Casey Breen

@caseybreen.bsky.social

Demographer. Assistant Professor @ UT-Austin. caseybreen.com

new paper: we update risk estimates for child welfare system outcomes (investigation, confirmed, foster care, termination of rights) by race/ethnicity using 2016-2023 data. Black and AIAN kids still most likely to have system contact, but rates are down across the board compared to mid 2010s

A two panel plot showing estimates of lifetime risks of investigation and confirmed maltreatment for seven racial and ethnic groups. There is a slight downward trend over timeA two panel plot showing risk estimates for foster care and termination of parental rights. Foster care rates have a noticeable downward slope. Termination rates have a smaller negative change over time.

Happy to share our new paper published in PNAS! Using epigenetic clocks and egocentric network data, we find each additional "hassler" in your close social network is associated with ~9 months of extra biological age and 1.5% faster pace of aging.

Bild

Our new pub finds flooding impacts on fertility differ in Bangladesh: “We detect…flood-related increases in childbearing among less-educated and higher parity women but find flood-related fertility declines among childless women and those in urban areas.”

Post nicht verfügbar.

Women are 19% less likely to use the internet and 8% less likely to own a mobile phone than men. That’s 320 million fewer women online and 190 million fewer with phones globally 🌍

Quote from Ridhi Kashyap: "This paper underscores the importance of sub-national data for a more complete understanding of inequality in digital adoption, especially in countries with the lowest overall levels of human development.

Our estimates provide a valuable lens for researchers and policymakers through which to assess areas that stand to benefit from the increasing rollout of digital programmes within global development policies, as well as those at risk of being left behind."
Sociology at Oxford@sociologyoxford.bsky.social · 10mo ago

✍️ Published in @pnas.org, NEW data from 2,075 regions across 117 LMICs reveals a stark digital divide: women still face major barriers to internet access and mobile ownership 📱💻 www.sociology.ox.ac.uk/article/320-...

Heart full of joy and gratitude for my depicted, literal superhero team 🦸🦸🦸🦸🦸🦸of incredible supervisors Josh Wilde, @ridhikashyap.bsky.social, @melindacmills.bsky.social, and excellent examiners @drjenndowd.bsky.social & @ftorche.bsky.social, as well as my terrific mentors, peers, & friends!!!

BildBild
Leverhulme Centre for Demographic Science, Oxford University@oxforddemsci.bsky.social · 10mo ago

1/ HUGE congratulations to @jasminabdelghany.bsky.social for passing her DPhil viva w/ no corrections with her dissertation "The impact of in-utero exposure to ambient temperature on maternal health, infant health, and population composition." @nuffieldcollege.bsky.social @oxpop.bsky.social

The GSS asked the same people about their childhood income rank three different times. 56% changed their answer, even though what was trying to be measured couldn’t change! We dig into this in a new article at @socialindicators.bsky.social. 

 doi.org/10.1007/s112... 🧵👇 (1/5)

Growing up Different(ly than Last Time We Asked): Social Status and Changing Reports of Childhood Income Rank - Social Indicators Research

How we remember our past can be shaped by the realities of our present. This study examines how changes to present circumstances influence retrospective reports of family income rank at age 16. While retrospective survey data can be used to assess the long-term effects of childhood conditions, present-day circumstances may “anchor” memories, causing shifts in how individuals recall and report past experiences. Using panel data from the 2006–2014 General Social Surveys (8,602 observations from 2,883 individuals in the United States), we analyze how changes in objective and subjective indicators of current social status—income, financial satisfaction, and perceived income relative to others—are associated with changes in reports of childhood income rank, and how this varies by sex and race/ethnicity. Fixed-effects models reveal no significant association between changes in income and in childhood income rank. However, changes in subjective measures of social status show contrasting effects, as increases in current financial satisfaction are associated with decreases in childhood income rank, but increases in current perceived relative income are associated with increases in childhood income rank. We argue these opposing effects follow from theories of anchoring in recall bias. We further find these effects are stronger among males but are consistent across racial/ethnic groups. This demographic heterogeneity suggests that recall bias is not evenly distributed across the population and has important implications for how different groups perceive their own pasts. Our findings further highlight the malleability of retrospective perceptions and their sensitivity to current social conditions, offering methodological insights into survey reliability and recall bias.

doi.org

Characterizing the potential and limits of using satellite imagery and machine learning technology to measure ground conditions, from Proctor, Carleton, Chong, Fransen, Greenhill, Katz, Murayama, Sherman, Tseng, Druckenmiller, and Hsiang https://www.nber.org/papers/w34315

Bild