Möhring, Katja, Clara Overweg and Andreas P. Weiland (2025): The Motherhood Penalty in Financial Resources for Retirement: A Life Course Perspective on the Accumulation of Public Pension Wealth and Personal Wealth in East and West Germany. Jahrbücher für Nationalökonomie und Statistik.
Möhring, Katja and Andreas P. Weiland (2025): Longitudinal and life course analyses with individual panel data, p. 164-178 in Ebbinghaus, Bernhard & Nelson, Moira (Eds.): Handbook on Welfare State Reform. Edward Elgar Publishing. Cheltenham, UK.
Möhring, Katja, Andreas P. Weiland, Maximiliane Reifenscheid, Michaela Dreier and Patricia Steins (2025): Inequality in employment trajectories and their consequences for subjective job security and satisfaction during the COVID-19 pandemic in Germany. Social Indicators Research: The impact of the COVID-19 effects on individuals’ subjective well-being (Special Issue).
Kapelle, Nicole and Andreas P. Weiland (2025): Intra-couple gaps in personal net wealth and pension wealth in East and West Germany. European Societies, 1-50.
Weiland, Andreas (2024): Couples’ careers and women’s financial security in later life. Dissertation. University of Mannheim.
Möhring, Katja, Maximiliane Reifenscheid and Andreas Weiland (2023): Is the Recession a ‘shecession’? Gender Inequality in the Employment Effects of the COVID-19 Pandemic in Germany. In: Boerner, Stefanie and Seeleib-Kaiser, Martin (Hg.): European Social Policy and the COVID-19 Pandemic: Challenges to National Welfare and EU Policy.
Möhring, Katja and Andreas Weiland (2022): Couples’ life courses and women’s income in later life: A multichannel sequence analysis of linked lives in Germany. European Sociological Review, 38(3), 371-388.
Weiland, Andreas (2022): Married mothers’ bargaining power and their accrual of pension entitlements: Evidence from East and West Germany. Work, Aging and Retirement, 8(3), 241-263.
Bühler, Babette, Katja Möhring and Andreas Weiland (2022): Assessing dissimilarity of employment history information from survey and administrative data using sequence analysis techniques. Quality & Quantity, 56, 4747–4774.