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Featured publications

Two New Studies Deepen Our Understanding of the Link between Motherhood and Labour Market Outcomes
18 Feb 2026

Two New Studies Deepen Our Understanding of the Link between Motherhood and Labour Market Outcomes

Two recent publications by Sander Wagner (Leverhulme Centre for Demographic Science) provide new evidence on how becoming a mother affects women’s careers, and why these effects matter for gender inequality more broadly. Both studies draw on large-scale administrative labour market data from France and Germany that were harmonised by the authoring team under a DFG–ANR research grant, with the aim of making cross-national research using administrative records more feasible.
New Study Finds Gender Equality Linked to Modest Fertility Rebound – But Not Enough to Reverse Long-Term Decline
20 Nov 2025

New Study Finds Gender Equality Linked to Modest Fertility Rebound – But Not Enough to Reverse Long-Term Decline

A new study from the Leverhulme Centre for Demographic Science reassesses whether rising gender equality can help reverse falling birth rates, a long-standing theory in demography. The research, published in Demographic Research, revisits a prominent 2019 study by Martin Kolk and offers fresh evidence that improvements in gender equality can lead to a modest fertility recovery, but only under specific conditions and not enough to counter broader declines.

All publications

Mills, M. et al. (no date) “Identification of 370 loci for age at onset of sexual and reproductive behaviour, highlighting common aetiology with reproductive biology, externalizing behaviour and longevity”, https://www.biorxiv.org/content/10.1101/2020.05.06.081273v1.
Millard, J. et al. (no date) “Stringent COVID-19 government restrictions were associated with a marked increase in Twitter activity in Europe”, SocArXiv.
Mood, C. and Jonsson, J. (no date) “Trends in child poverty in Sweden: parental and child reports”, Child Indicators Research [Preprint].
McCarthy, M. (no date) “PROTEIN-CODING VARIANTS IMPLICATE NOVEL GENES RELATED TO LIPID HOMEOSTASIS 1 CONTRIBUTING TO BODY FAT DISTRIBUTION”, Nature Genetics [Preprint].
Bonsall, M., Huntingford, C. and Rawson, T. (no date) “Optimal time to return to normality: parallel use of COVID-19 vaccines and circuit breakers”, medRxiv.
Thomsen, M. (no date) “Queer Demography: register and survey studies on the lives of sexual and gender minorities.”
Rawson, T. et al. (no date) “The impact of health inequity on regional variation of COVID-19 transmission in England”, medRxiv.
Rawson, T. et al. (no date) “Mechanisms of biodiversity between Campylobacter sequence types in a flock of broiler-breeder chickens”, bioRxiv.
Rawson, T. et al. (no date) “Can good broiler flock welfare prevent colonization by Campylobacter?”, bioRxiv.
Rawson, T., Dawkins, M. and Bonsall, M. (no date) “A mathematical model of Campylobacter dynamics within a broiler flock”, bioRxiv.
Nash, R. et al. (no date) “Ebola Virus Disease mathematical models and epidemiological parameters: a systematic review and meta-analysis”, medRxiv.
Doohan, P. et al. (no date) “Lassa fever outbreaks, mathematical models, and disease parameters: a systematic review and meta-analysis”, medRxiv.
Rawson, T. et al. (no date) “How and when to end the COVID-19 lockdown: an optimisation approach”, medRxiv.
“Revista Ciudades, Estados y Política” (no date).
Amit, A. et al. (no date) “Tracking changes in reporting of epidemiological data during the COVID-19 pandemic in Southeast Asia: an observational study during the first wave”, medRxiv.
Hole, G. et al. (no date) “A driftwood-based record of Arctic sea ice during the last 500 years from northern Svalbard reveals sea ice dynamics in the Arctic Ocean and Arctic peripheral seas”, ESSOAr.
McCain, K. et al. (no date) “A systematic review of Zika virus disease: epidemiological parameters, mathematical models, and outbreaks”, medRxiv.
Rawson, T. et al. (no date) “A mathematical model of H5N1 influenza transmission in US dairy cattle”, medRxiv.
Morgenstern, C. et al. (no date) “Socioeconomic and temporal heterogeneity in SARS-CoV-2 exposure and disease in England from May 2020 to February 2023”, medRxiv.
Morgenstern, C. et al. (no date) “Severe acute respiratory syndrome (SARS) mathematical models and disease parameters: a systematic review and meta-analysis”, medRxiv.