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In-work Benefits in Belgium: Effects on Labour Supply and Welfare

  1. Antoine de Mahieu  Is a corresponding author
  1. UCLouvain - Saint-Louis Bruxelles, Belgium
Research article
Cite this article as: A. de Mahieu; 2021; In-work Benefits in Belgium: Effects on Labour Supply and Welfare; International Journal of Microsimulation; 14(1); 43-72. doi: 10.34196/ijm.00229
17 figures and 10 tables

Figures

Unemployment rate by level of education (Source: OECD)
Labour supply distribution of men (left) and women (right) in the sample
Estimated indifference curves
Estimated job offer intensity (2016)
Effect of covariates on wage offers
Estimated evolution of hourly wages
Estimated hours offers distribution
Level of WB in function of gross wage (full-time worker) and gross wage distribution
Budget set of single working at min. wage - base and reform 1
Decomposition of labour supply changes
Welfare changes following reform 1
Welfare changes following reform 2
Welfare changes following reform 3
Simulated and observed hours distributions
Simulated and observed wage distributions
Estimated disposable income distribution
Estimated disposable income distribution

Tables

Table 1
Policy parameters (2016): Work-Bonus and Fiscal Work-Bonus
Parameter Unit Value
A EUR/month 193.79
θ 1 EUR/month 1,577.89
θ2 EUR/month 2,461.27
ρ 1 % 21.94
ρ 2 % 28.03
Table 2
Descriptive statistics - households included in the estimation sample
Single Couple
Male Female Male Female
Number of observations 4057 4585 8344
Av. working time - Workers (h/week) 39.6 34.9 40.7 32.9
Average hourly gross wage (EUR/h) 20.3 19.9 22.2 19.7
Participation (%) 77.3 74.7 96.1 92.6
Highest level of education (%) - Workers
- Primary or no education 6.1 5.2 4.4 3.8
- Lower secondary education 13.3 10.7 11.0 8.0
- Upper secondary education 37.2 31.4 36.0 30.2
- High education 43.5 52.8 48.6 57.9
Highest level of education (%) - Non-workers
- Primary or no education 24.1 25.3 22.5 14.8
- Lower secondary education 28.4 23.1 22.2 24.7
- Upper secondary education 27.8 33.2 36.4 35.6
- High education 19.7 18.5 18.8 25.0
Household composition
Average household size 1.4 1.8 3.3
- of which children 0.1 0.6 1.3
Table 3
Descriptive statistics - overtime workers in sub-sample
Work regime Comparison
All Overtime
(>0h/w) (>40h/w)
Average age 40.4 40.4 +0
Average working time (h/week) 37.1 49.5 +12.4
Average years of education 13.3 14.4 +1.1
Average gross hourly wage (EUR 2016) 20.7 21.5 +0.8
Average gross earnings (EUR 2016) 3310.5 4569.7 +1259.2
Percentage of males 51.9 72.6 +20.7
Type of ISCO occupation (%)
- 0: Armed forces 0.7 0.5 -0.2
- 1: Senior officials and managers 6.5 18.2 +11.7
- 2: Professionals 23.5 32.2 +8.7
- 3: Technicians 16.0 15.0 -1.0
- 4: Clerical support workers 19.3 11.9 -7.4
- 5: Services and sales workers 9.9 6.7 -3.2
- 6: Skilled agricultural 0.4 0.3 -0.1
- 7: Craft and trade workers 8.5 6.4 -2.1
- 8: Plant and machine operators 6.0 5.9 -0.1
- 9: Elementary occupations 9.2 2.8 -6.4
Table 4
Model specification - covariates
Preferences Opportunities
intensity job offers hours wages
<disp-formula> X l </disp-formula> <disp-formula> X o </disp-formula> <disp-formula> X h </disp-formula> <disp-formula> X w </disp-formula>
Regional dummies yes yes no no
Education dummies yes yes no yes
Age yes no no no
Group-specific unemp. no yes no no
Number of children yes no no no
Gender yes yes yes yes
Experience no no no yes
Year no yes* no yes
  1. *

    Included implicitly as group-specific unemployment rates are year-specific.

Table 5
Marginal utilities
% Observations Single Male Single Female Couples
<disp-formula> U d </disp-formula> 100 100 100
<disp-formula> U t </disp-formula> 100 100 Male: 99.89Female: 99.86
Table 6
Elasticities and participation changes (10 % wage increase)
Increase of male wages Increase of female wages
Single Couple Single Couple
Male Male Female Female Male Female
Total elasticity 0.270 0.117 -0.072 0.210 -0.067 0.163
Intensive margin 0.049 0.068 -0.090 0.042 -0.087 0.106
Participation (entering, % of total) 1.791 0.506 0.193 1.388 0.214 0.548
Participation (leaving, % of total) 0.025 0.000 0.531 0.000 0.535 0.000
Table 7
Effects of the reforms on labour supply
Overview LS effects Param. Base Ref1 Ref2 Ref3
<disp-formula> A </disp-formula> 193.79 257.81 222.05 193.79
<disp-formula> θ 1 </disp-formula> 1577.89 1577.89 1577.89 1577.89
<disp-formula> θ 2 </disp-formula> 2461.27 2461.27 2590.07 2721.83
<disp-formula> ρ 1 </disp-formula> 21.94 29.18 21.94 16.94
<disp-formula> ρ 1 </disp-formula> 28.03 28.03 28.03 28.03
ΔLabour supply (FTE) +669 (+0.032%) +141 (+0.007%) -362 (-0.017%)
- Ext. margin (FTE) +1609 +895 +530
- Int. margin (FTE) -939 -754 -892
ΔParticipation +2024 (+0.093%) +1200 (+0.055%) +688 (+0.032%)
- people starting to work 2831 1697 964
- people stopping to work 807 497 276
ΔTotal gross labour income (M EUR) -190.2 (-0.217%) -166.3 (-0.190%) -105.3 (-0.120%)
- average gross wage change (EUR/h) -0.053 -0.041 -0.022
Table 8
Effects of the reforms on poverty and inequality
Poverty and Inequality Base Ref1 Ref2 Ref3
Gini 21.25 21.18 21.19 21.20
Poverty rate 10.37 10.20 10.22 10.26
Table 9
Effects of the reforms on budget balance (Million EUR)
Budget Balance Ref1 Ref2 Ref3
+Δ Social Security contrib. (static) -83.4 -82.4 -82.9
+Δ Personal Income Tax (static) -234.9 -233.2 -232.1
–Δ Benefits (static) -16.7 -15.9 -15.2
=Δ Budget balance (static)* -301.5 -299.7 -299.7
Additional impact following LS changes
+Δ Social Security contrib. -176.1 -168.8 -160.4
+Δ Personal Income Tax +40.9 +53.0 +82.3
–Δ Benefits -23.8 -17.8 -12.7
=Δ Budget balance (total)* -413.0 -397.7 -365.2
  1. *

    A negative balance corresponds to a deficit for the government.

Table 10
Net costs to increase labour supply (Thousand EUR)
Net costs Ref1 Ref2 Ref3
Cost / additional FTE 368.5 1660.1 -
Cost / additional participant 121.1 195.1 560.7

Data and code availability

Data is available for scientific research: https://www.euromod.ac.uk/using-euromod/access/data-permissions. The code is proprietary, with the executable available on demand.

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