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In recent years, a number of historians have examined the reasons for differences in the height and health of men and women in nineteenth-century Britain, often drawing on economic studies which link excess female mortality in the developing world to restrictions in women's employment opportunities. This paper re-examines this literature and summarises the existing literature on sex-specific differences in height, weight and mortality in England and Wales before 1850. It then uses two electronic datasets to examine changes in cause-specific mortality rates between 1851 and 1995. Although there is little evidence to support the view that the systematic neglect of female children was responsible for high rates of female mortality in childhood, there is rather more evidence to show that gender inequalities contributed to excess female mortality in adulthood.

In this chapter, I review recent evidence on the developmental origins of health inequality. I discuss the origins of the education-health gradient, the long-term costs caused by early life adversity, and how early life experiences affect the biology of the body. Additionally, I provide complementary evidence on enrichment interventions which can at least partially compensate for these gaps. I highlight emerging lines of scientific inquiry which are likely to have a significant impact on the field. I argue that, while the evidence that early life conditions have long-term effects is now uncontroversial, the literature needs to be expanded both in a theoretical and empirical direction. On the one hand, a model linking early life origins to ageing needs to be developed; on the other hand, a better understanding of the mechanisms – both biological and socioeconomic – is required, in order to design more effective interventions.

This chapter summarizes the growing theoretical and empirical literature on the role of education in disaster risk reduction with a focus on Southeast Asia. Education and learning can take place in different environments in more or less formalized ways. They can influence disaster vulnerability in direct and indirect ways. Directly, through education and learning, individuals acquire knowledge, abilities, skills and perceptions that allow them to effectively prepare for and cope with the consequences of disaster shocks. Indirectly, education gives individuals and households access to material, informational and social resources which can help reduce disaster vulnerability. This chapter highlights central concepts and terminologies and discusses the different theoretical mechanisms through which education can support disaster risk reduction. Supportive empirical evidence is presented and discussed with a particular focus on the role of inclusiveness in education and challenges in achieving universal access to high-quality education. Based on a situation analysis and best practice cases, policy implications are derived that can inform the design and implementation of education and learning-based disaster risk reduction efforts in the region.

This chapter examines how more women in the workforce can contribute towards making businesses more resilient. The overall objective of the study is to assess how women's employment influences various factors related to resilience and that in turn drives business activities. The methodology used is qualitative in nature using thematic analysis as a tool. Some quantitative data have been assessed in order to understand how companies survived the pandemic and to examine the trends in female labour force participation. This chapter also builds on observational research methodology in places to arrive at certain key inferences. The analysis examines top performing firms and sectors that survived the pandemic, key characteristics of business resilience and characteristics of women's labour and their role in building business resilience. A conceptual framework has been developed to discuss how female labour force participation can contribute to different sectors in order to build resilient businesses.

We study the informational content of factor structures in discrete triangular systems. Factor structures have been employed in a variety of settings in cross-sectional and panel data models, and in this chapter we formally quantify their identifying power in a bivariate system often employed in the treatment effects literature. Our main findings are that imposing a factor structure yields point-identification of parameters of interest, such as the coefficient associated with the endogenous regressor in the outcome equation, under weaker assumptions than usually required in these models. In particular, we show that a “non-standard” exclusion restriction that requires an explanatory variable in the outcome equation to be excluded from the treatment equation is no longer necessary for identification, even in cases where all of the regressors from the outcome equation are discrete. We also establish identification of the coefficient of the endogenous regressor in models with more general factor structures, in situations where one has access to at least two continuous measurements of the common factor.

I investigate the well-known educational gradient in smoking. It is well established that, at least in recent decades, people with higher levels of education are less likely to smoke and, conditional on being a smoker, are more likely to quit than are people with less education. Using longitudinal data on lifetime smoking histories, I explore whether the educational gradient changes when one accounts for differences in the amount of information smokers have about the health risks associated with smoking. At the core of the analysis is a new way to measure not only the flow of information a person receives but also a person’s stock of information in any year. I construct measures of the stock and flow of information with consumer magazine articles that discuss cigarette smoking and health. To calculate exposure, I predict individuals’ reading of particular magazines and link predicted exposure to data on individual smoking status in every year of life. The analysis sample includes many individuals who started smoking in the 1930s and 1940s – well before scientific evidence had accumulated. After replicating the education gradient in terms of smoking cessation, I show that it is mostly explained by the interaction between educational attainment and the stock of knowledge individuals possess. The findings suggest that education affects whether and how a stock of health risk information induces people to quit smoking.

This chapter sets out the political participation of a group of young socialists in Manchester. The analysis indicates that the young socialists’ participation was driven by a critique of the structural conditions of capitalism. The young people in this group deliberately eschewed discussions of individual stories in their group’s activism, or in recounting what brought them to the group. In doing so, they reject the place of individual needs and stories (framed here as an element of ‘identity politics’) in bringing about the societal change they believe is necessary. This is not to say that they deny the place or role of identity politics but, rather, that they want to supplement achieving change in individual categories of oppression by creating the economic (i.e. non-capitalist) conditions where all oppressions are eliminated. The young socialists’ participation in terms of their group sessions was quite formal in nature (lecture, discussion, etc.) and was concerned with education and theoretical debate, replicating practices from the socialist movement. Drawing on contemporary theory the chapter argues that the socialist students compare greatly to other young people who may be cast as ‘radically unpolitical’ because of the socialists’ sober adherence to an old ideology.

At least 20% of individuals living with HIV pass through prison and jail doors every year, in any nation, worldwide. Therefore, interventions that improve access to HIV testing, HIV care, and education can have a broad impact on public health in every country. The benefits of these interventions in correctional settings have already been well documented. For example, improved access to HIV testing, treatment by an HIV specialist, preventive vaccinations and prophylactic medications, screening for concomitant infections such as HCV, and pre‐release planning services have been shown to decrease HIV‐related mortality and morbidity, to reduce the risk of HIV transmission and to decrease recidivism. Education of at‐risk individuals has also been shown to reduce HIV risk behaviors. Safe distribution of condoms and needle‐exchange programs have also been demonstrated to be safe and effective, although few such programs have been implemented in the United States. While all the available evidence has demonstrated that these public health‐oriented interventions can be and are successful in correctional settings, implementation on a national and international level lags far behind the evidence. The time has come to take an evidence‐based approach to improving HIV management in correctional settings. Implementations of the HIV management interventions described in this article make good medical sense and will have a positive impact on the health of inmates and the communities to which inmates return.