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Table 1 Descriptive averages of treated and untreated as measured in 1990, unless stated otherwise

From: Education and retirement: does University education at mid-age extend working life?

 

Males

Females

AE

No AE

p-valuea)

Matched comparisons

p-valuea)

AE

No AE

p-valuea)

Matched comparisons

p-valuea)

Age in 1992 b)

46.56

47.85

.000

46.65

.495

46.07

47.17

.000

46.07

.982

Born 1937

.022

.046

.000

.028

.340

.013

.034

.000

.014

.581

Born 1950

.105

.071

.000

.107

.904

.139

.099

.000

.142

.770

No. of children at home

1.411

1.286

.000

1.437

.551

1.488

1.290

.000

1.488

.981

Married

.684

.742

.000

.676

.632

.716

.698

.033

.708

.520

Divorced

.120

.114

.510

.111

.485

.169

.161

.272

.165

.734

Humanities track

.013

.013

.980

.012

.737

.033

.097

.000

.032

.887

Business track

.046

.089

.000

.046

.999

.079

.383

.000

.086

.289

Engineering track

.265

.437

.000

.252

.420

.022

.045

.000

.020

.595

Professional track

.158

.366

.000

.169

.421

.369

.210

.000

.352

.162

Inland of Norrland c)

.069

.046

.000

.068

.883

.076

.032

.000

.077

.887

Stockholm county c)

.131

.227

.000

.126

.697

.134

.277

.000

.137

.711

Foreign born

.019

.018

.668

.017

.576

.013

.019

.010

.012

.909

Regional employment

.822

.829

.000

.822

.975

.825

.832

.000

.825

.399

Farming and mining

.027

.020

.071

.026

.908

.016

.014

.370

.013

.240

Construction

.079

.130

.000

.073

.527

.012

.023

.000

.015

.326

Manufacturing

.271

.299

.023

.267

.801

.076

.144

.000

.071

.467

Finance, insurance

.113

.157

.000

.114

.953

.081

.204

.000

.084

.712

Public sector

.228

.105

.000

.242

.380

.579

.289

.000

.589

.441

Earnings 1990

227.6

289.1

.000

227.8

.954

158.8

182.9

.000

156.5

.219

Earnings 1982

196.9

236.9

.000

197.6

.849

106.0

124.9

.305

106.4

.832

Earnings change 1990-1988

−3.6

3.4

.003

−3.6

.317

14.1

18.6

.000

13.1

.525

Highest earnings rank 1982-1990

-

-

 

-

 

.503

.635

.000

.504

.965

Unemp. insurance (UI) > 0

.046

.016

.000

.038

.267

.072

.040

.000

.070

.767

average amount if > 0

31.0

35.0

.294

31.5

.441

22.4

23.6

.447

24.1

.725

ALMP benefits > 0

.058

.009

.000

.052

.463

.045

.023

.000

.047

.671

average amount if > 0

18.6

22.2

.274

24.3

.557

28.6

26.2

.330

28.5

.782

Parental leave benefits > 0

.029

.014

.000

.026

.650

.024

.018

.019

.021

.440

average amount if > 0

11.9

11.4

.852

15.7

.658

23.4

29.5

.147

20.3

.315

Sick-leave benefits > 0

.655

.584

.000

.664

.638

.773

.716

.000

.770

.763

average amount if > 0

17.3

9.8

.000

16.6

.787

9.7

9.0

.058

10.0

.745

Social welfare benefits > 0

.042

.017

.000

.033

.239

.038

.021

.000

.038

.999

average amount if > 0

9.6

6.1

.009

8.9

.401

5.3

5.3

.930

6.0

.635

At some point registered in HE

1.000

.018

.000

.028

.000

1.000

.041

.000

.052

.000

Completed HE on average

.773

.009

.000

.020

.000

1.165

.025

.000

.036

.000

Fraction completed less than 1 year

.503

.011

.000

.013

.000

.391

.023

.000

.029

.000

Fraction completed 1–2 years

.233

.005

.000

.010

.000

.146

.012

.000

.015

.000

Fraction completed 2–3 years

.119

.001

.000

.003

.000

.307

.002

.000

.004

.000

Fraction completed 3 years or more

.145

.001

.000

.002

.000

.156

.004

.000

.004

.000

N

1,445

113,183

 

1,445

 

3,113

42,019

 

3,113

 
  1. Amounts given in thousands of SEK (2004 prices), € 100 was app. SEK 970.
  2. a)t- test for equality between average of treated and untreated matched comparisons.
  3. b) Balancing tests also include age dummies (14 categories), dummies for number of children (six categories), age of children (six categories) and annual earnings each year 1982–1990.
  4. c) The inland of Norrland is a sparsely populated area in the north of Sweden with permanently higher than average unemployment rates. Stockholm County hosts 20 percent of the population, and the overall employment level is higher than in any other region of Sweden.