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The Family 500+ benefit and changes in female employment in Poland Cover

The Family 500+ benefit and changes in female employment in Poland

Open Access
|Feb 2023

Figures & Tables

Figure 1

GDP share of family or child allowances in Poland and the EU (in percentages, 2000–2018)Note: ‘Family or child allowance’ is defined as periodical payments to a member of a household with dependent children to help with the costs of raising children (Eurostat, 2019, pp. 68–69)Source: Eurostat, ESSPROS database
GDP share of family or child allowances in Poland and the EU (in percentages, 2000–2018)Note: ‘Family or child allowance’ is defined as periodical payments to a member of a household with dependent children to help with the costs of raising children (Eurostat, 2019, pp. 68–69)Source: Eurostat, ESSPROS database

Figure 1A

Changes in the women's population (15–64) structure by age (in percentage points, 2015–2019)Source: Authors’ calculations using Eurostat data.
Changes in the women's population (15–64) structure by age (in percentage points, 2015–2019)Source: Authors’ calculations using Eurostat data.

Decomposition of changes in the employment-to-population ratio into labour supply and unemployment rate components (in log points, 2013–2015 and 2015–2019)

2013–2015
Age15–6415–2425–2930–3435–3940–4445–4950–5455–5960–64
Δln(EPR)0.0590.0870.0780.0390.0260.0110.0150.0480.1100.276
Δln(LFPR)0.021−0.0360.0120.015−0.006−0.015−0.0070.0290.0870.259
Δln(1-U)0.0380.1230.0660.0240.0320.0250.0220.0190.0220.016

Male employment-to-population ratio by age (in percents, 2013, 2015 and 2019)

Age15–6415–2425–2930–3435–3940–4445–4950–5455–5960–64
201366.628.680.986.687.585.080.374.364.436.1
201569.230.581.489.089.087.784.276.467.139.7
201975.335.488.792.391.791.387.981.172.550.8
Change in percentage points
2013–20152.61.80.52.31.52.63.82.12.83.6
2015–20166.15.07.33.42.73.73.84.75.311.0

Women's employment-to-population ratio by age (in percentages, 2013, 2015 and 2019)

Age15–6415–2425–2930–3435–3940–4445–4950–5455–5960–64
201353.419.564.670.174.276.675.467.446.913.7
201556.621.369.872.976.277.576.570.752.418.1
201961.127.869.973.275.481.581.476.362.019.9
Change in percentage points
2013–20153.21.85.22.82.00.81.23.35.44.4
2015–20194.56.50.10.3−0.84.04.95.79.71.8

Changes in the share of inactive women in the population by age and reasons for economic inactivity (in percentage points; 2013–2015, 2015–2019)

2013–2015
Age15–2425–3435–4445–5455–6415–64
Total0.9−0.90.8−0.6−3.2−1.0
Discouragement caused by inefficiency of job seeking−0.20.10.0−0.70.1−0.1
Education, training0.7−0.2...−0,5
Family and household responsibilities0.5−1.00.50.91.90.6
Retirement...−0.1−5.5−1.0
Illness, disability−0.10.10.2−0.70.30.0

Results of the shift-share analysis by age group (2013–2015, 2015–2019)

2013–2015
Age15–2425–2930–3435–3940–4445–4950–5455–5960–64Sum (15–64)
ΔEPR*s0.300.550.310.210.080.100.340.630.473.0
Δs*EPR−0.17−0.390.220.380.520.01−0.400.010.070.2
ΔEPR*Δs−0.02−0.030.010.010.010.00−0.020.000.02−0.0
Sum0.120.130.540.610.600.11−0.090.650.563.2
Contribution3.63.916.618.818.63.4−2.720.117.5100
DOI: https://doi.org/10.2478/ceej-2023-0002 | Journal eISSN: 2543-6821 | Journal ISSN: 2544-9001
Language: English
Page range: 23 - 34
Published on: Feb 14, 2023
Published by: Faculty of Economic Sciences, University of Warsaw
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2023 Krzysztof Bartosik, published by Faculty of Economic Sciences, University of Warsaw
This work is licensed under the Creative Commons Attribution 4.0 License.