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An Institutional Approach to Trade Union Density. The Case of Legal Origins and Political Ideology


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Fig. 1

Interactions between legal origins and government ideology 
Source: Author’s own calculations.
Interactions between legal origins and government ideology Source: Author’s own calculations.

Two-way ANOVA

SourcePartial SSDegrees of freedomMSFProbability>F
model100619.206147187.0861739.860.0000
legalorigins57856.7897414464.197480.220.0000
governmentideology1768.763422884.3817124.900.0078
legalorigins # governmentideology13755.811981719.476499.540.0000
residual93577.3885519180.303253
Total194196.595533364.346332
Number of observations534
Root MSE13.4277
R20.5181

Number of observations in each group

GroupNumber of observations
Countries of English legal origin98
Countries of socialist legal origin94
Countries of German legal origin96
Countries of French legal origin150
Countries of Scandinavian legal origin96
Countries with leftist ideology190
Countries of rightist ideology253
Countries of centrist ideology91

Description and sources of variables

VariableMeanStandard deviationMinMaxNumber of observations
trade_densityoverall31.2623919.087865.65433883.13813N= 534
between18.63967.90169574.92628n= 28
within5.14802716.7742560.6157T= 19.0714
wageoverall35584.3911602.42857160196N= 550
between11327.8915155.254698.5n= 28
within3048.2426301.7445284.74T-bar= 19.6429
female_procoverall44.553672.7506436.0671950.85168N= 560
between2.50881839.5966149.14098n= 28
within1.21892839.3256848.80525T= 20
gdp_growthoverall2.4145832.911034-14.724411.7986N= 558
between1.110480.59495184.616528n= 28
within2.69923-16.718899.791065T-bar= 19.9286
pop_growoverall0.51350720.6639038-1.78542.89096N= 560
between0.5701864-0.5333312.099166n= 28
within0.3559581-1.1497762.694526T= 20
proc_industryoverall17.746595.4801319.16439432.67896N= 522
between5.12475911.2164129.72359n= 28
within1.90954513.2447723.42335T-bar= 18.6429
proc_servicesoverall77.007438.02313853.3140889.66506N= 502
between7.58293661.363586.41893n= 27
within2.95617467.5666883.43613T-bar= 18.6429
unemploverall7.7894644.1460861.827.2N= 560
between3.3692213.6416.74n= 28
within2.494837-.550536222.24946T= 20
infloverall2.9074873.920998-4.47993828.77661N= 560
between1.9101320.0809998.574297n= 28
within2.823246-5.88912525.1058T= 20

Results of estimations

Independent variablesIIIIIIIVVVIVII
scanlo58.510

Significant at 5% level.

(25.68)
56.052

Significant at 5% level.

(27.85)
-56.376

Significant at 5% level.

(28.96)
66.430

Significant at 5% level.

(25.92)
63.743

Significant at 5% level.

(32.34)
-
gerlo4.011

Significant at 10% level.

(1.75)
3.348

Significant at 10% level.

(1.81)
16.761

Significant at 10% level.

(6.55)
-16.371

Significant at 10% level.

(6.43)
4.314

Significant at 10% level.

(2.29)
-51.337

Significant at 10% level.

(-44.87)
frlo15.182

Significant at 10% level.

(6.76)
11.815

Significant at 10% level.

(4.83)
13.255

Significant at 10% level.

(5.43)
11.465

Significant at 10% level.

(3.85)
-12.893

Significant at 10% level.

(5.25)
-43.735

Significant at 10% level.

(-53.16)
englo15.552

Significant at 10% level.

(5.78)
13.001

Significant at 10% level.

(5.88)
31.241

Significant at 10% level.

(10.58)
12.802

Significant at 10% level.

(4.81)
26.334

Significant at 10% level.

(8.69)
--43.968

Significant at 10% level.

(-29.13)
soclo-------
-------
lag.centr_ideology-------
-------
lag.left_ideology1.7690.688

Significant at 10% level.

0.610

Significant at 10% level.

0.645

Significant at 10% level.

0.778

Significant at 10% level.

1.141

Significant at 10% level.

0 .352
(1.25)(2.09)(1.68)(1.87)(2.33)(2.25)(1.22)
lag.right_ideology1.9580.4200.2730.3960.2680.8070 .276
(1.38)(1.42)(0.91)(1.11)(0.94)(1.68)(1.12)
wage5.9132.5611.8282.083-1.3665.9620.684
X10(-4)

Significant at 10% level.

X10(-4)

Significant at 10% level.

X10(-4)

Significant at 10% level.

X10(-4)

Significant at 10% level.

X10(-4)

Significant at 10% level.

X10(-4)

Significant at 10% level.

X10(-4)

Significant at 10% level.

(7.20)(5.25)(2.06)(2.98)(-2.51)(9.01)(1.61)
female_proc-0. 862

Significant at 10% level.

-0.750

Significant at 10% level.

-0.613

Significant at 10% level.

-0.918

Significant at 10% level.

-0.345

Significant at 10% level.

-0.344

Significant at 10% level.

-0.799

Significant at 10% level.

(-4. 41)(-4.98)(-4.44)(-6.14)(-1.73)(-3.40)(-6.05)
gdp_growth0.101-0.022-0.041-0.019-0.031-0.0610.004
(0.06)(-0.62)(-0.87)(-0.47)(-0.97)(-0.96)(0.29)
pop_growth-1. 183-0.0500.221-0.053-0.0310.1400.059
(-1.14)(-0.27)(1.29)(-0.14)(-0.21)(0.60)(0.54)
proc_industry1.779

Significant at 10% level.

0.954

Significant at 10% level.

1.418

Significant at 10% level.

0.991

Significant at 10% level.

0.443

Significant at 10% level.

2.093

Significant at 10% level.

1.150

Significant at 10% level.

(12.43)(6.20)(7.53)(6.75)(2.87)(14.06)(6.07)
proc_services-0.036-0.264

Significant at 10% level.

-0.443

Significant at 10% level.

-0.170

Significant at 10% level.

-0.819

Significant at 10% level.

-0.472

Significant at 10% level.

0. 321

Significant at 10% level.

(-0.29)(-2.94)(-7.03)(-1.78)(-6.97)(-8.01)(2.65)
unempl0. 7670.152

Significant at 10% level.

0.224

Significant at 10% level.

0.141

Significant at 10% level.

0.301

Significant at 10% level.

0.153

Significant at 10% level.

0. 144

Significant at 10% level.

(3.73)(2.75)(3.65)(2.13)(4.24)(2.28)(4.69)
infl0.714

Significant at 10% level.

0.096

Significant at 10% level.

0.189

Significant at 10% level.

0.106

Significant at 10% level.

0.081

Significant at 10% level.

0.243

Significant at 10% level.

-0.080

Significant at 10% level.

(3.35)(1.85)(3.06)(1.94)(1.65)(3.13)(-2.07)
constant-42.700

Significant at 10% level.

33.947

Significant at 10% level.

44.189

Significant at 10% level.

80.021

Significant at 10% level.

-58.739

Significant at 10% level.

-(5.43)(3.40)(4.98)(6.91)-(5.76)
number of observations/ number of groups445/-445/27327/23394/23303/19369/22342/21
R^20.93850.81420.79720.81960.87960.96600.8545
F-statistic=WaldX142$\begin{array}{} X^{2}_{14} \end{array}$=WaldX132$\begin{array}{} X^{2}_{13} \end{array}$=WaldX132$\begin{array}{} X^{2}_{13} \end{array}$=WaldX132$\begin{array}{} X^{2}_{13} \end{array}$=WaldX132$\begin{array}{} X^{2}_{13} \end{array}$=WaldX132$\begin{array}{} X^{2}_{13} \end{array}$=
469.6722882.29396.053290.845297.69174291.434081.54

Descriptive statistics of discrete variables

OverallBetween
VariableValueFrequencyPercentageFrequencyPercentage
socio044078.572278.57
112021.43621.43
scanlo047985.692485.71
18014.31414.29
frlo040071.432071.43
116028.57828.57
englo046082.142382.14
110017.86517.86
gerio046082.142382.14
110017.86517.86
centr_ideology046482.86
19617.14
left_ideology036164.46
119935.54
right_ideology029552.68
126547.32

Mean values of the trade union density in groups determined by the legal origins and the ideology of the head of the government (for the period 1995–2014).

Head of government
Legal originsCentreLeftRight
English25.56326.27227.008
French29.8522.18130.380
German19.08625.70120.092
Scandinavian34.99866.18160.281
Socialist23.72926.34523.463