Who earns minimum wages in Europe - European Trade Union ...

Explanatory variables
Temporary work contract
Part time (< 35 hours)
Job change during last year
Work experience 2 (years = [5;10[)
Work experience 3 (years = [10;20[)
Work experience 4 (years >=20)
White collar II occupation1 Blue collar occupation 1
Age category 1 (age = [15;25[)
Age category 2 (age = [25;30[)
Age category 3 (age = [30;35[)
Age category 5 (age = [45;60[)
Age category 6 (age >= 60)
Female
Low education (ISCED = [0;2])
High education (ISCED = [5;6])
Firm size 1 (< 5 workers)
Firm size 2 (>= 5 and < 10 workers)
Firm size 4 (>= 20 workers)
NACE1 = A+B (Agriculture, hunting and
forestry; Fishing)
NACE1 = F (Construction)
NACE1 = G (Wholesale and retail trade)
NACE1 = H (Hotels and restaurants)
NACE1 = I (Transport, storage and
communication)
NACE1 = J (Financial intermediation)
NACE1 = K (Real estate, renting and
business activities)
NACE1 = L (Public administration and
defence, compulsory social security)
NACE1 = M (Education)
NACE1 = N (Health and social work)
NACE1 = = O + P + Q (Other
community, social and personal service
activities; Private households; Extraterritorial
organizations)
Observations
Pseudo-R-squared
Model significance
François Rycx and Stephan Kampelmann
Table 7 Coefficients from logistic regression — countries with clean-cut systems
(dependent variable: individual earns applicable minimum wage)
46 Report 124
Bulgaria
0.74***
-0.96
1.03***
-0.11
-0.02
-0.33
0.48
0.79**
-0.55
0.33
-0.14
0.04
0.02
0.50**
0.57***
-1.02**
0.58*
0.31
-0.62***
-0.18
0.31
0.10
0.14
-0.43
-0.48
0.52
0.70**
-1.09
1.24***
1.27***
3517
0.14
0.00
Hungary
0.76***
-0.42*
0.58***
n.a.
n.a.
n.a.
0.90***
1.43***
0.95***
0.29*
0.43***
0.09
-0.17
0.51***
0.55***
-1.41***
0.67***
0.13
-0.43***
0.80***
0.62***
0.48***
0.62***
0.00
-1.24
0.81***
0.02
-0.22
-0.19
0.23
6313
0.17
0.00
Ireland
0.26
0.37**
-0.26
-0.92***
-1.25***
-1.35***
0.42*
0.54**
0.96**
0.52
0.01
-0.10
0.03
0.53***
0.46**
-0.74***
0.78***
0.04
-0.48**
0.47
-0.40
0.07
0.95***
-0.23
-2.43**
-0.28
-0.75**
-0.37
-0.62*
0.31
2964
0.21
0.00
Poland
0.76***
-0.12
0.58***
-0.01
-0.16
-0.40*
0.86***
1.09***
0.26
0.04
-0.24
0.11
0.36
0.62***
0.42***
-0.81***
-0.08
0.09
-0.58***
0.71***
0.23*
0.60***
0.84***
0.21
0.15
0.63***
0.21
-0.39
0.02
0.22
10184
0.14
0.00
Romania
0.71**
0.04
0.80***
0.86**
0.46
0.03
1.59***
1.71***
0.28
0.14
0.04
-0.11
0.15
0.75***
0.70***
-0.78*
0.91***
0.53**
-0.33**
1.24***
-0.01
-0.04
0.97***
-0.47*
-1.27
0.25
-0.10
0.57*
0.68**
-0.77
5052
0.16
0.00
Spain
0.63***
-0.65***
0.52***
-0.96***
-1.17***
-1.29***
0.39*
0.73***
0.58**
0.30
0.09
0.11
0.89***
0.83***
0.33**
-0.08
0.89***
0.08
0.06
0.83***
-0.36
0.38*
0.84***
0.78***
0.04
0.31
-0.21
0.28
0.19
1.01***
10505
0.15
0.00
UK
n.a.
0.52***
n.a.
n.a.
n.a.
n.a.
0.89***
1.25***
0.60***
0.48**
0.33*
0.15
0.67***
0.53***
0.44***
-0.46***
0.54***
0.30*
-0.22
0.48
-0.23
0.68***
0.99***
-0.09
-1.18***
0.19
-0.58**
0.71***
0.30
0.67***
Source: EU-SILC 2007; significance levels: * p