Despite a long tradition of studying the relationship between education and fertility outcomes less is known about how educational differences in fertility intentions are formed and translated into achieved births over the life course. This paper provides new insights using data from a large cohort study and Miller's Traits-Desires-Intentions-Behaviour framework for understanding childbearing. We examine how parental aspirations for education, educational ability in childhood, and educational attainment in young adulthood relate to: males' and females' fertility desires in adolescence; fertility intentions in early adulthood; and educational differences in the achievement of fertility intentions. We conclude that family building preferences expressed in adolescence, especially those for the timing of entry into parenthood are shaped by parental socio-economic background, mediated through educational ability and parental expectations for education. In young adulthood, no clear, consistent educational gradient in intended family size is found. However, there is a negative educational gradient in the likelihood of achieving intended births by age 46, especially for women. The findings indicate the importance of educational differences in employment and partnership behaviour in mediating these relationships.
In recent decades, the use of conditionality backed by benefit sanctions for those claiming unemployment and related benefits has become widespread in the social security systems of high-income countries. Critics argue that sanctions may be ineffective in bringing people back to employment or indeed harmful in a range of ways. Existing reviews largely assess the labour market impacts of sanctions but our understanding of the wider impacts is more limited. We report results from a scoping review of the international quantitative research evidence on both labour market and wider impacts of benefit sanctions. Following systematic search and screening, we extract data for 94 studies reporting on 253 outcome measures. We provide a narrative summary, paying attention to the ability of the studies to support causal inference. Despite variation in the evidence base and study designs, we found that labour market studies, covering two thirds of our sample, consistently reported positive impacts for employment but negative impacts for job quality and stability in the longer term, along with increased transitions to non-employment or economic inactivity. Although largely relying on non-experimental designs, wider-outcome studies reported significant associations with increased material hardship and health problems. There was also some evidence that sanctions were associated with increased child maltreatment and poorer child well-being. Lastly, the review highlights the generally poor quality of the evidence base in this area, with few studies employing research methods designed to identify the causal impact of sanctions, especially in relation to wider impacts.
BACKGROUND The Human Fertility Database (HFD) and Human Fertility Collection (HFC) provide disaggregated data on age-specific fertility rates for 45 countries. These sources offer the opportunity to learn about the development of different pathways of transition to low fertility both within and between countries. OBJECTIVE The aim of this paper is to use composite fertility lattice plots, which combine information from different visualization techniques of the Lexis surface, namely level plots and contour plots, to explore changes in age-specific fertility rates (ASFRs) and the implied (period-based) cumulative cohort fertility rates (cumulative pseudo cohort fertility rates, CPCFRs) across countries and geographic regions. METHODS Through key examples we introduce a new refinement of the Lexis surface, combining level plots, which use colour/shade to indicate ASFRs, and contour lines to indicate fertility milestones for given cohorts (CPCFRs). We have also developed a web-based app to allow researchers to produce their own fertility Lexis surfaces. RESULTS Results show that once countries have fallen below a replacement fertility level, they tend to not return to it. Exceptions are Norway and the United States, which saw rising fertility rates for cohorts born after the 1950s and late 1960s respectively. The age-specific fertility trends, as well as broader political and socioeconomic conditions, are very different in these countries, suggesting different paths by which replacement fertility rates might be achieved.
In recent decades, the use of conditionality backed by benefit sanctions for those claiming unemployment and related benefits has become widespread in the social security systems of high-income countries. Critics argue that sanctions may be ineffective in bringing people back to employment or indeed harmful in a range of ways. Existing reviews largely assess the labour market impacts of sanctions but our understanding of the wider impacts is more limited. We report results from a scoping review of the international quantitative research evidence on both labour market and wider impacts of benefit sanctions. Following systematic search and screening, we extract data for 94 studies reporting on 253 outcome measures. We provide a narrative summary, paying attention to the ability of the studies to support causal inference. Despite variation in the evidence base and study designs, we found that labour market studies, covering two thirds of our sample, consistently reported positive impacts for employment but negative impacts for job quality and stability in the longer term, along with increased transitions to non-employment or economic inactivity. Although largely relying on non-experimental designs, wider-outcome studies reported significant associations with increased material hardship and health problems. There was also some evidence that sanctions were associated with increased child maltreatment and poorer child well-being.
Administrative data are widely used to construct indicators of social disadvantage, such as Free School Meals eligibility and Indices of Multiple Deprivation, for policy purposes. For research these indicators are often a compromise between accuracy and simplicity, because they rely on cross-sectional data. The growing availability of longitudinal administrative data may aid construction of more accurate indicators for research. To illustrate this potential, we use administrative data on welfare benefits from DWP's National Benefits Database and annual earnings from employment from HMRC's P14/P60 data to reconstruct individual labour market histories over a 5-year period. These administrative datasets were linked to survey data from the Poverty and Social Exclusion UK 2012. Results from descriptive and logistic regression analyses show that longitudinal measures correlate highly with survey responses on the same topic and are stronger predictors of poverty risks than measures based on cross-sectional data. These results suggest that longitudinal administrative measures would have potentially wide-ranging applications in policy as well as poverty research.
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