Social Sciences: Social Statistics & Demography, University of Southampton

Ann has an undergraduate degree in Human Sciences from the University of Oxford, an MSc in Medical Demography from the London School of Hygiene and Tropical Medicine and a PhD in Social Statistics from the University of Southampton. She is currently a Reader in Demography and jointly co-ordinates the Fertility Strand of the ESRC Centre for Population Change (CPC). She is the principle investigator (PI) for two CPC projects, one focusing on the Postponement and Recuperation of Fertility (see project webpage) and one focusing on Patterns of Leaving and Returning Home in the UK (see project webpage). She also undertakes research on living arrangements in mid-life (see, for example, Demey et al., 2011), civil partnerships (see, for example, Ross et al., 2011) and methods for longitudinal data analysis (see, for example, Smith et al., 2009 and Berrington et al., 2006).

Ann is PI on a new ESRC Secondary Data Analysis Initiative project “Young Adulthood: aspirations and realities for living and learning in the 21st Century” assessing how young adults’ transitions to independent living and housing pathways have responded to recent social change: including the expansion of higher education, economic recession and the increased unaffordability of housing (see project webpage).

Previously funded projects for which Ann was PI include a two year project funded jointly by the Teenage Pregnancy Unit & Department of Health focusing on the “Outcomes of Young Parenthood, for mothers, fathers and children”. Findings from the project are available in the final report, journal articles (Borgoni et al 2012.) and S3RI working papers (Berrington et al. 2005) and Berrington et al. 2010).            

Ann's primary areas of research relate to the analysis of the life course using longitudinal methods: cohabitation, marriage and divorce in developed countries; transitions to adulthood in Britain and Europe; timing of parenthood - teenage parenthood and older childbearing in the UK; modelling relationships between attitudes and demographic behaviour using longitudinal repeated measures data; methods for dealing with attrition and item non-response in longitudinal surveys.