Jeff Guo of Wonkblog examines research showing trends in how children of mixed marriages report their own race to the Census Report.
In fact, new immigrants may be assimilating a lot faster than than we had ever thought. A new study this week from economists Brian Duncan, of the University of Colorado, and Stephen Trejo of University of Texas, Austin finds that the descendents of immigrants from Latin-American and Asian countries quickly cease to identify as Hispanic or Asian on government surveys.
The Duncan & Trejo paper can be found here.
Maurice Chammah, writing for The Marshall Project, writes about the St. Louis police departments’ use of crime-predicting software.
HunchLab, produced by Philadelphia-based startup Azavea, represents the newest iteration of predictive policing, a method of analyzing crime data and identifying patterns that may repeat into the future. HunchLab primarily surveys past crimes, but also digs into dozens of other factors like population density; census data; the locations of bars, churches, schools, and transportation hubs; schedules for home games — even moon phases. Some of the correlations it uncovers are obvious, like less crime on cold days. Others are more mysterious: rates of aggravated assault in Chicago have decreased on windier days, while cars in Philadelphia were stolen more often when parked near schools.
H/T Flowing Data
Bloomberg Business has an interesting (and productivity vortex) interactive chart show who marries who based on profession.
Keith Humphreys, writing for WonkBlog, examines recent changes in the U.S. incarceration rates:
After decades of growth, the U.S. imprisonment rate has been declining for the past six years. Hidden within this welcome overall trend is a sizable and surprising racial disparity: African-Americans are benefitting from the national de-incarceration trend but whites are serving time at increasingly higher rates.
The University of Richmond Digital Scholarship Lab created an interactive map showing the foreign born population and countries of origin at the county level since 1850.
H/T Urban Demographics
Philip Cohen of Family Inequality charts the correlation between marriage and gender inequality:
I used data from this U.N. report on marriage rates from 2008, restricted to those countries that had data from 2000 or later. To show marriage rates I used the percentage of women ages 30-34 that are currently married. This is thus a combination of marriage prevalence and marriage timing, which is something like the amount of marriage in the country. I got gender inequality from the U.N. Development Programme’s Human Development Report for 2015. The gender inequality index combines the maternal mortality ratio, the adolescent birth rate, the representation of women in the national parliament, the gender gap in secondary education, and the gender gap in labor market participation.
The World Bank has launched a gender data portal:
Gender data are one of the most visited parts of our data site, and these new resources make it easier than ever to see our data’s gender dimensions. The country and topic dashboards give an overview of the distribution and trends in data across important themes, and the online tables and book are a useful reference for the most commonly accessed data.
Open Data, the World Bank blog, pulled four charts from the portal to illustrate gaps which still need to be closed.
Philip Cohen writes about a new paper by Raj Chetty, et al. and the role race plays, even while it is missing from the data:
The tricky thing with this data, and I don’t blame Chetty et al. for this, although I would like them to say more about it, is that they don’t know the race of the children. The data are from tax records, which allow you to know the income and marital status of the parents, but not the race. But they know where they grew up. So if they have a strong effect of the racial composition of the county kids grow up in, but they don’t know the race of the kids, you have to figure a big part of that is race of the kids — and by “you” I mean someone who knows anything about America.
The Sunlight Foundation has created a project called Hall of Justice which gathers publicly available criminal justice datasets and research.
While not comprehensive, Hall of Justice contains nearly 10,000 datasets and research documents from all 50 states, the District of Columbia, U.S. territories and the federal government. The data was collected between September 2014 and October 2015. We have tagged datasets so that users can search across the inventory for broad topics, ranging from death in custody to domestic violence to prison population. The inventory incorporates government as well as academic data.
H/T Flowing Data
Max Ehrenfreund of Wonkblog writes about a new study by former PSC trainee Geoffrey Wodke showing that more intelligent people are no more interested in supporting policies designed to improve racial equality (such as Affirmative Action or school busing):
When you get down to the brass tacks of dealing with racial prejudice, though, more intelligent people seem to tunnel back into the woodwork. The new study revealed that smarter respondents are no more likely to support specific policies designed to improve racial equality — even though they are more liberal on other issues and are more likely to see discrimination as a problem.