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The role of gender in psychiatric disorders is not well understood, but several broad trends are known: while men and women experience psychiatric symptoms at roughly the same rate, women are more likely to experience depressive symptoms (Kessler et al., 1993) and men are more likely to experience substance use disorders (DHHS, 1999). However, women are more likely to use primary care services for mental health care than are men (Wells et al., 1986). Equally controversial and not well understood has been the differential responses to treatment interventions by gender (Kornstein, 1997). One recent study found that a depression intervention was more cost-effective for women than for men (Pyne et al., in press). Indeed, the study found that the intervention was essentially cost and outcome neutral for men, while women were found to have a cost-effectiveness ratio of over $5000 for each QALY saved.

We review the implications of the mobile technology for different stages of the consumer path to purchase including awareness, search, evaluation, store visit, and product choice. Real-time and location-specific access to information and products are identified as distinguishing characteristics of mobile devices. While the literature on digital marketing is well developed, knowledge of the effects on the consumer path to purchase in the presence of dynamic and location-specific information is still scarce. Path to purchase models need to recognize the central and powerful role of user-generated content. Better management of marketing resources would require models that connect investments in mobile marketing to sales, and also model the synergies among different digital and offline media. We conclude with a framework that connects mobile media impressions to product choice, in the presence of other marketing media, and consumer and firm feedback loops.

We study research designs where a binary treatment changes discontinuously at the border between administrative units such as states, counties, or municipalities, creating a treated and a control area. This type of geographically discontinuous treatment assignment can be analyzed in a standard regression discontinuity (RD) framework if the exact geographic location of each unit in the dataset is known. Such data, however, is often unavailable due to privacy considerations or measurement limitations. In the absence of geo-referenced individual-level data, two scenarios can arise depending on what kind of geographic information is available. If researchers have information about each observation’s location within aggregate but small geographic units, a modified RD framework can be applied, where the running variable is treated as discrete instead of continuous. If researchers lack this type of information and instead only have access to the location of units within coarse aggregate geographic units that are too large to be considered in an RD framework, the available coarse geographic information can be used to create a band or buffer around the border, only including in the analysis observations that fall within this band. We characterize each scenario, and also discuss several methodological challenges that are common to all research designs based on geographically discontinuous treatment assignments. We illustrate these issues with an original geographic application that studies the effect of introducing copayments for the use of the Children’s Health Insurance Program in the United States, focusing on the border between Illinois and Wisconsin.

This chapter highlights the agency of Nigerian immigrant business owners in constructing their business-related social networks. Literature on immigrant business owners emphasizes their social network embeddedness as a key explanatory factor in their economic integration. I show here ways in which members of one immigrant group purposely shape these networks into the most advantageous form: impersonal/socially distant suppliers, personal/socially close employees, and impersonal/socially distant customers.

Data for the chapter come from 36 semistructured qualitative interviews conducted in New York City with Nigerian small business owners and participant observation in their businesses.

Nigerian immigrant business owners in New York tend over time to shift from business networks of primarily Nigerian or other socially close suppliers, employees, and customers, to networks of mainly socially close employees, and socially distant suppliers and customers.

The chapter’s concern is limited to Nigerian immigrant business owners in New York City. Others in other places may behave differently.

The literature on immigrant business owners is dominated by Asian and Latin American examples while this chapter features the experiences of Nigerian immigrants. It also presents a group that does not fit the widely accepted disadvantage hypothesis of immigrant self-employment. Finally, where many studies treat social networks as static structures, this chapter emphasizes the agency of immigrants in altering the composition of their networks to maximize their position in it.

Employers regularly complain of a shortage of qualified scientists and advocate that to remain competitive more scientists need to be trained. However, using a survey of graduates from British universities, I report that 3 years after graduation less than 50% of graduates from science subjects are working in a scientific occupation.

Accounting for selection into major and occupation type, I estimate the wages of graduates and report that the wage premium of science graduates only occurs when these graduates are matched to a scientific occupation – and not because science skills are in demand in all occupations. I also provide additional evidence to assess whether science graduates are pushed or pulled into non-scientific occupations. Altogether, the evidence does not support the claim that science graduates are pulled by better conditions, financial or otherwise, into non-scientific jobs.

Purpose: This chapter examines the implementation of lesbian, gay, bisexual, transgender, and queer (LGBTQ) health curricula in medical education, focusing on how this content is presented to students to understand if these curricula can fulfill goals of achieving healthcare equity for LGBTQ populations.

Methodology: This research draws on data from six months of participant observation of an academic medical center and school and 28 interviews with medical faculty, students, community members, administrators, and LGBTQ Health Center employees.

Findings: This research has three findings: (1) this medical school has variable definitions for LGBTQ health, making it a hybrid form of knowledge based in (a) understanding the unique health needs of; (b) being culturally competent to; and (c) being a (structural) advocate for LGBTQ patients; (2) LGBTQ health is integrated into multiple courses in the curriculum; and (3) LGBTQ health is becoming a medical specialty frequently delivered to students by LGBTQ health experts.

Research limitations and implications: This research used snowball sampling to recruit participants engaged in LGBTQ health at the institution; it therefore risks self-selection bias. Findings from this study are not generalizable.

Originality: This research argues that LGBTQ health experts engage in a new kind of diversity and inclusion work because (1) these health experts are not always LGBTQ identified; (2) this work is not necessarily unpaid or involuntary; and (3) it involves a hybrid knowledge requiring an understanding of LGBTQ identity, medical knowledge, and social science. Because these LGBTQ health experts opt into this work, and broadly define it, a message available to other physicians and students is that LGBTQ health remains elective.