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How effective are hiring subsidies in reducing long-term unemployment among prime-aged jobseekers? Evidence from Belgium Cover

How effective are hiring subsidies in reducing long-term unemployment among prime-aged jobseekers? Evidence from Belgium

By: Sam Desiere and  Bart Cockx  
Open Access
|May 2022

Figures & Tables

Figure 1

The evolution of long-term unemployment in Flanders.Source: Monthly average from Arvastat (https://arvastat.vdab.be/, accessed April 2021).

Figure 2

Employment stability: share of individuals aged 45–48 years hired in Month 5 (not eligible for the subsidy) vs. in Month 6 (eligible for the subsidy) employed for 1–65 consecutive months after being hired.Notes: For clarity, only the 95% confidence interval for individuals hired in Month 6 are shown. The main message is that the employment rate of individuals hired in Month 5 (not eligible for the subsidy) is slightly higher than the employment rate of individuals hired in Month 6 (eligible for the subsidy), but the difference between both groups is not statistically significant. The CIs are constructed by regressing the employment rate on the number of months after registration (dummies), dummies indicating the group (jobseekers hired in Month 5 vs. hired in Month 6), and the interaction terms between these dummies.

Figure 3

Exploring the effect of the abolition of the subsidy in a DiD framework: the job-finding rate of jobseekers aged 45–48 years as a function of elapsed unemployment duration, before and after the reform.Notes: The vertical dashed line indicates the month in which jobseekers become eligible for the hiring subsidy prior to the reform. The pre-reform period consists of jobseekers who registered at the PES in 2015. The post-reform period consists of jobseekers who registered in 2017. DiD, difference-in-differences; PES, public employment service.

Figure 4

The effect of abolition of the subsidy on the probability of finding employment lasting 1–12 (consecutive) months.Notes: Each graph shows the triple-interaction term with its 95% confidence interval obtained by estimating 12 triple-difference regressions following the benchmark specification as in Table 2. The outcome is an indicator taking the value of one if the jobseeker found a job and remained employed for 1–12 (consecutive) months, and zero otherwise. Full results of the triple-difference regressions are reported in Table A4 in Appendix A.

Figure A1

The evolution of long-term unemployment in Flanders among jobseekers aged 40–48 years.Source: Monthly average from Arvastat (https://arvastat.vdab.be/, accessed April 2021).

Figure A2

The job-finding rate of jobseekers aged 40–43 years as a function of the elapsed unemployment duration, before and after the reform.Notes: The vertical dashed line indicates the month in which jobseekers aged 45–48 years become eligible for the hiring subsidy prior to the reform.

Figure A3

The effect of the abolition of the subsidy on the probability of finding employment lasting 1–12 (consecutive) months using the more stringent definition of employment.Notes: Each graph shows the triple-interaction term with its 95% CI obtained by estimating 12 triple-difference regressions following the benchmark specification as in Table 2. The outcome is an indicator taking the value of one if the jobseeker found a job and remained employed for 1–12 (consecutive) months, and zero otherwise. The definition of employment follows a more stringent definition of work, thereby excluding temporary work lasting between 10 days and 20 days per month.

The impact of abolition of the hiring subsidy on the job-finding rate: full results of the benchmark specification

Benchmark
Unemployment duration (base level: Month 1)
Month 2−0.0407*** (0.00183)
Month 3−0.0841*** (0.00181)
Month 4−0.0998*** (0.00183)
Month 5−0.109*** (0.00185)
Month 6−0.111*** (0.00213)
Month 7−0.122*** (0.00213)
Month 8−0.129*** (0.00213)
Month 9−0.132*** (0.00214)
Month 10−0.141*** (0.00212)
Month 11−0.141*** (0.00215)
Month 12−0.143*** (0.00217)
Post-reform0.0250*** (0.00275)
Age 4548 years−0.00487*** (0.00144)
Age 4548 years ## post-reform0.0101*** (0.00261)
Post-reform ## long-term unemployed−0.0231*** (0.00247)
Post-reform ## age 4548 years ## long-term unemployed0.0118*** (0.00358)
Year of registration at the PES (base level: 2012)
2013−0.00498*** (0.00147)
20140.00309** (0.00154)
20150.0131*** (0.00159)
20160.0115*** (0.00205)
20170.0162*** (0.00283)
20180.0205*** (0.00298)
Education (base level: high level)
Low−0.00236** (0.00116)
Medium0.00423*** (0.00115)
Man0.00759*** (0.000845)
Proficiency in Dutch (base level: no proficiency)
Limited proficiency−0.00967*** (0.00332)
Good proficiency0.00455 (0.00325)
Excellent proficiency0.00491 (0.00329)
Origin (base level: EU-15)
EU-13−0.0196*** (0.00261)
Other−0.0250*** (0.00110)
Constant0.197*** (0.00387)
No. of unemployment spells104,437
No. of observations602,916
R20.032

Placebo tests for the benchmark analysis

Parallel trendPlacebo test for the short-term unemployed
Age 45–48 years ## long-term unemployed ##
20120.00494 (0.00613)
20130.00441 (0.00534)
2014−0.000794 (0.00559)
2016 Q1–Q20.00574 (0.00762)
2016 Q3–Q40.00516 (0.00715)
20170.0101* (0.00616)
20180.0137* (0.00721)
Age 4548 years ## after reform ## unemployed for (base level: 5 months)
Less than 5 months 0.00134 (0.00668)
6–12 months −0.0112* (0.00650)

No. of unemployment spells104,437104,437
No. of observations602,916602,916
R20.032602,916

Pre-reform parallel trend (F-test, p-value)0.74
Post-reform parallel trend (F-test, p-value)0.59
No effect on the short-term unemployed (p-value) 0.84

The effect of the subsidy for different populations

Job-finding rateJob stability: remaining employed for 6 consecutive months
Benchmark specification−0.0118*** (0.00358)−0.00408 (0.00286)
Population: all jobseekers−0.0101*** (0.00269)−0.00521** (0.00209)
Population: all jobseekers who worked 4 months prior to registration + jobseekers whose unemployment history is not known−0.0110*** (0.00330)−0.00417 (0.00265)

The effect of the abolition of the hiring subsidy on finding a job and remaining employed for 1–12 consecutive months (Figure 4, left panel in the main text plots the results)

Employed for at least:
1 month2 months3 months4 months5 months6 months7 months8 months9 months10 months11 months12 months
Effect−0.0118*** (0.00358)−0.00934*** (0.00337)−0.00786** (0.00322)−0.00445 (0.00308)−0.00459 (0.00297)−0.00408 (0.00286)−0.00361 (0.00273)−0.00383 (0.00264)−0.00347 (0.00256)−0.00191 (0.00248)−0.000313 (0.00238)−0.000546 (0.00230)
No. of unemployment spells104,437104,437104,158103,949103,699103,444103,157102,837102,726102,601102,430102,280
No. of observations602,916602,323601,458600,846600,165599,403598,250597,607597,227596,763596,209595,688
R20.0320.0280.0260.0240.0220.0210.0210.0220.0220.0220.0210.020
Post-reform placebo test (F-test, p-value)0.580.730.810.620.840.880.640.960.930.780.320.37
Effect on the short-term unemployed (p-value)0.910.850.750.940.940.770.890.870.730.500.440.39

The Breusch–Godfrey LM test on grouped errors

Weighted OLS
Lagged grouped error0.0526*** (0.0109)

Number of observations9,742
R20.021

DiD exploiting differences across unemployment duration among older jobseekers and placebo tests

DiD: short-term vs. long-term unemployed, among jobseekers aged 45–48 yearsPlacebo test 1: post-reform parallel trendsPlacebo test 2: jobseekers aged 40–43 years
Post-reform ## long-term unemployed−0.0352*** (0.00264) −0.0230*** (0.00248)
Long-term unemployed ## year (base level: 2015)
2012 0.00626 (0.00444)
2013 0.0162*** (0.00384)
2014 0.00572 (0.00403)
2016 Q1–Q2 −0.000136 (0.00548)
2016 Q3–Q4 −0.0194*** (0.00523)
2017 −0.0283*** (0.00448)
2018 −0.0377*** (0.00522)

No. of observations283,469283,469319,447
R20.0340.0340.031
Post-reform parallel trend (F-test, p-value) 0.012**

The impact of the abolition of the hiring subsidy on the job-finding rate: triple-difference estimates

BenchmarkRuling out:More stringent definition of “work” (excluding short-lived temporary work)

Substitution between age groupsSubstitution between the short-term and long-term unemployedAnticipation effects
Age 4548 years ## post-reform ## long-term unemployed (base level: 40–43 years)
0.0118*** (0.00358) 0.0119*** (0.00377)0.0133*** (0.00408)0.00636** (0.00273)
Post-reform ## long-term unemployed (base level: 35–37 years)
## Age 38 years 0.00779** (0.00389)
## Age 39 years 0.000466 (0.00394)
## Age 40 years 0.00170 (0.00399)
## Age 41 years −0.00158 (0.00404)
## Age 42 years 0.00222 (0.00413)
## Age 43 years −0.000159 (0.00410)
## Age 44–44.5 years 0.000781 (0.00558)
Age 4548 years ## post-reform ## unemployed for 5 months
−0.000717 (0.00667)

No. of unemployment spells104,437281,701104,43789,291104,437
No. of observations602,9161,686,890602,916516,196753,119
R20.0320.0330.0320.0320.013

Placebo tests
Post-reform parallel trend test (F-test, p-value)0.590.930.750.630.20
Effect on the short-term unemployed (p-value)0.840.860.91

The effect of the subsidy by gender and level of education

Job-finding rateJob stability


Benchmark specificationMore stringent definition of “work” (excluding short-lived temporary work)Remaining employed for 6 consecutive months
Sex
  Men−0.0076 (0.0118)−0.0048 (0.0039)−0.0044 (0.0039)
  Women−0.0168*** (0.0052)−0.0083** (0.0038)−0.0041 (0.0042)
Education
  Less than a bachelor's degree−0.0074*, a (0.004)−0.0051* (0.003)−0.0005a (0.0032)
  At least a bachelor's degree−0.0264***, a (0.0077)−0.0113* (0.0062)−0.0163**, a (0.0064)

DiD exploiting differences across age groups for the long-term unemployed and placebo tests

DiD: young vs. older long-term unemployed jobseekersPlacebo test 1: post-reform parallel trendsPlacebo test 2: short-term unemployed
Post-reform ## age 45–48 years−0.00138 (0.00245) 0.0101*** (0.00261)
Age 45–48 years ## year (base level: 2015)
2012 0.00769* (0.00394)
2013 0.00220 (0.00346)
2014 0.00463 (0.00363)
2016 Q1–Q2 0.00444 (0.00495)
2016 Q3–Q4 0.00652 (0.00473)
2017 0.00102 (0.00407)
2018 0.00195 (0.00538)

No. of observations241,611241,611361,305
R20.0050.0050.020
Post-reform parallel trend (F-test, p-value)0.34

Studies on the effectiveness of private employment programs for the long-term unemployed included in the review by Card et al_ (2018) (studies not included in the bibliography)

TitleAuthorsYear of publicationJournalCountry
Active labor market policies in Denmark: A comparative analysis of postprogram effectsBlanche2011UDenmark
Evaluating the impact of a well-targeted wage subsidy using administrative dataCseres-Gergely, Scharle, Földessy2012UHungary
The effectiveness of targeted wage subsidies for hard-to-place workersJaenichen, Stephan2011Applied EconomicsGermany
Evaluation of subsidized employment programs for long-term unemployed in BulgariaMihaylov2011Economic StudiesBulgaria
Do long-term unemployed workers benefit from targeted wage subsidies?Schünemann, Lechner, Wunsch2013German Econ RevGermany
Employment subsidies: A fast lane from unemployment to work?Forslund, Johansson, Lindquist2004USweden
Income support policies for part-time workers: A stepping-stone to regular jobs?Cockx, Robin, Goebel2010UBelgium
An application to young long-term unemployed women in Belgium
Dynamic treatment assignment: The consequences for evaluations using observational dataFredriksson, Johansson2008USweden
Do active labor market policies help unemployed workers to find and keep regular jobs?Van Ours2000BookSlovakia
The locking-in effect of subsidized jobsVan Ours2004Journal of Comparative EconomicsSlovakia

Characteristics of jobseekers by age group and unemployment duration: Age group; Unemployment duration, before and after the reform

Jobseekers aged 40–43 yearsJobseekers aged 45–48 yearsTriple difference2



Short-term unemployedLong-term unemployedShort-term unemployedLong-term unemployed




BeforeAfterBeforeAfterBeforeAfterBeforeAfterHired with a subsidy1
Age, years41.4841.4441.4941.4446.4746.4746.4846.4647.130.77
Men, %54.1254.7754.7654.1053.8054.8454.8354.1356.840.43

Education, %

Low38.7437.6640.9939.5042.7339.3744.1541.5643.33−1.18
Medium39.6939.0138.7237.5937.4738.5336.4137.1043.73−0.08
High21.5723.3420.3022.9119.8022.1119.4421.3412.941.25

Proficiency in Dutch, %

No1.262.801.352.831.072.581.202.712.22−0.05
Limited11.2214.1713.2516.0610.0613.0811.7915.489.61−0.81
Good37.4032.4737.7032.3239.0435.1339.5035.3237.60−0.18
Excellent50.1350.5747.7048.7949.8349.2147.5146.5050.571.04

Origin, %

EU-1574.4668.0870.3363.8680.1673.8076.4270.1577.97−0.17
EU-132.163.462.443.581.762.971.953.353.11−0.34
Other23.3828.4727.2432.5618.0823.2321.6326.5018.920.52

No. of individuals34,31821,12718,2598,33230,40518,58716,3817,1921,221

The five most important sectors in terms of new hires with a subsidy in each quarter (2015Q2–2016Q4)

SectorShare of new hires with a subsidy, 2015Q2–2016Q4
Temporary employment agency activities61%
Cleaning activities4%
Restaurants and mobile food service activities2%
Retail sale in nonspecialized stores2%
Other social work activities without accommodation2%

The effect of the subsidy on the job-finding rate: robustness checks

Censor spells when jobseekers leave the labor marketTreatment group includes jobseekers aged 44.548 yearsSensitivity to classification of jobseekers into pre-reform and post-reform periodsEffect by month

Using July 1, 2016, as cutoff dateExcluding jobseekers registering in June 2016Excluding jobseekers registering in the period April–June 2016
Effect−0.0125*** (0.00394)−0.0113*** (0.00347)−0.0113*** (0.00363)−0.0116*** (0.00364)−0.0115*** (0.00365)
Age 4548 years ## post-reform
## Unemployed for 6 months 0.0168** (0.00664)
## Unemployed for 7 months 0.00731 (0.00678)
## Unemployed for 8 months 0.00979 (0.00684)
## Unemployed for 9–12 months 0.0262*** (0.00292)

No. of unemployment spells104,437110,930104,437103,322101,296104,437
No. of observations545,580640,138602,916596,171583,026602,916
R20.0280.0320.0320.0320.0330.032
Language: English
Accepted on: Feb 23, 2022
|
Published on: May 7, 2022
Published by: Sciendo
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2022 Sam Desiere, Bart Cockx, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.