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Table 9 Selected 2014 and 2018 wage percentiles and wage percentile ratios for VSE, SOEP, and SIAB

From: A tale of two data sets: comparing German administrative and survey data using wage inequality as an example

Data set

VSE

SOEP

SIAB

Wage measure

GMW

GAW

GMW

GAW

GMW

GAW

Percentiles

Year 2014

P10

396

4800

450

5400

395

2787

P50

2269

29,697

2301

29,600

2355

24,636

P90

4707

62,939

4668

61,800

5109

58,597

Percentile ratios

Year 2014

P90/P10

11.89

13.11

10.37

11.44

12.95

21.02

P50/P10

5.73

6.19

5.11

5.48

5.97

8.84

P90/P50

2.07

2.12

2.03

2.09

2.17

2.38

Percentiles

Year 2018

P10

438

5337

720

7800

448

3614

P50

2500

32,714

2600

33,000

2621

27,766

P90

5151

68,508

5000

66,097

5633

64,686

Percentile ratios

Year 2018

P90/P10

11.76

12.84

6.94

8.47

12.57

17.90

P50/P10

5.71

6.13

3.61

4.23

5.85

7.68

P90/P50

2.06

2.09

1.92

2.00

2.15

2.33

  1. VSE Structure of Earnings Survey. GMW: gross nominal monthly wage in April. GAW: gross nominal annual wage. Total without apprentices. Economic sections A-S of the Classification of economic activities. Thus, not considered is employment in sectors T (Private households with employed persons) and U (Extraterritorial organizations and bodies). Source: Statistisches Bundesamt (2016, 2020)
  2. SOEP Socio-Economic Panel (SOEP-Core.v37.EU, own calculations). GMW: gross nominal monthly wage (SOEP-Pure 1). GAW: gross nominal annual wage (SOEP-Pure 2)
  3. SIAB Sample of Integrated Labour Market Biographies (SIAB 7519, own calculations). GMW: gross nominal wage (SIAB-Comparable 1); GAW: gross nominal annual wage (SIAB-Comparable 2)
  4. All wages in euro