1. Labour supply and demand
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Estimating and simulating with a random utility random opportunity model of job choice. Presentation and application to Belgium

  1. Bart Capéau  Is a corresponding author
  2. André Decoster  Is a corresponding author
  3. Gijs Dekkers  Is a corresponding author
  1. Department of Economics, KU Leuven, Belgium
  2. Federal Planning Bureau, Belgium
Research article
Cite this article as: B. Capéau, A. Decoster, G. Dekkers; 2016; Estimating and simulating with a random utility random opportunity model of job choice. Presentation and application to Belgium; International Journal of Microsimulation; 9(2); 144-191. doi: 10.34196/ijm.00139
11 figures and 10 tables

Figures

Peak distribution for labour time regimes.
Impact of education level on steepness of indifference curves.
Estimated wage offer distributions and education.
Estimated distribution of offered labour time regimes.
Job offer intensity in function of education and age specific unemployment rate.
Fit disposable income for couples.
Fit wages males (left) and females (right) in couples.
Fit labour time males (left) and females (right) in couples.
Fit disposable income single males (left) and single females (right).
Fit wages single males (left) and females (right).
Fit labour time regimes single males (left) and single females (right).

Tables

Table 1
Descriptive statistics for the estimation sample.
Singles Couples
Description Female Male Female Male
Age (years) 41.1 39.93 38.08 40.22
% hh having 0–3 year old children 5.78% 0.45% 18.67%
% hh having 4–6 year old children 9.46% 0.89% 17.16%
% hh having 7–9 year old children 10.16% 1.78% 18.19%
Education:
 Lowly educated 22.8% 24.5% 16.8% 19.8%
 Secondary education 34.6% 41.9% 38.5% 39.0%
 Highly educated 42.6% 33.6% 44.7% 41.2%
Residence:
 Brussels 19.8% 21.2% 9.3%
 Flanders 44.1% 45.2% 58.5%
 Wallonia 36.1% 33.6% 32.3%
Participation rate (%) 68.12 78.84 79.40 93.20
Hours worked/week:
Conditional on working 35.88 39.69 32.50 40.84
Unconditional 24.45 31.29 25.81 38.06
Hourly wage (euro) 14.91 15.20 14.73 16.25
Disposable income (€ /month) 1567 1588 3143
Number of observations 571 449 1457
  1. Source: Own Calculations, eu-silc 2007.

Table 2
Type specific unemployment rates (%).
Male Female
Education level Education level
Age group Low Middle High Low Middle High
15 to 24 years 26.4 14.0 12.3 33.6 22.1 11.0
25 to 29 years 19.0 7.6 6.9 29.7 13.1 4.8
30 to 34 years 18.0 6.6 3.1 23.5 9.3 3.3
35 to 39 years 11.6 5.3 2.0 21.2 6.9 3.2
40 to 44 years 9.5 4.2 2.9 12.2 6.2 3.0
45 to 49 years 7.4 2.8 2.7 9.3 5.8 2.4
50 to 54 years 7.0 3.7 2.3 10.1 7.0 3.5
55 to 64 years 4.7 3.0 3.0 5.8 7.8 5.3a
  1. a

    The exact figure is lacking. The average across all education levels for that age class is taken.

  2. Source: Eurostat unemployment rates by sex, age and educational attainment level (%), Belgium 2007, http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=lfsa_urgaed&lang=en, downloaded in October 2013.

Table 3
Model specification.
Preferences Opportunities
xV xopp xh xw
variable job offers hours wages
Regional dummiesa yes yes no no
Education dummiesb yes yes no yes
Age yes no no no
Group specific unemployment rate no yes no no
Number of children yes no no no
Gender yes yes yes yes
Potential experience no no no yes
  1. a

    Brussels, Flanders, Wallonia.

  2. b

    Low, Middle, High.

Table 4
Aggregate wage elasticity of labour supply.
Shift of female wage distribution Shift of male wage distribution
Couple Single Couple Single
Female Male Female Male Female Male
Total elasticity 0.6445 -0.1734 0.6877 -0.2014 0.3304 0.4569
Intensive margin 0.2162 -0.2222 0.1257 -0.2584 0.1365 0.0944
Part in 3.157% 0.480% 3.327% 0.549% 1.716% 2.895%
Part out 0.000% 1.647% 0.000% 1.579% 0.000% 0.000%
Table 5
Education level distribution by age and sex.
Education level Low Middle High
Scenario baseline counterfactual baseline counterfactual baseline counterfactual
Age males
15 – 25 21.20% 20.10% 40.15% 39.90% 38.65% 39.99%
26 – 30 27.42% 19.84% 41.27% 40.00% 31.31% 40.16%
31 – 35 27.27% 19.44% 40.41% 40.13% 32.32% 40.43%
36 – 40 27.66% 20.47% 40.22% 39.75% 32.11% 39.78%
41 – 45 26.87% 19.80% 39.22% 40.24% 33.92% 39.96%
46 – 50 26.62% 20.33% 39.68% 39.97% 33.71% 39.70%
51 – 55 26.12% 20.50% 38.15% 39.84% 35.73% 39.67%
56 – 60 25.35% 20.15% 38.79% 39.95% 35.86% 39.90%
61 – 65 24.15% 19.96% 38.66% 39.70% 37.18% 40.33%
all 27.27% 20.90% 41.54% 41.42% 31.19% 37.68%
females
15 – 25 20.36% 20.21% 40.23% 40.12% 39.41% 39.68%
26 – 30 20.22% 19.51% 39.77% 40.38% 40.01% 40.11%
31 – 35 18.71% 20.26% 38.09% 40.12% 43.20% 39.62%
36 – 40 19.77% 19.31% 38.35% 39.69% 41.89% 41.00%
41 – 45 19.61% 20.14% 38.03% 39.68% 42.36% 40.19%
46 – 50 19.35% 20.46% 38.27% 39.58% 42.38% 39.96%
51 – 55 19.14% 20.12% 38.03% 38.80% 42.83% 41.08%
56 – 60 20.03% 19.33% 38.73% 40.48% 41.24% 40.19%
61 – 65 19.46% 20.11% 39.01% 39.80% 41.53% 40.09%
all 20.52% 20.79% 40.26% 41.17% 39.22% 38.04%
  1. Source: midas implemented scenarios for baseline coinciding with 2007 and counterfactual aiming at a catch-up of female’s higher education level than males’ in the baseline, by 2050.

Table 6
Participation and mean labour time by age class in baseline and counterfactual.
Age 15 – 25 26 – 30 31 – 35 36 – 40 41 – 45 46 – 50 51 – 55 56 – 60 61 – 65 all
Couples: males
n obs 68 182 247 290 243 132 148 90 16 1457
part baseline 89.7% 90.1% 88.7% 94.1% 92.2% 94.8% 93.2% 74.4% 87.5% 90.9%
part counterf. 89.7% 92.3% 89.1% 94.5% 93.4% 96.0% 93.2% 80.0% 87.5% 92.0%
h baseline 33.4 34.3 35.9 38.8 37.2 38.3 37.4 28.2 35.8 36.4
h counterf. 33.4 35.1 36.2 39.0 37.6 38.6 37.2 30.2 35.8 36.7
Couples: females
n obs 124 241 264 260 230 172 99 58 9 1457
part baseline 74.2% 78.8% 73.5% 78.8% 82.2% 80.8% 73.7% 72.4% 55.6% 77.5%
part counterf. 73.4% 77.2% 73.5% 78.1% 81.3% 80.2% 75.8% 69.0% 55.6% 76.8%
h baseline 24.3 25.4 23.2 24.7 26.0 24.9 20.9 22.7 18.1 24.4
h counterf. 24.2 24.7 23.0 24.4 25.6 24.3 21.6 22.1 18.1 24.0
Singles: females
n obs 43 59 83 97 89 82 55 51 12 571
part baseline 58.1% 69.5% 69.9% 66.0% 65.2% 79.3% 80.0% 70.6% 50.0% 69.5%
part counterf. 58.1% 69.5% 68.7% 66.0% 65.2% 78.0% 80.0% 70.6% 50.0% 69.2%
h baseline 18.4 23.6 27.1 23.6 21.9 27.1 24.8 21.8 14.3 23.7
h counterf. 18.4 23.6 26.6 23.6 21.9 26.8 24.8 21.8 14.3 23.6
Singles: males
n obs 46 60 67 68 54 65 46 33 10 449
part baseline 80.4% 88.3% 91.0% 77.9% 85.2% 87.7% 67.4% 72.7% 50.0% 80.6%
part counterf. 80.4% 83.3% 92.5% 85.3% 87.0% 87.7% 69.6% 72.7% 60.0% 83.1%
h baseline 31.5 30.3 34.6 30.0 32.8 33.2 23.3 25.2 18.5 30.4
h counterf. 31.5 32.1 35.1 34.2 33.6 33.3 24.7 25.2 22.1 31.7
Table 7
Impact of education through preferences and opportunities.
Couple Single
Males Females Males Females
n obs 1457 1457 449 571
part base 90.87% 77.48% 80.62% 69.53%
part alt pref 90.94% 77.62% 81.51% 69.53%
part alt opp 91.90% 76.94% 82.85% 69.35%
part counterf. 91.97% 76.80% 83.07% 69.17%
h base 36.35 24.35 30.37 23.72
h alt pref 36.27 24.32 30.82 23.72
h alt opp 36.78 24.12 31.38 23.67
h counterf. 36.73 24.04 31.67 23.60
Table A1
Preferences couples.
Log likelihood −8482.1758
Description Estimate Standard Error t-value
1.a) Consumption & leisure interaction M&F
Consumption Couples exponent 0.610 0.051 11.96
Consumption Couples constant 4.873 0.310 15.70
Leisure interaction M&F.in couples 0.206 0.077 2.69
Consumption single M exponent 0.292 0.123 2.38
Consumption single M constant 4.740 0.395 12.00
Consumption single F exponent 0.049 0.149 0.33
Consumption single F constant 4.181 0.338 12.36
1.b) Leisure coefficients males in couples
Leisure M in couples exponent −8.351 0.663 −12.59
Leisure M in couples constant 20.959 7.880 2.66
Leisure M in couples ln(age) −11.339 4.321 −2.62
Leisure M in couples ln(age)2 1.591 0.601 2.65
Leisure M in couples ch03 0.007 0.059 0.12
Leisure M in couples ch36 0.078 0.063 1.23
Leisure M in couples ch69 −0.009 0.058 −0.15
Leisure M in couples dum region Walloona 0.132 0.068 1.94
Leisure M in couples dum region Brusselsa 0.168 0.112 1.49
Leisure M in couples dum education LOWb −0.174 0.085 −2.05
Leisure M in couples dum education HIGHb −0.078 0.060 −1.31
1.c) Leisure coefficients females in couples
Leisure F in couples exponent −6.995 0.502 −13.93
Leisure F in couples constant 32.068 14.700 2.18
Leisure F in couples ln(age) −18.521 8.368 −2.21
Leisure F in couples ln(age)2 2.879 1.197 2.40
Leisure F in couples ch03 0.550 0.179 3.08
Leisure F in couples ch36 0.533 0.187 2.84
Leisure F in couples ch69 0.426 0.191 2.23
Leisure F in couples dum region Walloona 0.302 0.173 1.74
Leisure F in couples dum region Brusselsa 0.062 0.247 0.25
Leisure F in couples dum education LOWb 0.612 0.331 1.85
Leisure F in couples dum education HIGHb −0.753 0.183 −4.10
  1. a

    Flanders region is reference category.

  2. b

    Middle education level is reference category.

Table A2
Preferences singles.
Description Estimate Standard Error t-value
1.d) Leisure coefficients single males
Leisure single M exponent −5.444 1.002 −5.43
Leisure single M constant 36.394 23.737 1.53
Leisure single M ln(age) −20.375 13.239 −1.54
Leisure single M ln(age)2 3.024 1.865 1.62
Leisure single M ch36 −0.457 1.112 −0.41
Leisure single M ch69 −1.135 0.698 −1.63
Leisure single M dum region Walloona 0.951 0.425 2.24
Leisure single M dum region Brusselsa 0.262 0.372 0.70
Leisure single M dum education LOWb −0.581 0.387 −1.50
Leisure single M dum education HIGHb −0.502 0.335 −1.50
1.e) Leisure coefficients single females
Leisure single F exponent −7.688 0.977 −7.87
Leisure single F constant 62.678 23.311 2.69
Leisure single F ln(age) −34.609 12.929 2.68
Leisure single F ln(age)2 4.876 1.809 2.70
Leisure single F ch03 0.838 0.502 1.67
Leisure single F ch36 0.128 0.239 0.54
Leisure single F ch69 −0.141 0.196 −0.72
Leisure single F dum region Walloona 0.212 0.199 1.06
Leisure single F dum region Brusselsa −0.258 0.188 −1.37
Leisure single F dum education LOWb 0.133 0.326 0.41
Leisure single F dum education HIGHb −0.616 0.217 −2.84
  1. a

    Flanders region is reference category;

  2. b

    Middle education level is reference category.

Table A3
Opportunities, relative intensity of market alternatives, peaks hours, and wage offer distribution.
Description Estimate Standard Error t-value
2.a) Estimated coefficients opportunities & peaks males
Opportunity M constant −4.488 0.247 −18.19
Opportunity M unemployment rate 0.338 0.226 1.50
Opportunity M dummy region Walloona −0.547 0.223 −2.45
Opportunity M dummy region Brusselsa −1.215 0.285 −4.27
Opportunity M dummy LOW educationb −0.987 0.277 −3.56
Opportunity M dummy HIGH educationb 0.049 0.265 0.19
Peaks M <18.5,20.5> interval 0.643 0.229 2.81
Peaks M <29.5,30.5> interval 0.862 0.189 4.55
Peaks M <37.5,40.5> interval 2.690 0.060 45.17
2.b) Estimated coefficients opportunities & peaks females
Opportunity F constant −4.300 0.185 −23.19
Opportunity F unemployment rate −0.072 0.124 −0.58
Opportunity F dummy region Walloona −0.394 0.157 −2.51
Opportunity F dummy region Brusselsa −0.783 0.219 −3.58
Opportunity F dummy LOW educationb −0.339 0.217 −1.56
Opportunity F dummy HIGH educationb 0.522 0.195 2.68
Peaks F <18.5,20.5> interval 1.636 0.100 16.42
Peaks F <29.5,30.5> interval 1.804 0.108 16.69
Peaks F <37.5,40.5> interval 2.206 0.070 31.36
3. Estimated coefficients wage equations
3.a) Wage equation males
Wage M σ 0.264 0.004 60.63
Wage M constant 2.066 0.029 72.00
Wage M potential experience 2.297 0.244 9.41
Wage M potential experience2 −3.110 0.545 −5.71
Wage M LOW educationb −0.147 0.019 −7.79
Wage M HIGH educationb 0.260 0.015 17.39
3.b) Wage equation females
Wage F σ 0.261 0.004 59.05
Wage F constant 2.043 0.026 77.61
Wage F potential experience 2.457 0.239 10.30
Wage F potential experience2 −3.869 0.592 −6.54
Wage F LOW educationb −0.095 0.023 −4.08
Wage F HIGH educationb 0.291 0.016 18.61
  1. a

    Flanders region is reference category;

  2. b

    Middle education level is reference category.

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