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History of economic thought courses are touted as opportunities to improve students’ understandings of pluralism in economics. However, a course solely covering the thoughts of White men is unwelcoming and provides an incomplete depiction of the development of economic thought. In this paper, archival research of five decades of history of economic thought syllabi indicates that courses have shifted to include new perspectives but remain fixated on works by White men. To foster inclusivity, I suggest additional, alternative content for a history of economic thought syllabus, incorporating works by more a diverse group of economic thinkers.

While recessions typically affect men’s employment more adversely than women’s in the USA, the COVID-19 recession was an exception to this trend. In this paper, we focus on the veteran population and ask whether COVID-19 affected employment outcomes differently for veteran women than veteran men. Using Current Population Survey data, we find that the COVID-19 recession had less serious effects on veteran women relative to veteran men in multiple aspects of employment conditions. We offer potential explanations for this finding and ultimately provide evidence of heterogeneity in labor market experiences based on types of recessions, gender, and population subgroups.

Drawing on archival data and oral histories, this paper examines the history of the Eastern Economic Association from its beginnings in 1974 to its 50th anniversary in 2024. It sheds light on the ideological, social, and political motivations behind the EEA’s founding, focusing on its commitment to addressing the narrowness of the economics profession and the marginalization of women and underrepresented minorities. It also documents some of the problems that the Eastern Economic Association and the Eastern Economic Journal faced over time and how they have resolved these problems. Based on this history and analysis, the paper contributes to a deeper understanding of the EEA’s enduring impact on the field of economics and its continuing relevance in fostering a more inclusive and pluralistic academic community.

This dissertation includes three essays in feminist economics. The first two are quantitative empirical studies, which study the interactions between paid work, allocations of housework, and intrahousehold power dynamics. Chapter 1 examines the extent to which men extract unpaid household labor from women to support entrepreneurial ventures. Models using Panel Study of Income Dynamics (PSID) data from 1985 to 2019 illustrate that, in married White couples, women’s disproportionate share of housework increases when their husbands take on business ownership. However, there is no evidence that White husbands extend such support when their wives own businesses. In Black couples, wives take on even greater housework shares when they own a business. These dynamics suggest that the success of married White men’s entrepreneurship may be built on extracting domestic labor from their wives: a notion consistent with patriarchal rent seeking theories. Chapter 2 offers a quantitative test of hegemonic masculinity theory and demonstrates how men of different race and income groups respond to their women partners out-earning them— an economic ‘threat’ to masculinity. Results indicate in upper-income White men have a strong aversion to the situation in which a woman out-earns her male partner. As hegemonic masculinity theory would suggest, middle-income White men follow suit, but lower income White men, and Black men in most income groups, do not. The third chapter is a qualitative history of Barbara Bergmann’s occupational crowding hypothesis. The chapter situates the hypothesis among contemporary competing theories on the economics of discrimination and explains why the crowding hypothesis did not persist as a major explanation of wage differences in the mainstream of the economics profession. Each chapter contributes to the feminist economic mission to overcome androcentric bias in economic analysis, to speak to power, and to extinguish oppression.

Small reviews Career and Family: Women's Century-Long Journey toward Equity by Claudia Goldin.

Base editors can correct disease-causing genetic variants. After a neonate had received a diagnosis of severe carbamoyl-phosphate synthetase 1 deficiency, a disease with an estimated 50% mortality in early infancy, we immediately began to develop a customized lipid nanoparticle–delivered base-editing therapy. After regulatory approval had been obtained for the therapy, the patient received two infusions at approximately 7 and 8 months of age. In the 7 weeks after the initial infusion, the patient was able to receive an increased amount of dietary protein and a reduced dose of a nitrogen-scavenger medication to half the starting dose, without unacceptable adverse events and despite viral illnesses. No serious adverse events occurred. Longer follow-up is warranted to assess safety and efficacy. (Funded by the National Institutes of Health and others.) A lipid nanoparticle–delivered base-editing therapy was custom designed for an infant with a urea-cycle disorder. The affected infant was treated at approximately 7 and 8 months of age.

The contribution of rare and low-frequency variants to human traits is largely unexplored. Here we describe insights from sequencing whole genomes (low read depth, 7×) or exomes (high read depth, 80×) of nearly 10,000 individuals from population-based and disease collections. In extensively phenotyped cohorts we characterize over 24 million novel sequence variants, generate a highly accurate imputation reference panel and identify novel alleles associated with levels of triglycerides ( APOB ), adiponectin ( ADIPOQ ) and low-density lipoprotein cholesterol ( LDLR and RGAG1 ) from single-marker and rare variant aggregation tests. We describe population structure and functional annotation of rare and low-frequency variants, use the data to estimate the benefits of sequencing for association studies, and summarize lessons from disease-specific collections. Finally, we make available an extensive resource, including individual-level genetic and phenotypic data and web-based tools to facilitate the exploration of association results. Low read depth sequencing of whole genomes and high read depth exomes of nearly 10,000 extensively phenotyped individuals are combined to help characterize novel sequence variants, generate a highly accurate imputation reference panel and identify novel alleles associated with lipid-related traits; in addition to describing population structure and providing functional annotation of rare and low-frequency variants the authors use the data to estimate the benefits of sequencing for association studies. Genome variation in health and disease This paper, combining data and initial findings from the different arms of the UK10K project, describes insights from low-read-depth sequencing of whole genomes or high-read-depth exome sequencing of nearly 10,000 individuals sampled from a range of disease collections, as well as participants from healthy population based cohorts. The authors characterize novel sequence variants, generate a highly accurate imputation reference panel and identify novel alleles associated with lipid-related traits. In addition to describing population structure and providing functional annotation of rare and low frequency variants, they use the data to estimate the benefits of sequencing for association studies.