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Long-Term Illness as an Occupational-Career Interruption: Gender Differences in the Determinants and Outcomes in Sweden Cover

Long-Term Illness as an Occupational-Career Interruption: Gender Differences in the Determinants and Outcomes in Sweden

Open Access
|Feb 2006

Figures & Tables

Table 1.

Descriptive statistics for the variables

VariableWomenaMenbMeanSDMeanSDEvent and duration variablesIllness0.0800.2710.0450.207Time in the labor force35.0214.8335.9914.28Dependent variableLog of monthly job income, 19989.5550.4009.8740.420Log of monthly job income, 19939.3360.3609.7230.335Job characteristicsWork full-time0.3020.4600.6190.486Blue collar job, 19930.1280.3340.1230.329College degree0.2950.4570.2580.428Age51.0214.8351.9914.28Age squared2822.41587.12906.71545.1Family characteristicsChild in the household, 19930.5940.4910.3770.485Single parent0.0440.2040.0240.154Spouse, 19930.7880.4090.8330.373an=1078 for all variables except log of income, 1993 (n=403) and log of income, 1998 (n=604).bn=1112 for all variables except log of income, 1993 (n=432) and log of income, 1998 (n=678).
Table 2.

Multivariate Cox proportional hazard model for likelihood of having an illness interruption for women and men

Model 1Model 2WomenMenWomenMenCovariatesRegression coefficientRobust standard errorsaHazard ratioRegression coefficientsRobust standard errorsHazard ratioRegression coefficientsRobust standard errorsaHazard ratioRegression coefficientsRobust standard errorsHazard ratioFamily characteristicsSpouse in 1993 (yes=1)0.0490.2961.050−0.5870.4170.556Child in household, 1993 (yes=1)0.516*0.2531.6751.6070.3494.986Single parent (yes=1)−0.9621.0420.3821.644*0.7275.177Job characteristicsWork full-time0.0170.2591.017−0.1480.3640.863College degree (yes=1)1.127***0.2303.0860.4110.3381.508Blue-collar job (yes=1)0.1530.3511.1650.6720.4471.957Wald χ25.10 (2 df)21.75 (2 df)25.67 (4 df)8.74 (4 df)Log-pseudolikelihood−533.743−300.596−524.498−308.930n1078111210781112aStandard errors are adjusted for sample size.***p<0.001, **p<0.01 one-tailed, *p<0.05 one-tailed.
Table 3.

Proportion of women and men experiencing illness interruption, according to cohort and having a child in the household

Have child in householdYesNoProportion experiencing an illnessCohortYoung (age 23–40 years, n=536) Women0.0900.128 Men0.0540.014Middle-aged (age 41–55 years, n=828) Women0.0630.080 Men0.0500.067Old (age 56+years, n=826) Women0.1050.052 Men0.0870.036
Table 4.

OLS Regressions with Robust Standard Errors of monthly job income, 1998 on illness controlling for family characteristics and job characteristics

CovariatesModel 1Model 2WomenMenWomenMenRegression coefficientsRobust standard errorsaRegression coefficientsRobust standard errorsRegression coefficientsRobust standard errorsaRegression coefficientsRobust standard errorsIllness (yes=1)−0.103*0.053−0.0680.076−0.092*0.046−0.5500.078Log of monthly job income0.859***0.0720.832***0.0530.727***0.0970.812***0.065Family characteristicsSpouse, 1993 (yes=1)−0.0610.064−0.0310.034Child in household, 1993 (yes=1)*child in household, 1996 (yes=1)0.0380.0320.0040.026Job characteristicsWork full-time (yes=1)0.062*0.0380.0350.042Blue collar job, 1993 (yes=1)−0.063*0.031−0.0490.030College degree (yes=1)0.112***0.0310.086**0.033Age0.0200.016−0.0050.014Age squared−0.0000.000−0.0000.000R-square0.6120.5770.6570.609Root MSE0.2420.2320.2310.227Constant1.5440.6841.8360.5172.3580.8862.2230.731n301347299388aStandard errors are clustered and are robust, Huber/White sandwich estimates.***p<0.001, **p<0.01 one-tailed, *p<0.05 one-tailed.
Language: English
Page range: 132 - 149
Published on: Feb 2, 2006
In partnership with: Paradigm Publishing Services

© 2006 Rachel E. Lovell, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.