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Angela Li

@angelamli.bsky.social
293 followers 308 following 16 posts

Spatial inequality, housing, environment, and quantitative social science | Postdoc at Rice University Sociology, previously Sociology and Social Policy PhD at Princeton

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Reposted by Angela Li
estebanmoro @estebanmoro.bsky.social · 04/09/2026
New paper! Are universal models of human behavior really universal? Universal mobility models can work remarkably well on average while systematically failing for some socioeconomic groups. Accurate for whom? academic.oup.com/pnasnexus/ar... Led by Ludovico Napoli with @martonkarsai.bsky.social
The figure is taken from the paper. It shows the maps of different cities in the US with areas (census tracts) colored proportionally to how bad/good the universal model describes the behavior of people in that area. The patterns show that model precision localizes around specific (low-income) areas
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Reposted by Angela Li
Nathan Hoffmann @nathanihoff.bsky.social · 04/09/2026
My paper "Double robust, flexible adjustment methods for causal inference: An overview and an evaluation" is out in Social Science Research. Spoiler: In simulations, double robustness appears less important than flexibility, and OLS does pretty well! 🧵👇 1/7 www.sciencedirect.com/science/arti...
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City & Community @cicojournal.bsky.social · 05/08/2026
To commemorate the journal's upcoming 25th anniversary, we are excited to announce the Emerging Scholars Conference—an opportunity for grad students and postdocs to showcase their work related to urban sociology—at Georgetown on April 23, 2027. Call for submissions: tinyurl.com/cicoconfinfo
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David Brady @davebrady72.bsky.social · 11/08/2026
Here’s a direct link to the new study www.tandfonline.com/doi/full/10....
tandfonline.com
Does unauthorized immigration drive community crime rates? Evidence from 11,500 U.S. neighborhoods
Research on the immigration-crime nexus has grown substantially, yet few studies differentiate among immigrants of different legal statuses, including undocumented immigrants. Of those that do, ana...
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Jeffrey Lin @jeffrlin.bsky.social · 11/08/2026
Our article on midcentury insurance policy and urban disinvestment is now available early access on the REStat site: direct.mit.edu/rest/article...
direct.mit.edu
The Bronx Is Burning: Urban Disinvestment Effects of Fair Access to Insurance Requirements Plans
Abstract. We study the unintended effects of Fair Access to Insurance Requirements (FAIR) plans developed by 26 states in the 1960s to address insurance redlining in urban neighborhoods. FAIR plans’ p...
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Jacob S. Rugh @jakerugh.bsky.social · 13/08/2026
NEW in Social Forces @sfjournal.bsky.social coauthored by Jackie Hwang @stanford.edu, Elizabeth Roberto at Rice U., Francine Stephens at Stanford & me "Integrating or Segregating? Gentrification, the Changing City-suburb Divide, and Black Exceptionalism" academic.oup.com/sf/article-a...
academic.oup.com
Integrating or segregating? Gentrification, the changing city-suburb divide, and black exceptionalism
Abstract. Racial residential segregation has been pivotal in maintaining racial inequality following the Civil Rights Era. The transformation of cities by
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Demography - the flagship journal of PAA @readdemography.bsky.social · 14/08/2026
In “Flood Risk & Uneven Patterns of Immobility,” Katherine Thomas uses PSID & flood risk data to assess n'hood risk & probability of moving, finding that h'holds in risk areas are ↓ likely to move than those w/o risk, esp renters & Black and low-income homeowners. read.dukeupress.edu/demography/a...
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Yonah Freemark @yonahfreemark.com · 15/06/2026
How has the US added housing supply since 2000? Are conservative places building a lot more than liberal places? In new research, I show that: —Additional homes were disproportionately in high-income, conservative, greenfield areas —BUT infill growth was more likely to be located in liberal areas
tandfonline.com
The Paradox of Housing Supply Growth: Conservative Sprawl and Liberal Infill in the 21st-Century United States
Housing affordability is declining in the United States. To explain this phenomenon, many scholars and policymakers point to slowing construction, which they argue is particularly troublesome in co...
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Don Moynihan @donmoyn.bsky.social · 08/06/2026
New at Can We Still Govern? Yes, government can use smart innovations to reduce burdens. Rebecca Johnson and Tyler Simko describe a data-matching innovation that led to a 15 percentage point ⬆️ in pandemic emergency rental assistance access. donmoynihan.substack.com/p/how-automa...
donmoynihan.substack.com
How automation reduced administrative burdens and increased access to Emergency Rental Assistance
New research shows how data can increase access and program integrity
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Hannah Pullen-Blasnik @hpullenblasnik.bsky.social · 15/05/2026
My first solo-authored article is out in City & Community! I find that areas with one more residential development permit have 2.7% more low-level arrests in the following year, controlling for crime, calls for service, area demographics, and year effects. doi.org/10.1177/1535...
doi.org
Sage Journals: Discover world-class research
Subscription and open access journals from Sage, the world's leading independent academic publisher.
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Reposted by Angela Li
Steven Schmidt @stevenschmidt.bsky.social · 08/04/2026
Really enjoyed this excellent new residential mobility paper on "opportunity finds." We assume that families move through active housing searches. But many families find homes without actively searching, with consequences for residential inequality. Check it out! academic.oup.com/socpro/advan...
academic.oup.com
When the house finds you: unanticipated opportunities in the housing “search”
ABSTRACT. Prior research on residential selection generally assumes households find housing by actively searching for it. This assumption has led scholars
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Reposted by Angela Li
Chantal Hailey @chantalahailey.bsky.social · 12/02/2026
New Science Advances paper w/ Jennifer Candipan: Racial change doesn’t just reshape neighborhoods, it reshapes school punishment. We show Black–White suspension disparities grow in places where Black populations are changing, especially in majority White, suburban, & rural areas.
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H. Jacob Carlson @hjacobcarlson.bsky.social · 12/02/2026
New piece in the March issue of Social Forces tracing 120 years of segregation. We note the emergence of a new kind of segregation starting the 1950s: macro-segregation. doi.org/10.1093/sf/s... @sfjournal.bsky.social
doi.org
The changing spatial pattern of metropolitan racial segregation, 1900–2020: the rise of macro-segregation
Abstract. This paper tracks 120 years of Black-white segregation in US metropolitan areas. We draw on comprehensive Census data at consistent small-scale g
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Ann Owens @annowens.bsky.social · 10/02/2026
Great new housing papers: "Assisted Housing and Changes in Household Composition" by Kristin Perkins shows that receiving federal or state housing assistance stabilizes families doi.org/10.1177/2378...
doi.org
Assisted Housing and Changes in Household Composition - Kristin L. Perkins, 2026
Changes in household composition are detrimental to children’s well-being and outcomes. Unaffordable or unstable housing may lead to changes in household compos...
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estebanmoro @estebanmoro.bsky.social · 04/02/2026
[New paper!] Mobility data are incredibly powerful, but also come with a long list of well-known biases (sampling, coverage, demographics, behavioral, etc.). In the paper, we survey them all and then zoom in on one that has been surprisingly underexplored: temporal bias. arxiv.org/abs/2601.22330
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Tamkinat Rauf @tsrauf.bsky.social · 14/01/2026
This is a belated post about our paper in @poqjournal.bsky.social. We analyzed 100 survey experiments fielded by TESS (tessexperiments.org), using only information from the proposals to identify intended hypotheses. Here are some of the things we learned:
doi.org
An Audit of Social Science Survey Experiments
Abstract. Survey experiments have become a popular methodology for causal inference across the social sciences. We study the efficacy of survey experiment
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Per Engzell @pengzell.bsky.social · 05/01/2026
Young people's moves contribute to inequality by sorting people with high earning potential to areas with high pay premiums. onlinelibrary.wiley.com/doi/10.1111/... Great new work by @xiaoweixu.bsky.social based on English admin data. @theifs.bsky.social @sriucl.bsky.social @cepeo-ucl.bsky.social
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Angela Li @angelamli.bsky.social · 05/01/2026
Really thoughtful cross-national qualitative work by @elenaah.bsky.social that highlights how different policy contexts (re: employment, housing, poverty alleviation) translate into different lived experiences for young people experiencing insecurity.
Highlighted text: The framework developed in this paper thus elucidates a specific perspective on how policy differences can shape people's experiences of insecurity in different national contexts, focusing not just on the structural differences themselves, but on the ways that these conditions are lived, understood, and perceived.
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Reposted by Angela Li
Tiffany J. Huang @tiffjhuang.bsky.social · 17/12/2025
New in @socprobsjournal.bsky.social w/ @estelabdiaz.bsky.social: the rapid growth of the admissions consulting industry has raised questions about inequality, privilege, and merit. We combine two original data sources to ask how consultants make sense of their work. academic.oup.com/socpro/advan...
academic.oup.com
Inequality and moral meaning-making in the admissions consulting profession
Abstract. Prior research has described how middle-class and affluent families draw on private supplemental educational resources to help their children mai
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Robert Vief @robertvief.bsky.social · 20/09/2025
🚨 New paper: “Does Rent Control Turn Tenants Into NIMBYs?” in the Journal of Politics (JOP) (joint work with @anselmhager.bsky.social and @hannohilbig.bsky.social) 👉 Have a look over here: www.journals.uchicago.edu/doi/10.1086/... Most important findings in this thread: 1/11
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Jonathan Horowitz @jonathanhorowi1.bsky.social · 12/12/2025
Teaching a class on panel data and all of my good examples are US-only data. What are your go-to examples for panel and / or multilevel datasets that aren't just the US? Can be at any level (individual, national, organizational, etc), and the clustering can be across either space or time (or both).
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Sasha Killewald @sashakillewald.bsky.social · 06/12/2025
Thanks for your causal inference readings suggestions! Next Q: what's a paper that (mostly) convinced you of causal relationships *without* an exogenous shock? My students seek examples of good work when using an IV or RD or something isn't an option. (Again, I appreciate RTs to crowd source.)
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Alex Freidus @alexfreidus.bsky.social · 12/11/2025
Happy to say that the reading/teaching guide for Unequal Lessons is now live! It's chockful of prompts and resources for folks who are using the book in reading groups or classes. You can find it on the NYU Press book page or access it directly here: nyu.app.box.com/s/hcffzukiyq...
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Reposted by Angela Li
Mo Torres @motorres.bsky.social · 05/12/2025
I tried out a new idea in my Race, Place & Inequality class this term: students formed small reading groups and spent the semester reading a book on a topic not already covered on the syllabus (in addition to all the regular readings). A quick list of the books they read (many released this year):
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Angela Li @angelamli.bsky.social · 04/12/2025
If you are like me, you sometimes table big research projects to work on more urgent things. 📝 Here is a guide for coming BACK to big research projects (in empirical social science) after some time off. Wrote this note for myself after doing this one too many times: docs.google.com/document/d/1...
docs.google.com
How To: come back to big research projects after time off
How To: come back to big research projects after time off Suppose it's been 3 months since you've looked at a research project and you're getting back to it. How do you pick it up in a useful way? ...
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Per Engzell @pengzell.bsky.social · 26/11/2025
About to kick off a peer review workshop with our brilliant @sriucl.bsky.social PhD students right now. Thanks to my colleague Alina Pelikh for hosting and I wish something like this was available when I started out.
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Angela Li @angelamli.bsky.social · 24/11/2025
👉 Our new paper uses daily mobility data to show that spatial isolation is much more common today among those living in advantaged neighborhoods than the converse. 👩🏻‍💻 Lots of massive data wrangling and careful assumptions about mobility data needed - but check it out here! doi.org/10.1177/0042...
Abstract for "The truly isolated: Spatial isolation of advantage in the United States" by Shannon Rieger, Angela Li, and Patrick Sharkey, published at Urban Studies
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Brian Highsmith @bhighsmith.bsky.social · 24/11/2025
🔎 We used the results to make an interactive web map that allows people to look up how the property wealth in their own metro area (or any other) is fragmented across different local municipalities. This tool visualizes tax base fragmentation across the US—check it out: www.taxbasefragmentation.net
taxbasefragmentation.net
Tax Base Fragmentation | Discover Fiscal Insights — Explore Now
Explore data on tax base fragmentation and fiscal capacity across municipalities with interactive maps and analysis tools.
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Brian Highsmith @bhighsmith.bsky.social · 24/11/2025
🚨We analyzed 138 million geocoded property tax records to quantify how municipal boundaries spatially overlap onto economic segregation in every US metro area—creating disparities in localities’ ability to fund public goods. And we made an interactive map of our results! [1/16]
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American Journal of Sociology @amjsoc.bsky.social · 12/11/2025
What are Americans’ perceptions of immigrants’ politics? How do beliefs about whether newcomers are future allies or adversaries shape immigration attitudes? A new #AJS article shows that perceived partisan (mis)alignment powerfully informs US public opinion on immigration.
journals.uchicago.edu
Red and Blue Immigrants: Political (Mis)Alignment, Immigration Attitudes, and the Boundaries of American National Inclusion | American Journal of Sociology: Vol 0, No ja
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Elizabeth Wrigley-Field @wrigleyfield.bsky.social · 12/11/2025
Very cool article about how our fragmentation of local tax bases allows some suburbs to effectively act as tax havens at the expense of central metro areas. (The link preview is bad, but it's: Tax base fragmentation as a dimension of metropolitan inequality by Manduca, Highsmith, & Waggoner)
academic.oup.com
Validate User
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Sasha Killewald @sashakillewald.bsky.social · 11/11/2025
I'm facilitating a causal inference reading group next semester for Sociology PhD students. (I will also be learning!) If there are (1) pedagogical articles or (2) empirical examples in soc that you ❤️, will you share in the comments? [And please RT to help me crowd-source!]
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Julia M. Rohrer @dingdingpeng.the100.ci · 25/08/2025
Ever stared at a table of regression coefficients & wondered what you're doing with your life? Very excited to share this gentle introduction to another way of making sense of statistical models (w @vincentab.bsky.social) Preprint: doi.org/10.31234/osf... Website: j-rohrer.github.io/marginal-psy...
Models as Prediction Machines: How to Convert Confusing Coefficients into Clear Quantities

Abstract
Psychological researchers usually make sense of regression models by interpreting coefficient estimates directly. This works well enough for simple linear models, but is more challenging for more complex models with, for example, categorical variables, interactions, non-linearities, and hierarchical structures. Here, we introduce an alternative approach to making sense of statistical models. The central idea is to abstract away from the mechanics of estimation, and to treat models as “counterfactual prediction machines,” which are subsequently queried to estimate quantities and conduct tests that matter substantively. This workflow is model-agnostic; it can be applied in a consistent fashion to draw causal or descriptive inference from a wide range of models. We illustrate how to implement this workflow with the marginaleffects package, which supports over 100 different classes of models in R and Python, and present two worked examples. These examples show how the workflow can be applied across designs (e.g., observational study, randomized experiment) to answer different research questions (e.g., associations, causal effects, effect heterogeneity) while facing various challenges (e.g., controlling for confounders in a flexible manner, modelling ordinal outcomes, and interpreting non-linear models).
Figure illustrating model predictions. On the X-axis the predictor, annual gross income in Euro. On the Y-axis the outcome, predicted life satisfaction. A solid line marks the curve of predictions on which individual data points are marked as model-implied outcomes at incomes of interest. Comparing two such predictions gives us a comparison. We can also fit a tangent to the line of predictions, which illustrates the slope at any given point of the curve.A figure illustrating various ways to include age as a predictor in a model. On the x-axis age (predictor), on the y-axis the outcome (model-implied importance of friends, including confidence intervals).

Illustrated are 
1. age as a categorical predictor, resultings in the predictions bouncing around a lot with wide confidence intervals
2. age as a linear predictor, which forces a straight line through the data points that has a very tight confidence band and
3. age splines, which lies somewhere in between as it smoothly follows the data but has more uncertainty than the straight line.
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Nicholas D.E. Mark @nickdemark.bsky.social · 04/11/2025
Excellent new work on the ways that harsh immigration policy affects kids. In a paper last year colleagues and I found evidence for the specific mechanism Tom hypothesizes: fear. This makes me so sad for our kids. journals.sagepub.com/doi/10.1177/...
journals.sagepub.com
Sage Journals: Discover world-class research
Subscription and open access journals from Sage, the world's leading independent academic publisher.
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Yonah Freemark @yonahfreemark.com · 03/11/2025
In the early 1980s, the typical household with an elderly householder had a net wealth similar to the national average. Now it's about 55% greater than the average. Meanwhile, young households now have substantially less comparative wealth than they had back then. www.nber.org/papers/w34131
The net worth of the oldest households has grown dramatically on a relative basis since the 1980s—while it has declined among younger households.
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Contexts Magazine @contexts.org · 23/10/2025
One thing Doug Massey knows? Social inequality is firmly grounded in geographic inequality. 📍 Check out his new essay for @contexts.org ➡️ journals.sagepub.com/doi/10.1177/...
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Manuel Schechtl @schechtlm.eurosky.social · 15/10/2025
Is childhood exposure to local wealth inequality associated with upward income mobility achieved in adulthood? Yes! Check out my new paper, just published in @natureportfolio.nature.com here: doi.org/10.1038/s414... #EconSky #Sociology #Demography
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Per Engzell @pengzell.bsky.social · 03/10/2025
Next RC28 Spring Meeting will be 20-22 May in Seville. Submissions until 10 Dec here: eventos.upo.es/137585/detai... If you're wondering if this is your conference, have a look at what we publish in our journal Research in Social Stratification and Mobility: www.sciencedirect.com/journal/rese...
eventos.upo.es
The Conference
Addressing Social Inequalities in the Global North and South On behalf of the Organising Committee, it is an honour to welcome you to the RC28 Spring Meeting 2026. This academic meeting is proposed a...
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Severin Rapp @severinrapp.bsky.social · 19/09/2025
Excited to announce that our @stone-lis.bsky.social Seminar Series starts its new iteration soon. You can join in person or online on Wednesdays 10.00 am EST, biweekly! The programme: stonecenter.gc.cuny.edu/programs/mul... We will first convene on Wednesday!
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American Journal of Sociology @amjsoc.bsky.social · 21/08/2025
The WWII GI Bill made millions of veterans homeowners, but it also increased Black-White gaps in homeownership and wealth. Results demonstrate how historic policies not only exacerbated past inequalities but also how these inequalities have persisted and intensified into the present.
journals.uchicago.edu
University of Chicago Press Journals: Cookie absent
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𝙼𝚎𝚐𝚊𝚗 𝙺𝚊𝚗𝚐 @mkang.bsky.social · 17/09/2025
As Chicago’s gangs have weakened, it’s become easier for members to leave their groups but harder to avoid violence. My research in Criminology reveals why. onlinelibrary.wiley.com/doi/10.1111/...
onlinelibrary.wiley.com
Weaker the gang, harder the exit
This study draws on 95 interviews and observations with gang-affiliated individuals in Chicago to examine how gang structures shape disengagement and desistance from crime. During the last two decade...
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National Center for Family and Marriage Research @ncfmr-bgsu.bsky.social · 16/09/2025
👶 Average age at first birth hit 27.5 in 2023 — the highest ever. By education: 21 yrs (<HS) vs 33 yrs (Doctoral). By geography: 24.5 in Mississippi vs 30.8 in DC. 📖 Explore the new @NCFMR Profile → doi.org/10.25035/ncf...
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Elizabeth Wrigley-Field @wrigleyfield.bsky.social · 16/09/2025
Cool data alert!
doi.org
A visitor-enriched census in the U.S. cities using large-scale mobile positioning data - Scientific Data
Scientific Data - A visitor-enriched census in the U.S. cities using large-scale mobile positioning data
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Courtney Boen @courtneyboen.bsky.social · 01/09/2025
🚨 Job! 🚨 Brown Sociology & the Watson School of International & Public Affairs are hiring a TT assistant professor whose research focuses on social policy (broadly conceived). Apply by 9/15: apply.interfolio.com/172655 Happy to chat about life at Brown, etc!
apply.interfolio.com
Apply - Interfolio {{$ctrl.$state.data.pageTitle}} - Apply - Interfolio
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Jonathan Horowitz @jonathanhorowi1.bsky.social · 10/09/2025
This paper from @tomlyttelton.bsky.social and @natewilmers.bsky.social is amazing. It shows that removing educational requirements can have big impacts for workers...except that employers don't really hire those workers below the normal education level anyway.
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The National Neighborhood Data Archive @umnanda.bsky.social · 21/08/2025
Need central AC data for US neighborhoods? Using methods Carina Gronlund & Veronica Berrocal developed (📝 doi.org/10.1038/s413...), @umnanda.bsky.social predicted central AC access across census tracts. 📊 doi.org/10.3886/E237... @icpsr.bsky.social @um-src.bsky.social
decorative image
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Angela Li @angelamli.bsky.social · 25/08/2025
Amazing that this book is offered as an *open-access PDF* for all! Sharing in case folks missed this over the summer: www.ucpress.edu/books/indefe.... Looking forward to seeing how this work describes the relationship between metros and their peripheries + questions of race, space, and housing.
ucpress.edu
Indefensible Spaces by Rahim Kurwa - Paper
Scholarship is a powerful tool for changing how people think, plan, and govern. By giving voice to bright minds and bold ideas, we seek to foster understanding and drive progressive change.
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Rose Werth @rosewerth.bsky.social · 21/08/2025
In my dissertation (working on revising this chapter into a journal article atm) I address some of the issues John discusses in this thread. Here’s a teaser on what policies US adults said would most improve their personal safety from a wider selection of policies typically on public safety polls.
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