Skip to main content
Have a personal or library account? Click to login
The effects of more intensive counseling for disadvantaged unemployed youth Cover

The effects of more intensive counseling for disadvantaged unemployed youth

Open Access
|Nov 2023

Figures & Tables

Table 1

Selected summary statistics by treatment status

Meant-test
TreatedControlsDiff.p>|t|
Female0.3890.2960.093***0.00
Age (in years)18.14718.595−0.448***0.00
At least compulsory school0.5820.5130.069***0.00
Austrian citizenship0.2750.1940.081***0.00
Eligible for asylum (convention refugee)0.4680.4160.052**0.03
Eligible for subsidiary protection0.1420.299−0.156***0.00
Social assistance full receipt0.4780.3560.122***0.00
Social assistance partial receipt0.4340.3320.102***0.00
Previous unemployment duration (days)519.010455.55063.460***0.00

Source: AUR, ASSD. – Notes: Social assistance receipt according to PES.

*** p < 0.01,

** p < 0.05,

* p < 0.1.

Table 2

Ø Effects of intensified counseling on meetings, job offers, and benefit sanctions in the year after entry into case management

TreatedControlsDifference
Case managementNo case managementATT
Share in % / Percentage point changeAbsolute (SE)Relative
Meeting
  Share with meeting (%)85.080.74.3(2.5)*5.3
  Number of meetings6.03.92.1(0.3)***53.6
  Meeting interval19.131.6−12.6(1.7)***−39.7
Job offers
  Share with job offer (%)54.343.710.6(3.4)***24.2
  Number of job offers4.12.51.6(0.3)***63.9
Benefit sanctions
  Share with sanction (%)6.94.82.0(1.5)*42.2
Job or ALMP refusal2.72.10.6(1.1)28.8
Missed Appointment6.14.12.1(1.4)*50.3

Source: AUR, ASSD. – ALMP: active labor market policy. ATT: average treatment effect on the treated. Relative: difference in outcomes between treated and controls as percentage of the controls’ outcomes. SE: heteroskedasticity-consistent analytical standard errors as proposed by Abadie & Imbens (2006) in parentheses.

*** p < 0.01,

** p < 0.05,

* p < 0.1.

Table 3

Ø Effects of intensified counseling on entries into ALMP measures in the year after entry into the case management

TreatedControlsDifference
Case managementNo case managementATT
Share in % / Percentage point changeAbsoluteRelative
Total85.184.40.7(2.7)0.9
  Employment measures9.36.82.4(1.7)*35.6
    Direct job creation in SEEs5.13.31.8(1.3)*52.8
    Direct job creation in NEPs2.01.30.7(1.1)56.1
    Non-profit personnel leasing1.91.80.1(1.0)5.9
  Qualification measures81.678.82.8(3.1)3.5
    Vocational orientation28.426.02.5(3.2)9.5
    Basic training46.335.610.7(3.1)***30.0
    Training and further education6.95.81.1(1.9)18.7
    PES subsidies to apprenticeships7.04.32.7(1.6)*63.5
    Supra-company apprenticeship training13.515.4−1.9(2.6)−12.3
    EAPQ6.97.9−1.0(1.8)−12.4
External counseling40.342.4−2.1(3.6)−5.0

Source: AUR, ASSD. – SEEs: socio-economic enterprises. NEPs: non-profit employment projects. EAPQ: extended apprenticeship or partial qualification. ATT: average treatment effect on the treated. Relative: difference in outcomes between treated and controls as percentage of the controls’ outcomes. Heteroskedasticity-consistent analytical standard errors as proposed by Abadie & Imbens (2006) in parentheses.

*** p < 0.01,

** p < 0.05,

* p < 0.1.

Table 4

Ø Effects of intensified counseling on the sum of days in different labor market positions in the three years after entry into case management

TreatedControlsDifference
Case managementNo case managementATT
AbsoluteRelative
In daysIn daysin %
Employed422426−4(25)−0.9
  Apprenticeship2372307(27)3.0
    Unsubsidized3742−5(12)−12.7
    Subsidized in companies422616(9)*60.3
    Supra-company apprenticeship training96103−7(18)−7.2
    EAPQ63594(18)6.7
  Other active dependent employment157178−21(18)*−11.7
    1st labor market137165−28(17)*−17.0
      Workers90120−29(15)*−24.6
      Employees39371(9)4.0
    2nd labor market (SEEs/NEPs)20137(4)*53.9
Registered unemployed171190−19(16)*−10.1
PES Training24520539(13)**19.1
Apprenticeship search100113−13(11)*−11.5
Economically inactive138141−4(15)−2.5

Source: AUR, ASSD. – Active dependent employment excludes, on the one hand, military and civilian service and, on the other hand, temporary absence from employment for reasons such as childcare, care and education. Temporary absences, self-employment and periods of other unemployment are not shown because of their rarity. 1st labor market includes employment in the regular labor market supported by integration subsidies and wage top-up granted by the PES. However, these subsidies play a marginal role in the target group. SEEs: socio-economic enterprises. NEPs: non-profit employment projects. ATT: average treatment effect on the treated. Relative: difference in outcomes between treated and controls as percentage of the controls’ outcomes. Heteroskedasticity-consistent analytical standard errors as proposed by Abadie & Imbens (2006) in parentheses.

*** p < 0.01,

** p < 0.05,

* p < 0.1.

Table 5

Ø Effects of intensified counseling on the labor market position after 3 years

TreatedControlsDifference
Case managementNo case managementATT
Share in % / percentage point changeAbsoluteRelative
Employed49.148.50.7(3.4)1.4
  Apprenticeship21.317.04.3(2.4)*25.2
    Unsubsidized5.84.90.9(1.4)17.6
    Subsidized in companies3.72.31.4(0.9)*61.3
    Supra-company apprenticeship training7.26.90.4(1.9)5.2
    EAPQ4.63.01.7(1.1)*56.8
  Other active dependent employment23.428.5−5.1(2.9)*−18.0
    1st labor market21.826.9−5.1(2.9)*−18.9
      Workers13.917.1−3.2(2.5)*−18.8
      Employees6.16.9−0.7(1.8)−10.5
    2nd labor market (SEEs/NEPs)1.61.7−0.1(0.8)−3.2
Registered unemployed14.216.9−2.7(2.9)−15.9
PES training14.211.72.5(2.2)*21.7
Apprenticeship search3.84.8−1.0(1.7)−20.9
Economically inactive16.715.90.8(2.6)5.3

Source: AUR, ASSD. – ATT: average treatment effect on the treated. Relative: difference in outcomes between treated and controls as percentage of the controls’ outcomes. Heteroskedasticity-consistent analytical standard errors as proposed by Abadie & Imbens (2006) in parentheses.

*** p < 0.01,

** p < 0.05,

* p < 0.1.

Table 6

Ø Effects of intensified counseling on unemployment duration, benefit receipt duration, benefit receipt after 3 years and average post-unemployment monthly earnings

TreatedControlsDifference
Case managementNo case managementATT
AbsoluteRelative
In days
Remaining unemployment duration53051515(32)2.9
Unemployment insurance benefit duration
  Unemployment benefit48425(6)12.9
  Unemployment assistance68652(12)3.3
  Other unemployment insurance benefits20017525(12)**14.4
    Subsistence allowance scheme16213725(11)**18.5
    Travel expenses3738−1(5)−1.4
Share in % / Percentage point change
Benefit receipt after 3 years
  Unemployment insurance benefits
    Unemployment benefit8.68.7−0.1(2.6)−0.8
    Unemployment assistance7.27.7−0.4(2.3)−5.7
    Other unemployment insurance benefits8.39.4−1.1(2.0)−11.5
    None75.974.31.6(3.2)2.1
  Social assistance27.327.4−0.1(3.4)−0.4
In €
Average monthly wage
  2 years after pilot entry1,0411,064−23(33)−2.1
  Calendar years 2019 and 20201,0471,069−22(26)−2.1

Source: AUR, ASSD. – Social assistance receipt according to AMS. Remaining unemployment duration and unemployment insurance benefit duration censored at three years. ATT: average treatment effect on the treated. Relative: difference in outcomes between treated and controls as percentage of the controls’ outcomes. Heteroskedasticity-consistent analytical standard errors as proposed by Abadie & Imbens (2006) in parentheses.

*** p < 0.01,

** p < 0.05,

* p < 0.1.

Table 7

Robustness of effects to sample and method variation

Ø Effects of intensified counseling on the labor market position after 3 years, ATT, in percentage points

MatchingOLS
(0)(1)(2)(3)(4)(5)(6)(7)No corr.Corr.
Employed0.7(3.4)0.1(3.3)0.7(3.3)−0.3(3.6)−2.2(4.4)−0.5(3.8)0.3(4.3)0.3(5.2)−5.1(2.4)**−1.3(2.7)
Dep. emp.1.7(3.5)0.7(3.3)1.7(3.4)0.7(3.6)−1.9(4.5)1.5(4.0)1.4(4.1)0.3(5.2)−5.3(2.4)**−1.2(2.7)
Active dep. emp.−0.8(3.5)−0.9(3.3)−1.0(3.4)−2.0(3.6)−5.2(4.5)*−0.9(3.9)−0.8(4.1)−1.1(5.2)−6.9(2.4)***−2.4(2.7)
Reg. unemp.−2.7(2.9)−3.2(3.0)*−3.1(2.8)*−3.1(3.1)*−0.5(3.0)−3.2(3.3)−5.3(3.8)*1.6(2.8)0.7(1.7)−2.1(1.8)**
PES training2.5(2.2)*2.8(2.1)*3.2(2.0)*2.8(2.2)*0.7(3.0)3.0(2.2)*2.6(2.5)*−0.8(3.8)0.9(1.6)1.4(1.9)
Apprent. search−1.0(1.7)−1.0(1.4)−0.8(1.7)−0.5(1.6)−1.3(2.1)−0.6(1.5)0.0(1.7)−1.6(2.1)0.3(0.9)−0.3(1.0)
Other unemp. status−0.5(1.0)−1.1(1.1)−0.5(1.0)−0.4(1.0)0.4(0.9)−0.4(0.8)−0.8(1.3)0.0(0.9)−0.1(0.6)−0.3(0.7)
Econ. inactive0.8(2.6)2.5(2.8)0.6(2.7)1.7(2.5)2.8(3.1)1.6(2.6)3.5(3.1)*0.5(3.1)3.3(1.7)**2.8(2)

Source: AUR, ASSD. – ATT: average treatment effect on the treated. Matching: 4-to-1 Propensity score matching within caliper of 0.1, combined with exact covariate matching on residence status, social assistance receipt and last economic activity. OLS: ordinary least squares. No corr.: without control variables. Corr.: with control variables from matching. (0): chosen sample. (1): Not excluding persons who did not meet the target group criteria at the end of the month. (2): Not excluding persons who were over 21 years old at the end of the month. (3): Excluding controls for previous unemployment duration (distinguishing between different unemployment statuses). (4): considering only the experiment participants with access in November 2018 and not the experiment accesses in the following months (December 2018 to March 2019), (5): restricting the population to all persons receiving social assistance in the reference month according to both the PES and the social welfare office Vienna. (6): only persons with at least one PES contact in the first half of the year. (7): only persons who were (co-)insured in Austria for a maximum of five years and active on the labor market for a maximum of three years. Standard errors in parentheses, in case of matching heteroskedasticity-consistent analytical standard errors as proposed by Abadie and Imbens (2006).

*** p < 0.01,

** p < 0.05,

* p < 0.1.

Table 8

Covariate balance before and after matching

Before matchingAfter matching
Meant-testMeant-test
TreatedControlsDiff.p > |t|TreatedControlsDiff.p > |t|
Female0.3890.2960.093***0.000.3830.387−0.0050.84
Age (in years)18.14718.595−0.448***0.0018.13118.178−0.0470.47
At least compulsory school0.5820.5130.069***0.000.5740.604−0.0290.20
Health-related placement restriction10.0420.0100.032***0.000.0320.0240.0080.28
Nationality
  Austria0.2750.1940.081***0.000.2670.280−0.0130.54
  Turkey, former Yugoslavia0.0640.0490.0150.160.0660.0570.0080.45
Naturalized0.0930.0680.025*0.060.0950.105−0.0100.47
Asylum status
  Eligible for asylum (convention refugee)0.4680.4160.052**0.030.4700.4700.0001.00
  Subsidiary protection0.1420.299−0.156***0.000.1470.1470.0001.00
German language level A0.2310.294−0.062***0.000.2420.2190.0230.24
German language level B0.5330.4900.043*0.070.5310.551−0.0200.39
Status at end of previous month
  Registered unemployed0.1700.229−0.059***0.000.1670.1650.0020.92
  Looking for an apprenticeship0.1970.1930.0030.850.2020.1990.0030.89
  In PES training0.4830.4560.0270.240.4850.4770.0080.73
  In employment0.1430.0860.057***0.000.1310.135−0.0030.84
  Out of the labor force0.0630.149−0.085***0.000.0610.0510.0100.34
  In basic qualification0.2800.331−0.050**0.020.2930.2830.0100.65
  In vocational orientation0.0680.0480.020*0.080.0690.071−0.0020.84
  In external counseling0.2210.2010.0200.310.2250.252−0.0270.18
Social assistance full receipt20.4780.3560.122***0.000.4750.4720.0030.90
Social assistance partial receipt20.4340.3320.102***0.000.4320.434−0.0020.94
Unemployment assistance receipt0.0550.0430.0120.240.0470.0340.0140.13
Previous unemployment duration (days)519.010455.55063.460***0.00508.550510.210−1.6600.92
  Days in registered unemployment63.20574.537−11.332**0.0263.00464.348−1.3440.77
  Days in PES training282.860267.02015.8400.19279.210280.190−0.9800.93
  Days looking for an apprenticeship116.71072.45044.260***0.00111.630110.3301.3000.80
No previous dependent employment0.7290.7220.0070.740.7470.759−0.0120.54
Last income >1,000 €0.0580.109−0.051***0.000.0610.0570.0050.66
Employment history: days in last 5 years3
  Active unsubsidized dep. employment21.85824.516−2.6580.6021.26818.7992.4690.58
    Apprenticeship
  Active subsidized dep. employment 1st lm2.7652.899−0.1350.912.5663.634−1.0680.35
  Active subsidized dep. employment 2nd lm73.48748.35425.133***0.0066.01869.442−3.4240.68
  Temporary absence3.3983.477−0.0790.973.2824.205−0.9220.65
  Self-employment1.1160.4290.6860.381.0400.2280.8120.26
  Registered unemployment79.86782.482−2.6150.6479.36684.708−5.3420.36
  PES training271.240250.45020.790*0.05270.990267.2103.7800.72
  Apprenticeship search172.75098.06074.690***0.00164.100156.3407.7600.22
  Other unemployment status19.65713.2246.433***0.0019.67321.651−1.9780.39
Employment history: days in last 2 years3
  Active unsubsidized dep. employment12.94213.596−0.6540.8212.4009.7172.6830.28
  Active subsidized dep. employment 2nd lm52.85036.67516.175***0.0149.28852.080−2.7920.66
Employment history: days in last year3
  Active unsubsidized dep. employment5.7437.148−1.4040.315.5295.1850.3450.77
    Apprenticeship1.8401.6060.2350.771.9361.7980.1390.86
  Active subsidized dep. employment 2nd lm35.34123.80611.535***0.0032.82035.113−2.2930.59
  Registered unemployment65.06271.601−6.5390.1764.42070.614−6.1940.21
  PES training223.310221.6301.6800.85226.590223.2303.3600.70
  Apprenticeship search118.00067.39350.607***0.00113.360108.8004.5600.33
1 year ago employed0.1050.0900.0150.270.0970.101−0.0040.75
1 year ago unemployed0.6030.5430.060**0.010.6020.5950.0070.75
6 months ago employed0.1180.0980.0190.190.1100.1100.0000.99
6 months ago unemployed0.6800.6030.077***0.000.6820.689−0.0070.76
3 months ago employed0.1070.0650.043***0.000.0990.113−0.0140.33
3 months ago unemployed0.7660.7270.039*0.060.7750.7740.0010.96
1 year ago social assistance full receipt0.3030.2360.067***0.000.3070.3010.0060.78
1 year ago social assistance partial receipt0.1750.210−0.035*0.060.1700.1490.0210.22
Sickness benefit (unemployed) in last 2 years0.2450.2100.035*0.080.2310.265−0.0350.08
ALMP participation in last 2 years
  Active job search0.1240.0650.059***0.000.1170.126−0.0090.57
  Basic qualification0.6660.681−0.0150.510.6710.6500.0220.32
  Vocational orientation0.4700.3940.075***0.000.4570.476−0.0200.40
  Training and further education0.1340.0780.056***0.000.1230.1200.0030.84
  Supra-company apprenticeship training0.1410.0950.047***0.000.1250.1200.0050.73
  EAPQ0.0700.0440.025**0.020.0650.084−0.0190.11
  External counseling0.6330.5980.0340.140.6360.639−0.0030.89
Nr. PES contacts in last 6 months2.6642.2370.427***0.002.6132.5930.0200.86
Nr. PES contacts in last 2 years7.1425.8441.298***0.006.8946.952−0.0580.82
Nr. PES placement offers in last 6 months1.6881.970−0.2820.121.6691.828−0.1590.33
Nr. PES placement offers in last 2 years3.3094.149−0.840**0.023.2753.697−0.4220.15
Last profession
  Simple/basic services0.0700.0580.0120.300.0670.0640.0020.83
  Accomodation, food service0.0520.0440.0080.440.0510.056−0.0050.61
  Law0.0640.0290.036***0.000.0630.0620.0010.94
  Production0.5140.517−0.0030.900.5230.530−0.0080.74
  Trade and sales0.1860.1570.0290.100.1820.1720.0100.58
Last employment in the public sector0.2110.1340.077***0.000.1760.1760.0001.00
Unemployment insurance benefit daily rate
  ≤5 €0.0840.096−0.0120.370.0860.087−0.0010.94
  ≤ 15 €0.1660.1500.0160.360.1650.1500.0150.37
  ≤ 20 €0.0900.119−0.029**0.050.0940.0880.0050.69
Social assistance receipt3
Full receipt, single0.1000.0970.0030.820.1010.0940.0070.61
Full receipt, no single0.0320.0300.0020.830.0320.044−0.0110.21
Partial receipt, single0.2890.359−0.070***0.000.2810.285−0.0040.84
Partial receipt, no single0.4940.3490.145***0.000.5010.5010.0001.00
Balancing indicators
Pseudo R2P > χ2Median bias
Before matching0.2450.00010.4
After matching0.0220.9772.1

Source: AUR, ASSD. – Notes:

1: According to PES, other than legal disability status.

2: According to PES.

3: Active dependent employment: excluding persons with a valid employment relationship who are temporarily absent for reasons such as parental leave.

4 According to the city of Vienna. 1st and 2nd lm: 1st and 2nd labor market. EAPQ: extended apprenticeship or partial qualification. After matching all variables statistically insignificant.

*** p < 0.01,

** p < 0.05,

* p < 0.1.

Balancing indicators: Pseudo R2 from logit estimation on raw and matched samples. P-value of the likelihood-ratio test of the joint significance of all regressors. Median absolute standardized bias: % difference of the sample means in the treated and non-treated subsamples as a percentage of the square root of the average of the sample variances in the treated and non-treated groups.

Table 9

Logit estimates of the propensity scores

Odds Ratio (SE)
Female1.472*** (0.198)
Age (in years)0.567*** (0.040)
At least compulsory school1.117 (0.171)
Health-related placement restriction15.032*** (2.453)
Nationality
  Austria1.854 (0.685)
  Turkey, former Yugoslavia0.778 (0.302)
Naturalized0.621* (0.173)
Asylum status
  Eligible for asylum (convention refugee)1.015 (0.315)
  Subsidiary protection0.655 (0.221)
German language level A2.023** (0.531)
German language level B1.974*** (0.451)
Status at end of previous month
  Registered unemployed0.481** (0.135)
  Looking for an apprenticeship0.377*** (0.108)
  In PES training0.611* (0.179)
  In employment0.997 (0.407)
  Out of the labor force0.532** (0.159)
  In basic qualification0.509** (0.153)
  In vocational orientation0.751 (0.276)
  In external counseling1.449* (0.270)
Social assistance full receipt23.777*** (0.704)
Social assistance partial receipt26.120*** (1.355)
Unemployment assistance receipt0.848 (0.360)
Previous unemployment duration (days)1.001 (0.001)
  Days in registered unemployment0.997 (0.002)
  Days in PES training0.999 (0.002)
  Days looking for an apprenticeship0.998 (0.002)
No previous dependent employment1.208 (0.259)
Last income >1,000 €0.624 (0.185)
Employment history: days in last 5 years3
  Active unsubsidized dependent employment1.000 (0.003)
    Apprenticeship0.999 (0.003)
  Active subsidized dependent employment 1st labor market0.998 (0.003)
  Active subsidized dependent employment 2nd labor market1.001 (0.001)
  Temporary absence1.000 (0.001)
  Self-employment1.007 (0.007)
  Registered unemployment1.008*** (0.002)
  PES training1.001 (0.001)
  Apprenticeship search1.003*** (0.001)
  Other unemployment status1.002 (0.002)
Employment history: days in last 2 years3
  Active unsubsidized dependent employment1.005* (0.003)
  Active subsidized dependent employment 2nd labor market1.000 (0.002)
  Registered unemployment0.996* (0.002)
  PES training0.999 (0.001)
  Apprenticeship search1.004** (0.002)
Employment history: days in last year3
  Active unsubsidized dependent employment0.999 (0.005)
    Apprenticeship0.995 (0.006)
  Active subsidized dependent employment 2nd labor market0.999 (0.003)
1 year ago employed0.974 (0.401)
1 year ago unemployed1.064 (0.206)
6 months ago employed0.561 (0.266)
6 months ago unemployed1.188 (0.222)
3 months ago employed2.227* (0.985)
3 months ago unemployed0.858 (0.175)
1 year ago social assistance full receipt1.187 (0.193)
1 year ago social assistance partial receipt0.686** (0.128)
Sickness benefit (unemployed) in last 2 years0.870 (0.143)
Active labor market policy participation in last 2 years
  Active job search1.748** (0.433)
  Basic qualification1.610** (0.305)
  Vocational orientation1.008 (0.152)
  Training and further education1.612** (0.354)
  Supra-company apprenticeship training1.137 (0.424)
  EAPQ0.759 (0.318)
  External counseling0.850 (0.127)
Nr. PES contacts in last 6 months1.130** (0.051)
Nr. PES contacts in last 2 years0.966 (0.027)
Nr. PES placement offers in last 6 months1.003 (0.026)
Nr. PES placement offers in last 2 years0.921*** (0.014)
Last profession
  Simple/basic services1.823* (0.526)
  Accommodation, food service1.397 (0.433)
  Law2.619** (0.890)
  Production1.318 (0.233)
  Trade and sales1.303 (0.285)
Last employment in the public sector1.264 (0.394)
Unemployment insurance benefit daily rate
  ≤5 €0.901 (0.281)
  ≤ 15 €0.619* (0.157)
  ≤ 20 €1.110 (0.284)
Social assistance receipt4
  Full receipt, single1.354 (0.368)
  Full receipt, no single0.887 (0.336)
  Partial receipt, single1.533* (0.340)
  Partial receipt, no single1.422* (0.297)
Constant1545.793*** (2044.712)

Source: AUR, ASSD. – Notes: Dependent variable: treated.

1: According to PES, other than legal disability status.

2: According to PES.

3: Active dependent employment: excluding persons with a valid employment relationship who are temporarily absent for reasons such as parental leave. EAPQ: extended apprenticeship or partial qualification.

4 According to the city of Vienna. Standard errors in parentheses.

Statistical significance based on Z statistics.

*** p < 0.01,

** p < 0.05,

* p < 0.1.

Table 10

Comparison of matching algorithms

(1)(2)(3)
% loss to common support5.07.52.1
Logit Pseudo-R2, after10.0220.0240.026
P > χ2, after20.9770.9370.782
Median bias, after32.12.22.7
ATT (SE), employed0.7(3.4)1.6(3.5)−1.4(3.5)
ATT (SE), dependent employed1.7(3.5)2.5(3.6)−0.5(3.5)
ATT (SE), active dependent employed−0.8(3.5)−0.2(3.5)−2.7(3.5)
ATT (SE), registered unemployed−2.7(2.9)−2.7(3.5)−1.0(2.4)
ATT (SE), PES training2.5(2.2)1.5(2.7)2.3(2.4)
ATT (SE), apprenticeship search−1.0(1.7)−1.0(1.6)−1.0(1.3)
ATT (SE), other unemployment status−0.5(1.0)−0.6(1.4)−0.7(0.9)
ATT (SE), economically inactive0.8(2.6)1.1(2.6)1.9(2.4)

[i] Source: AUR, ASSD. – Notes: (1) 4-to-1 Propensity score matching within caliper of 0.1, combined with exact covariate matching on residence status, social assistance receipt and last economic activity. (2) Additional exact matching on gender. (3) Kernel matching with epanechnikov kernel and bandwidth 0.1. Proportion of treated lost to common support. Pseudo R2 from the logit estimation on the matched samples. P-value of the likelihood-ratio test of the joint significance of all regressors after matching. Median absolute standardized bias after matching: % difference of the sample means in the matched treated and matched non-treated subsamples as a percentage of the square root of the average of the sample variances in the treated and non-treated groups. ATT: Absolute average treatment effect on the treated (in percentage points) on the labor market position after 3 years. Standard errors in parentheses, in case of (1) and (2) heteroskedasticity-consistent analytical standard errors as proposed by Abadie & Imbens (2006).

Language: English
Submitted on: Feb 1, 2023
Published on: Nov 9, 2023
Published by: Sciendo
In partnership with: Paradigm Publishing Services
JEL:

© 2023 Rainer Eppel, Helmut Mahringer, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 License.