Federal Institute for Population Research

Trends of Working Lifetime in Germany and Worldwide

Content and Objectives

The extent of the social challenges arising in Germany from the impending retirement of the baby boomers also depends to a large extent on how the employment of older people and thus the general working life will change in the future. Calculations on working life carried out in this research project allow detailed insights into the distribution of working life of different age groups according to birth cohorts and calendar years. Comparative analyses of birth cohorts provide important insights from a cohort perspective, whereas a major advantage of developments by calendar year is the longer availability of time series. Conceptually, the analysis of working life combines economic and demographic aspects in one indicator, which takes a different perspective to the frequently encountered analysis of the development of employment rates, for example. An important feature of the analyses is the weighting of employment rates with the normal weekly working hours. This aspect is important, for example, in the discussion about labour potential (keyword: part-time work).

In the context of a rising statutory retirement age and the increase in employment among older people, it is important to keep an eye on socio-economic differences in employment behaviour. Calculations based on microcensus data from 1996 to 2019 for Germany document a universal increase in the working life of 55 to 64-year-olds born between 1941 and 1955 for all groups analysed (differentiated by gender, place of residence East/West and education or occupation). Initial results of ongoing analyses on the development of working life by calendar year (1991-2021) show significant declines among younger people (15-24 years), increases among older people (55-74 years) and different developments in middle age (25-54 years) by region and gender. At European level, comparisons of trends in working life and healthy life expectancy - defined according to various health aspects - show a heterogeneous picture; there is still potential for longer labour market participation among 60- to 69-year-olds. In addition to observations of labour market participation, analyses of unpaid work and its change over time are also being sought. Data from the Federal Statistical Office's Time Use Survey allows, for example, the analysis of household activities, care and education work for children and other family members, as well as voluntary work. Research activities are currently focussed on Germany. There, the baby boomers are just reaching retirement age. Further comparative analyses with other countries are also planned for the future.

Data and Methods

For the analyses for Germany, information on employment status (employed, unemployed, inactive) and weekly working hours (hours normally worked as well as desired hours) is evaluated according to age and survey year (period analysis) or age and year of birth (cohort analysis). Data for this is based on the microcensus (1991-2022). The data from the microcensus is not only characterised by its high representativeness and the size of the annual data sets, which enable a gender-specific and regionally (east/west) as well as socially differentiated view (by educational and occupational groups). A further added value is the availability of information on the hours normally worked and the desired weekly working hours. Methodologically, mainly life table calculations and decomposition methods are used. Data from the time use survey is available for the years 1991/1992, 2001/2002 and 2012/2013 via the Research Data Centre of the Federal Statistical Office. A new survey is currently being conducted. For the international comparative analyses of working life, the Sullivan method is used, in which labour force participation rates are combined with mortality data. Aggregate data from the EU Labour Force Survey (LFS), microdata from the Survey of Health, Ageing and Retirement in Europe (SHARE) and mortality data from the Human Mortality Database are used for this purpose.

Duration

08/2018–12/2021

Partners

  • Dr. Christian Dudel and Prof. Dr. Mikko Myrsklä, Max-Planck-Institut for Demographic Research (MPIDR), Rostock, Germany

Selected Publications

Dudel, Christian; Loichinger, Elke; Klüsener, Sebastian; Sulak, Harun; Myrskylä, Mikko (2023):

N-IUSSP.

Dudel, Christian; Loichinger, Elke; Klüsener, Sebastian; Sulak, Harun; Myrskylä, Mikko (2023):

Demography 60(4): 1115–1137.

Backhaus, Andreas; Barslund, Mikkel (2021):

European Economic Review 137.

Loichinger, Elke; Klüsener, Sebastian (2021):

DAV-Kompass: 12–13.

Loichinger, Elke; Weber, Daniela (2020):

Jagger, Carol; Crimmins, Eileen M.; Saito, Yasuhiko; Tiene De Carvalho Yokota, Renata; Van Oyen, Herman; Robine, Jean-Marie (Eds.): International Handbook of Health Expectancies. International Handbooks of Population book series (IHOP, volume 9): 249–261.

More Publications

Loichinger, Elke; Klüsener, Sebastian (2020):

Bevölkerungsforschung Aktuell 1/2020: 3–7.

Bundesinstitut für Bevölkerungsforschung (Ed.) (2019):

Policy Brief, September 2019.