Table 3

The likelihood of exit from the labour market for different age groups and benefit receipt in the exit year

Exit ageLabour market exit in different ages and with or without benefit receipt in the exit year
606162–646566–67After 67
BenefitsWithoutWithWithoutWithWithoutWithWithoutWithWithoutWithout
(1)(2)(3)(4)(5)(6)(7)(8)(9)(10)
Labour market attachment measures
Employment status at age 30
Worked 1–34 h per weekref. cat
Worked 35+ hours per week−0.0000.0000.002*−0.001−0.001−0.005**0.001−0.0010.0010.004
(0.001)(0.001)(0.001)(0.001)(0.003)(0.002)(0.003)(0.002)(0.004)(0.005)
Student−0.0020.001−0.005**0.000−0.023***−0.009*−0.018***0.0020.016**0.036***
(0.002)(0.002)(0.002)(0.002)(0.006)(0.005)(0.006)(0.004)(0.007)(0.009)
Not employed0.0010.000−0.0010.0020.0020.008**0.007*0.005**0.005−0.028***
(0.001)(0.001)(0.001)(0.001)(0.004)(0.003)(0.004)(0.002)(0.005)(0.006)
N.A. during the period−0.003**−0.000−0.000−0.002−0.040***−0.0010.0060.014***0.023***0.003
(0.001)(0.002)(0.002)(0.002)(0.005)(0.005)(0.007)(0.004)(0.008)(0.010)
Between the ages of 40–49
Always employedref. cat
Employed more than 5 consecutive years−0.0010.002−0.003*0.001−0.031***0.008***−0.013***0.008***0.0010.027***
(0.001)(0.001)(0.001)(0.001)(0.004)(0.003)(0.004)(0.002)(0.005)(0.006)
Employed less than 5 consecutive years0.0010.003*−0.0020.002−0.036***0.004−0.0040.013***0.0050.014
(0.002)(0.002)(0.002)(0.002)(0.005)(0.004)(0.006)(0.004)(0.007)(0.009)
Not employed in the period0.0090.005−0.0010.003−0.018−0.017*−0.024−0.0060.0220.027
(0.008)(0.005)(0.008)(0.005)(0.021)(0.010)(0.019)(0.009)(0.024)(0.031)
N.A. during the period0.0020.001−0.0020.001−0.022***0.001−0.0010.011**0.0020.007
(0.003)(0.002)(0.003)(0.003)(0.009)(0.006)(0.008)(0.005)(0.010)(0.013)
Between the ages of 50–59
Always employedref. cat
Employed more than 5 consecutive years0.002**0.020***−0.0010.019***−0.037***0.049***−0.034***0.008***−0.030***0.003
(0.001)(0.002)(0.001)(0.002)(0.004)(0.004)(0.003)(0.003)(0.004)(0.006)
Employed less than 5 consecutive years0.003*0.036***0.0010.018***−0.038***0.064***−0.041***0.026***−0.011−0.058***
(0.002)(0.004)(0.003)(0.003)(0.006)(0.006)(0.005)(0.005)(0.007)(0.010)
Not employed in the period−0.0010.015**−0.0050.019***−0.067***0.051***−0.078***−0.0050.0120.059***
(0.003)(0.006)(0.005)(0.007)(0.010)(0.014)(0.008)(0.007)(0.018)(0.023)
N.A. during the period0.009*0.007*0.014*0.0000.027*0.010−0.023**−0.013***−0.011−0.020
(0.005)(0.004)(0.008)(0.003)(0.015)(0.009)(0.010)(0.004)(0.013)(0.018)
Individual-level controls
Gender
Maleref. cat
Female−0.002***0.003***0.004***0.005***0.019***0.020***0.012***0.018***0.004−0.084***
(0.001)(0.001)(0.001)(0.001)(0.002)(0.002)(0.002)(0.001)(0.003)(0.004)
Educational attainment
Primary educationref. cat
Secondary education0.001−0.002**0.004***−0.006***−0.004−0.019***−0.010***−0.012***0.012***0.036***
(0.001)(0.001)(0.001)(0.001)(0.003)(0.002)(0.003)(0.002)(0.003)(0.004)
Higher education−0.002**−0.008***−0.002−0.011***−0.026***−0.048***−0.038***−0.028***0.010***0.153***
(0.001)(0.001)(0.001)(0.001)(0.003)(0.002)(0.003)(0.002)(0.004)(0.005)
Swedish background
Native bornref. cat
Foreign born−0.0010.002−0.0020.006**0.0000.012**0.0070.0060.028***−0.058***
(0.002)(0.002)(0.002)(0.003)(0.007)(0.006)(0.007)(0.004)(0.009)(0.011)
Childhood conditions
Overcrowded house
Non-crowded houseref. cat
Crowded house0.001−0.000−0.002−0.0010.0040.008***0.006*0.003*−0.001−0.018***
(0.001)(0.001)(0.001)(0.001)(0.003)(0.002)(0.003)(0.002)(0.003)(0.004)
N.A.0.0110.004−0.009−0.0010.010−0.004−0.039**−0.0050.0210.013
(0.007)(0.006)(0.006)(0.006)(0.018)(0.014)(0.015)(0.010)(0.022)(0.028)
Occupation sector of the household head
Industry, trade, transport and servicesref. cat
Agriculture, forestry, etc.−0.004***−0.003***−0.005***−0.004***−0.033***−0.018***−0.024***−0.006***−0.043***0.140***
(0.001)(0.001)(0.001)(0.001)(0.003)(0.002)(0.003)(0.002)(0.004)(0.005)
Entrepreneurs in the liberal professions−0.0020.006−0.005−0.005−0.007−0.027***−0.009−0.022***−0.0140.085***
(0.003)(0.005)(0.003)(0.003)(0.011)(0.008)(0.011)(0.005)(0.013)(0.017)
Business supervisors, technicians, etc.0.0010.0000.002*−0.0010.007***−0.008***−0.004−0.005***−0.0050.012***
(0.001)(0.001)(0.001)(0.001)(0.003)(0.002)(0.003)(0.002)(0.003)(0.004)
Military0.0040.0040.0010.003−0.004−0.020**0.0000.005−0.0060.012
(0.004)(0.005)(0.004)(0.005)(0.011)(0.008)(0.011)(0.007)(0.013)(0.017)
Not employed−0.003*0.003−0.005**−0.001−0.0030.003−0.012**0.007*−0.0070.018*
(0.002)(0.002)(0.002)(0.002)(0.006)(0.005)(0.006)(0.004)(0.007)(0.010)
N.A.−0.005−0.0020.013−0.002−0.0180.0050.049*0.006−0.040**−0.006
(0.003)(0.005)(0.015)(0.007)(0.017)(0.017)(0.026)(0.013)(0.020)(0.030)
Observations93,50693,50693,50693,50693,50693,50693,50693,50693,50693,506

Note(s): The table shows marginal effects generated using multinomial probit model. The population includes individuals born in 1950, registered in Sweden in all years between 2010 and 2018, and with at least one month of income statement in a year between 2010 and 2018 (n = 93,506). Standard errors in parentheses. ***p < 0.01, **p < 0.05, *p < 0.1

Source(s): Author's calculations based on Swedish national registers

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