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Expectations of older workers regarding their exit from the labour market and its realization Cover

Expectations of older workers regarding their exit from the labour market and its realization

Open Access
|Jul 2022

Figures & Tables

Table 1

Descriptive Statistics of the Sample of SHARE Data

CzechiaGermanyAll other countries
Average expectations of working at the age of 63 (%)48.1745.3943.77
(37.87)(39.97)(38.52)
Share of respondents with high expectations of working1 (%)35.1434.4431.96
(46.00)(47.16)(45.27)
Expected statutory retirement age61.26463.4
(2.21)(2.11)(2.89)
Share of employed0.7300.8070.774
(0.347)(0.330)(0.335)
Average age56.9856.7956.98
(3.347)(3.524)(3.561)
White-collar occupation20.5950.7240.668
(0.486)(0.442)(0.466)
Primary education0.07000.004690.107
(0.255)(0.0684)(0.309)
Lower secondary0.2990.06060.155
(0.458)(0.239)(0.361)
Higher secondary0.4550.5370.368
(0.498)(0.499)(0.482)
Tertiary education0.1760.3980.370
(0.381)(0.490)(0.483)
Share of respondents with some health limitation in their daily activities0.3150.3260.236
(0.372)(0.368)(0.339)
Observations2,0712,34424,793

Note: Standard deviations are given in parentheses.

1 The high expectations of working are those responses that reported values for the probability of working greater than 75%.

2 The types of occupations with ISCO code 1 to 5.

Figure 1

Employment Rate in the 55–64 Age Group as a Percent of the Population in the Czech Republic

Source: Eurostat (LFS, Employment and activity by sex and age)

Figure 2

Share of Employed People for a Given Age in Years 2007 and 2017 in the Czech Republic

Note. For comparison purposes, there also are data for Germany in 2017.

Source: SHARE waves 2, 4, 5, 6, and 7 (own calculations)

Figure 3

Proportion of Employed in Relation to the Subjective Expected Age of Receiving a Retirement Pension

Source: SHARE waves 2, 4, 5, 6, and 7 (own calculations)

Figure 4

Employment Rates of Respondents With Limitations in Daily Activities Across Respondents’ Ages (Czech Republic and Germany)

Source: SHARE waves 2, 4, 5, 6, and 7 (own calculations)

Figure 5

Employment Rate for Highly vs. Low-skilled Men Across Respondents’ Ages in 2007 and 2017 in the Czech Republic

Note. For comparison purposes, there also are data for Germany in 2017.

Source: SHARE waves 2, 4, 5, 6, and 7 (own calculations)

Figure 6

Share of Individuals with High Expectations of Working at the Age of 63 (International Comparison).

Source: SHARE waves 2, 4, 5, 6, and 7 (own calculations)

Figure 7

Share of Individuals With High Expectations of Working at the Age of 63, by the Type of Occupation and the Highest Level of Educational Attainment (Men)

Source: SHARE waves 2, 4, 5, 6, and 7 (own calculations)

Figure 8

Share of Those Actually Working of Those Who Declared a High Expectation of Working in the Previous Period

Note: The figure shows the average values together for working women and men.

Source: SHARE waves 2, 4, 5, 6, and 7 (own calculations)

Table 2

Differences in Unplanned Retirement Across Countries Compared to Sweden and Possible Factors That Explain These Differences (Linear Probability Model)*

(1)(2)(3)(4)
Czech Republic0.421***0.383***0.374***0.245***
(0.028)(0.028)(0.028)(0.030)
Germany0.096***0.107***0.097***0.077***
(0.028)(0.028)(0.028)(0.028)
Denmark0.0100.0130.0080.030
(0.027)(0.026)(0.026)(0.026)
Italy0.173***0.123***0.112***0.053
(0.033)(0.033)(0.033)(0.033)
Spain0.094***0.0260.0140.013
(0.031)(0.032)(0.032)(0.032)
France0.265***0.240***0.233***0.127***
(0.037)(0.037)(0.037)(0.037)
Belgium0.160***0.166***0.161***0.134***
(0.032)(0.032)(0.032)(0.031)
The Netherlands0.095*0.087*0.102**0.117**
(0.050)(0.049)(0.049)(0.048)
Control variablesXXX
Education and occupation
XX
Health status
Expected retirement ageX
YearXXXX
Number of observations3255325532553255
R20.0860.1070.1120.145

* Dependent variable in all regressions is a binary variable, and hence, it would be more appropriate to apply the probit model. We present results for the probit model in the Appendix in Table A2, and show that these results are in line with the ones using the linear probability model. Therefore, due to a clearer interpretation of the results, we chose the linear probability model for our analysis in the main text. The full linear probability model is in the Appendix in Table A3.

Notes: The results correspond to the model described in Equation (1).

*** p <0.01;

** p <0.05;

* p <0.1.

Figure 9

Reasons for Which Respondents Retired

Source: SHARE Waves 1, 2, 4, 5, and 6 (own calculations)

Figure A1

Share of Age Groups of Men in Newly Granted Old-age Pensions, Year 2018 (Czech Republic)

Note: Figure values are expressed for regular and early retirement

Source: Own calculations based on the statistical yearbook (CSSA)

Table A1

Descriptive Statistics, All Countries

GermanyCzechiaSwedenDenmarkItalySpainFranceBelgiumThe Netherlands
Average expectations of working at the age of 63 (%)38.9645.2651.9341.8941.1355.4417.9022.0319.61
(41.67)(40.45)(41.00)(41.32)(40.61)(38.69)(31.51)(34.56)(33.85)
Share of respondents with high expectations of working (%)30.4634.3844.1334.083143.6511.2815.2615.22
(46.05)(47.53)(49.68)(47.42)(46.29)(49.64)(31.65)(35.98)(35.96)
Share of employed0.4380.1850.6670.4740.3670.5040.1600.2250.280
(0.496)(0.389)(0.471)(0.500)(0.482)(0.500)(0.367)(0.418)(0.450)
White-collar occupation0.7340.5820.8240.7970.5820.5280.7010.7070.783
(0.442)(0.494)(0.381)(0.402)(0.494)(0.500)(0.458)(0.455)(0.413)
Primary education00.07700.07210.03790.2420.3540.2120.1000.0676
(0)(0.267)(0.259)(0.191)(0.428)(0.479)(0.409)(0.301)(0.251)
Lower secondary education0.07610.3200.1650.07020.2430.2680.07930.2190.321
(0.265)(0.467)(0.371)(0.256)(0.429)(0.443)(0.270)(0.414)(0.468)
Higher secondary education0.4680.4270.2960.3830.3230.1720.4050.3170.266
(0.499)(0.495)(0.457)(0.486)(0.468)(0.377)(0.491)(0.465)(0.442)
Tertiary education0.4560.1770.4670.5090.1920.2060.3040.3640.345
(0.498)(0.382)(0.499)(0.500)(0.394)(0.405)(0.460)(0.481)(0.476)
Expected retirement age63.761.264.265.462646062.365.05
(2.08)(2.19)(2.00)(1.26)(3.31)(2.67)(2.43)(2.77)(1.67)
Good health0.4230.4540.5590.5320.4380.4200.4920.5430.754
(0.494)(0.498)(0.497)(0.499)(0.497)(0.494)(0.500)(0.498)(0.431)
Observations7887018188986005598071055414
Table A2

Differences in Unplanned Retirement Across Countries Compared to Sweden and Possible Factors That Explain These Differences (Probit Estimation of Main Model).

Probit(1)(2)(3)(4)
Czech Republic1.143***1.054***1.035***0.658***
(0.082)(0.084)(0.085)(0.092)
Germany0.302***0.341***0.316***0.259***
(0.084)(0.086)(0.087)(0.088)
Denmark0.0360.0500.0380.119
(0.083)(0.084)(0.084)(0.085)
Italy0.510***0.377***0.348***0.151
(0.096)(0.098)(0.099)(0.102)
Spain0.294***0.1070.0710.068
(0.092)(0.098)(0.098)(0.100)
France0.746***0.691***0.673***0.347***
(0.106)(0.108)(0.108)(0.115)
Belgium0.478***0.505***0.495***0.414***
(0.094)(0.095)(0.095)(0.097)
The Netherlands0.298**0.288**0.335**0.407***
(0.146)(0.146)(0.147)(0.147)
Lower secondary education−0.166*−0.184*−0.195*
(0.100)(0.100)(0.102)
Higher secondary education−0.235**−0.252***−0.266***
(0.095)(0.096)(0.097)
Tertiary education−0.549***−0.559***−0.523***
(0.099)(0.099)(0.101)
White-collar occupation−0.103*−0.102*−0.113*
(0.058)(0.058)(0.059)
Good health−0.214***−0.204***
(0.048)(0.048)
Expected retirement age−0.154***
(0.014)
_cons−0.817***−0.381***−0.252**9.653***
(0.057)(0.102)(0.107)(0.935)
N3255325532553255
R2

Note: Standard errors in parentheses.

* p < 0.1;

** p < 0.05;

*** p < 0.01.

Table A3

Differences in Unplanned Retirement Across Countries Compared to Sweden and Possible Factors That Explain These Differences (LPM)

(1)(2)(3)(4)
Czech Republic0.421***0.383***0.374***0.245***
(0.028)(0.028)(0.028)(0.030)
Germany0.096***0.107***0.097***0.077***
(0.028)(0.028)(0.028)(0.028)
Denmark0.0100.0130.0080.030
(0.027)(0.026)(0.026)(0.026)
Italy0.173***0.123***0.112***0.053
(0.033)(0.033)(0.033)(0.033)
Spain0.094***0.0260.0140.013
(0.031)(0.032)(0.032)(0.032)
France0.265***0.240***0.233***0.127***
(0.037)(0.037)(0.037)(0.037)
Belgium0.160***0.166***0.161***0.134***
(0.032)(0.032)(0.032)(0.031)
The Netherlands0.095*0.087*0.102**0.117**
(0.050)(0.049)(0.049)(0.048)
Lower secondary education−0.060*−0.066*−0.060*
(0.035)(0.035)(0.034)
Higher secondary Education−0.086***−0.092***−0.085***
(0.033)(0.033)(0.032)
Tertiary education−0.189***−0.191***−0.166***
(0.034)(0.034)(0.033)
White-collar occupation−0.038*−0.038*−0.041**
(0.020)(0.020)(0.020)
Good health−0.071***−0.067***
(0.016)(0.016)
Expected retirement age−0.049***
(0.004)
_cons0.207***0.367***0.412***3.537***
(0.018)(0.035)(0.036)(0.280)
N3255325532553255
R20.0860.1070.1120.145

Note: Standard errors in parentheses.

* p < 0.1;

** p < 0.05;

*** p < 0.01.

DOI: https://doi.org/10.2478/ceej-2022-0007 | Journal eISSN: 2543-6821 | Journal ISSN: 2544-9001
Language: English, German
Page range: 93 - 112
Published on: Jul 13, 2022
Published by: Faculty of Economic Sciences, University of Warsaw
In partnership with: Paradigm Publishing Services
JEL:

© 2022 Filip Pertold, Miroslava Federičová, published by Faculty of Economic Sciences, University of Warsaw
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.