Economic factors, such as economic reliance on male partners, and economic stressors such as household income or employment loss, play an important role in the risk of intimate partner violence (IPV) within romantic partnerships. To investigate these relationships, we used survey data from IPUMS Performance Monitoring for Action that were collected in 2020 and 2021. We assessed the relationship between several economic factors—(1) women’s economic reliance on their partners, (2) household income loss, and (3) respondent’s employment status over the past year—and experience of IPV in the past year in Burkina Faso (N = 2,646) and Kenya (N = 3,416). Women who reported being economically reliant on their partners were less likely to experience physical or psychological violence in Burkina Faso (Prevalence ratio [PR]: 0.41, 95% confidence interval [CI]: 0.26–0.64 and PR: 0.75, 95% CI: 0.59–0.94, respectively), and physical violence in Kenya (PR: 0.69, 95% CI: 0.52–0.90) compared to women who reported not being economically reliant. In Kenya, women in households that experienced a complete loss of income were more likely to experience IPV compared to households that did not experience income loss—1.9 times more likely to experience psychological violence, and three times more likely to experience sexual violence. In Burkina Faso, no significant relationship was found between household income loss and IPV. Our findings indicate that both relative economic empowerment and overall economic stress may act as important risk factors for IPV, particularly where patriarchal and gender inequitable norms are relevant. These findings reinforce the need for a nuanced and intersectional understanding of IPV risk and intervention development, with the relationships between economic dynamics and IPV varying across countries and contexts.

We construct comparable indicators that measure the prevalence of recent intimate partner violence (IPV) using publicly available, integrated microdata within the IPUMS data collections across many countries. The objective of this work is to increase opportunities for comparative research by leveraging vast quantities of harmonized data. We use consistent and comparable variables that measure domestic violence in international health surveys. The most consistent indicators of domestic violence measure physical, psychological, and sexual IPV in the last 12 months. We imposed a consistent reference period and restricted to a comparable subpopulation where these differed across surveys. Aggregating IPV variables across surveys, without careful attention to question wording and subpopulations, may produce inconsistent measures leading to bias, over- or under-estimation of IPV prevalence, or spurious trends and associations. Using comparable indicators in microdata and studying the level, distribution, and covariates of IPV in multiple settings over time, we can better understand these phenomena and identify effective policy interventions.

Women in Africa may have experienced conflicting pressures during the COVID-19 pandemic. While the unpredictable nature of the pandemic was prompting some women to delay pregnancies, the pandemic was potentially limiting access to reproductive health services due to supply shortages, fears of virus exposure, and mobility restrictions. In this study, we used longitudinal data from Kenya and Burkina Faso and applied a multilevel perspective to better understand the factors contributing to change or persistence in contraceptive use during the early months of the pandemic. We found a marginal increase in contraceptive uptake in the early days of the pandemic. Multilevel logistic regression results revealed that interpersonal trust and accurate knowledge of COVID-19 precautions were associated with a greater likelihood of initiating contraception. These factors appeared to have provided women with confidence to navigate the complicated COVID-19 landscape. At the same time, we observed a decrease in contraceptive use in regions with high COVID-19 cases, suggesting the virus was limiting access to contraception in some contexts. These findings highlighted the need for public health officials to ensure that women have the necessary knowledge and ability to safely access contraception during public health crises, when overall demand for contraception may be increasing.

Contraceptive use has substantial implications for women’s reproductive health, motivating research on the most effective approaches to minimize inequalities in access. When women prefer to limit or delay fertility but are not using contraception, this potentially reflects demand for contraception that is not being satisfied. Current literature emphasizes a nuanced integration of supply and demand factors to better understand this gap. In this research, we examine the interconnectedness of supply and demand factors both conceptually and methodologically by augmenting existing measures of local supply with a demand-side factor—community-level preferences for contraceptive methods. Using novel data from Performance Monitoring for Action (PMA) in seven sub-Saharan African countries, we test whether the available supply of locally preferred methods at nearby service delivery points (SDP) explains variation in women’s uptake of contraception beyond the more typical measure of contraceptive stockouts. Findings from logistic regression analyses (N = 32,282) suggest that demand and supply can be understood as tightly interconnected factors which are directly affected by local social preferences. The odds of women using modern contraception increase significantly when locally preferred methods are available, and this is true even after controlling for the availability of methods in general. The new measure tested in this research centers women and their specific desires in a manner consistent with the promotion of contraceptives as an important human right.

Seasonal shifts in community-level agricultural production and their impact on the severity of the annual hunger season and household coping behaviors are important themes in climate change–health ...

Agricultural production and household food security are hypothesized to play a critical role connecting climate change to downstream effects on women's health, especially in communities dependent on rainfed agriculture. Seasonal variability in agriculture strains food and income resources and makes it a challenging time for households to manage a pregnancy or afford a new child. Yet, there are few direct assessments of the role locally varying agricultural quality plays on women's health, especially reproductive health. In this paper we build on and integrate ideas from past studies focused on climate change and growing season quality in low-income countries with those on reproductive health to examine how variation in local seasonal agricultural quality relates to childbearing goals and family planning use in three countries in sub-Saharan Africa: Burkina Faso, Kenya, and Uganda. We use rich, spatially referenced data from the Performance Monitoring for Action (PMA) individual surveys with detailed information on childbearing preferences and family planning decisions. Building on recent advances in remote monitoring of seasonal agriculture, we construct multiple vegetation measures capturing different dimensions of growing season conditions across varying time frames. Results for the Kenya sample indicate that if the recent growing season is better a woman is more likely to want a child in the future. In Uganda, when the growing season conditions are better, women prefer to shorten the time until their next birth and are also more likely to discontinue using family planning. Additional analyses reveal the importance of education and birth spacing in moderating these findings. Overall, our findings suggest that, in some settings, women strategically respond to growing season conditions by adjusting fertility aspirations or family planning use. This study also highlights the importance of operationalizing agriculture in nuanced ways that align with women's lives to better understand how women are impacted by and respond to seasonal climate conditions.

The Current Population Survey (CPS) has been the nation's primary source of information about employment and unemployment for decades. The data are widely used by social scientists and policy makers to study labor force participation, poverty, and other high-priority topics. An underutilized feature of the CPS is its short-run panel component. This paper discusses the unique challenges encountered when linking basic monthly data as well as when linking the March basic monthly data to the Annual Social and Economic (ASEC) Supplement in the 1976-1988 period. We describe strategies to address linking obstacles and document linkage rates.