.228

0.280

0.202

0.062

0.023

0.096

0.175

0.068

0.083

0.009

0.272

Sum of PCP

1.341

1.304

1.177

1.264

1.257

1.334

1.295

1.158

1.061

1.171

1.180

1.136

1.170

1.032

1.316

obs.

17640.000______

1123.000______

1979.000______

1197.000______

734.000______

1663.000______

1112.000______

1280.000______

1419.000______

480.000______

620.000

1820.000______

837.000______

1697.000______

1666.000

t All non-missing observations are 0, and the corresponding variable is dropped in estimation.

s(n) n observations predict success perfectly, and the corresponding variable and the n observations are dropped in estimation.
f(n) n observations predict failure perfectly, and the corresponding variable and the n observations are dropped in estimation.

* 10%   ** 5%   *** 1%

The three goodness-of-fit measures are described in Verbeek


(2004: 194-197).


Sum of PCP is the sum of the proportions of correct predictions for anti


1 and anti = 0.


Sampling weights provided by ESS are applied in maximum likelihood estimation.

For EU, a further weight adjustment is made to reflect the population size of each country.

Estimated standard errors are based on the assumption that observations are not necessarily independent within each region of a country, but are independent across regions of the country.

For EU, 13 country dummies are included with UK being the reference.



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