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Asian, Black, and Hispanic individuals had higher out-of-pocket spending overall

The rise of telephone surveys has increased "gatekeeping" of women

Local industries tend to lose global competitiveness

Findings show that different racial and ethnic groups have different experiences with the U.S. healthcare system

Mid-September expected due date

CNN, James Weldon Johnson Institute of Emory University, and National Center for Civil and Human Rights host panel discussion

Katharine Abraham comments on the Trump administration’s impact on survey data

A survey of models used for forecasting exchange rates and inflation reveals that the factor‐based and time‐varying parameter or state space models generate superior forecasts relative to all other models. This survey also finds that models based on Taylor rule and portfolio balance theory have moderate predictive power for forecasting exchange rates. The evidence on the use of Bayesian Model Averaging approach in forecasting exchange rates reveals limited predictive power, but strong support for forecasting inflation. Overall, the evidence overwhelmingly points to the context of the forecasts, relevance of the historical data, data transformation, choice of the benchmark, selected time horizons, sample period and forecast evaluation methods as the crucial elements in selecting forecasting models for exchange rate and inflation.

Using the theoretical lenses of intersectionality and racial-ethnic socialization, we conducted a focus group study with 29 Black women. We analyzed transcripts via a grounded theory approach for the sources of messages about skin color and hair and for participants’ responses to these messages. Family members were the primary source of messages about skin color and hair. Peers and the media also communicated such messages. Messages ranged from endorsement of Western standards of beauty to an embrace of darker skin colors and natural hair texture. Rather than serving as passive recipients of messages, participants sifted through and reconciled messages with varying degrees of resolution. Their accounts reflected their intersectional experiences as Black women representing a variety of physical attributes. We discuss the influence of these physical attributes on their individual racial-gender identity development in light of a second burgeoning Black hair movement in the United States, that embraces Black natural hair. Findings may help families and others build understanding of, and increase sensitivity toward, the intra- and interpersonal implications of colorism for Black women. Findings may also inform institutional policies (e.g., school, work) and practices to reduce barriers and improve consequences for the Black women navigating these settings.

Increasing number of studies have investigated the impact of maternal exposure to air pollution during pregnancy and adverse birth outcomes, particularly low birth weight (LBW, <2,500 g at birth) and preterm birth (PTB, <37 completed weeks of gestation). We performed a comprehensive review of the peer-reviewed literature and a meta-analysis to quantify the association between maternal exposure to particulate matter with aerodynamic diameter 2.5 and 10 μm (PM 2.5  and PM 10 ) during pregnancy and the risk of LBW and PTB. We identified 20 peer-reviewed articles providing quantitative estimate of exposure and outcome that met our selection criteria. There was significant heterogeneity between studies, particularly for findings related to PM 10  exposure (LBW,  I -squared 54%,  p  = 0.01; PTB,  I -squared = 73%,  p  < 0.01). Results from random-effect meta-analysis suggested a 9% increase in risk of LBW associated with a 10-μg/m 3  increase in PM 2.5  (combined odds ratios (OR), 1.09; 95% confidence interval (CI), 0.90–1.32), but our 95% CI included the null value. We estimated a 15% increase in risk of PTB for each 10-μg/m 3  increase in PM 2.5  (combined OR, 1.15; CI, 1.14–1.16). The magnitude of risk associated with PM 10  exposure was smaller (2% per 10-μg/m 3  increase) and similar in size for both LBW and PTB, neither reaching formal statistical significance. We observed no significant publication bias, with  p  > 0.05 based on both Begg's and Egger's bias tests. Our results suggest that maternal exposure to PM, particularly PM 2.5  may have adverse effect on birth outcomes. Additional mechanistic studies are needed to understand the underlying mechanisms for this association.