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Table 8 Regression sanction amounts

From: Linking information on unemployment benefit sanctions from different datasets about welfare receipt: proceedings and research potential

 

(1)

(2)

(3)

(4)

(5)

(6)

Sanction amount (in €)

Sanction amount in relation to total benefit claim (in %)

Theoretical benefit cuts based on implemented types of sanction (in %)

Female

− 16.243***

− 0.431

− 3.534***

− 0.985***

− 3.694***

− 0.424***

 

(0.598)

(0.318)

(0.099)

(0.056)

(0.117)

(0.051)

Below 25 years

52.061***

54.937***

9.354***

9.838***

12.064***

12.395***

 

(0.751)

(0.399)

(0.124)

(0.070)

(0.147)

(0.064)

Benefit unit (ref. one-person BU)

Single parent

− 6.461***

− 1.660***

− 1.716***

− 0.949***

− 1.157***

− 0.111

 

(0.875)

(0.464)

(0.145)

(0.081)

(0.171)

(0.075)

Couple without children

− 1.709

− 8.977***

1.890***

0.714***

1.718***

0.241*

 

(1.130)

(0.600)

(0.187)

(0.105)

(0.221)

(0.097)

Couple with child(ren)

− 6.147***

− 12.791***

3.032***

1.956***

1.298***

− 0.018

 

(0.786)

(0.417)

(0.130)

(0.073)

(0.154)

(0.067)

Other

− 0.375

− 7.930***

2.539***

1.313***

2.524***

1.013***

 

(1.317)

(0.699)

(0.218)

(0.122)

(0.258)

(0.113)

Occupational degree

− 1.491**

− 1.108***

− 0.574***

− 0.505***

− 0.129

− 0.156***

 

(0.496)

(0.263)

(0.082)

(0.046)

(0.097)

(0.042)

Year of benefit receipt (ref. 2016)

 2017

− 0.593

1.693***

− 0.296**

0.068

− 0.433***

0.092

 

(0.585)

(0.311)

(0.097)

(0.054)

(0.115)

(0.050)

 2018

− 0.784

3.195***

− 0.618***

0.020

− 0.683***

0.202***

 

(0.590)

(0.313)

(0.098)

(0.055)

(0.116)

(0.051)

Number of minor noncompliance actions (ref. 0)

 1

 

16.855***

 

2.722***

 

3.941***

  

(0.541)

 

(0.095)

 

(0.087)

 2

 

55.843***

 

8.849***

 

13.581***

  

(0.574)

 

(0.100)

 

(0.093)

 3

 

94.929***

 

14.966***

 

23.254***

  

(0.659)

 

(0.115)

 

(0.106)

 4

 

132.800***

 

20.985***

 

32.738***

  

(0.861)

 

(0.151)

 

(0.139)

 5

 

173.738***

 

27.883***

 

42.603***

  

(1.233)

 

(0.216)

 

(0.199)

 6

 

208.580***

 

33.446***

 

52.558***

  

(1.975)

 

(0.346)

 

(0.318)

 First severe infringement

 

127.578***

 

20.229***

 

31.305***

  

(0.479)

 

(0.084)

 

(0.077)

Number of additional severe infringements (ref. 0)

 1

 

332.738***

 

53.881***

 

65.495***

  

(0.604)

 

(0.106)

 

(0.097)

 2

 

546.758***

 

89.544***

 

87.212***

  

(2.214)

 

(0.387)

 

(0.357)

 3

 

536.763***

 

91.207***

 

88.733***

  

(5.886)

 

(1.030)

 

(0.949)

 4

 

618.579***

 

95.630***

 

92.633***

  

(17.981)

 

(3.146)

 

(2.898)

 5

 

647.277***

 

97.565***

 

94.881***

  

(59.624)

 

(10.432)

 

(9.611)

 6

 

603.847***

 

97.565***

 

94.881***

  

(59.624)

 

(10.432)

 

(9.611)

 Constant

109.768***

19.636***

17.332***

2.920***

25.602***

5.073***

 

(0.567)

(0.608)

(0.094)

(0.106)

(0.111)

(0.098)

 Observations

221,769

221,769

221,769

221,769

221,769

221,769

R2

0.028

0.726

0.042

0.697

0.040

0.817

  1. The table depicts regression estimates and standard errors (in parentheses). The analysis is limited to individuals receiving the full basic cash benefits. Sanction amount (column 1 and 2) is calculated as the sum of cuts on basic cash benefits, costs for housing, costs for special needs and unemployment bonus (if applicable) per person and month. The variable only indicates the implemented sanction amount based on the available benefit claim of individuals. Sanction amount in relation to total benefit claim (column 3 and 4) is set to not exceed 100%. Theoretical benefit cuts (column 5 and 6) cannot consider c uts on costs for living. The percentage is set to not exceed 100%. Restrictions of dataset 4 apply (see )
  2. Source: IEB V14.00.00–190,927, LHG V10.00.00–201,904, LST-S V10.00.00–201,904, data from the data warehouse (DWH) of the FEA January 2020. Own calculations.
  3. Asterisks indicate the respective significance levels:*p < 0.10, **p < 0.05, ***p < 0.01