New research on the relationship between race, place, and opportunity in the United States

A new paper released yesterday studies the impact of race on intergenerational mobility in the United States.

Stanford economist and Equitable Growth Steering Committee Member Raj Chetty and fellow researchers Nathaniel Hendren, Maggie R. Jones, and Sonya R. Porter released a new research paper yesterday, titled “Race and Economic Opportunity in the United States: An Intergenerational Perspective.” The paper analyzes the impact of race on intergenerational mobility, that is, the chances that children will earn more—or less—than their parents when they grow up.

The paper is the latest from Chetty and his fellow researchers at the Equality of Opportunity Project to examine the relationship between inequality, mobility, and opportunity in the United States. Equitable Growth thought its release was a good opportunity to revisit some of the key research findings of the project through seven charts, maps, and graphs that use their data.

One of the key findings of the paper released yesterday is that even when black and white boys are raised in families with similar incomes, black boys go on to earn less than white boys. This difference is noticeable and persistent across all incomes for boys, whereas there’s almost no discernable difference among girls. In fact, black girls go on to earn slightly more than white girls raised in families with a similar income. (See Figure 1.)

Figure 1
Source: Raj Chetty and Nathaniel Hendren, “Race and Economic Opportunity in the United States: Executive Summary” (Equality of Opportunity Project, 2018), available at http://www.equality-of-opportunity.org/assets/documents/race_summary.pdf.

This raises serious questions about why outcomes vary across gender, including arguments that point to differences in cognitive abilities to explain differences in outcomes. As The New York Times noted in its coverage of the report, “If such inherent differences existed by race, ‘you’ve got to explain to me why these putative ability differences aren’t handicapping women,’ said David Grusky, a Stanford sociologist who has reviewed the research.”

One of the most commonly cited reasons for differences in mobility across different incomes and races in the United States is the importance of place. The importance of neighborhood-level effects such as the quality of local schools, whether families in a neighborhood are headed by two or one parents, racial segregation, and other factors have been explored by Chetty himself in prior research.

Some places boost kids’ mobility more than others, as maps such as the one below from the slides for Chetty’s paper with Nathaniel Hendren, “The Impacts of Neighborhoods on Intergenerational Mobility I: Childhood Exposure Effects,” illustrate. (See Figure 2.)

Figure 2

As the map above shows, mobility is low in some parts of the United States such as the Southeast, and higher in others such as parts of the Great Plains. It’s particularly interesting to compare the above map from Chetty’s earlier work on mobility with the maps breaking down mobility by race and place in his newest paper. (See Figure 3.)

Figure 3

What the breakdown of these mobility maps by race shows is that the worst places for the mobility of white kids in low-income families are almost all better than the best places for the mobility of black kids in low-income families. As The New York Times noted in its coverage, “These new maps also suggest that part of the reason the Southeast looks bad for all children … is that the region is home to many black children who fare particularly poorly there.”

Even boys growing up in the same areas in families with similar incomes have dramatically different mobility later in life. In fact, black boys have lower incomes in adulthood than white boys in 99 percent of Census tracts. The authors note that, “These results reveal that differences in neighborhood-level resources, such as the quality of schools, cannot explain the intergenerational gaps between black and white boys by themselves.”

Chetty also has explored the impact of families’ incomes and race on innovation in a previous paper, funded in part by the Washington Center for Equitable Growth: “Who Becomes an Inventor in America? The Importance of Exposure to Innovation.” He and co-authors Alex Bell, Xavier Jaravel, Neviana Petkova, and John Van Reenen linked tax, school district, and patent records to identify the key factors in childhood that led to someone filing a patent later in life.

One of their key findings was that difference in ability—measured by test scores in early childhood—explained little in the difference in patent applications. (See Figure 4.)

Figure 4

As the chart above from The New York Times coverage of the paper illustrates, kids from families in the bottom quintile of the income distribution with high math scores were only just as likely to hold a patent as kids with low math scores who were from families in the top income quintile. A similar dynamic plays out when looking at the question from the perspective of race. (See Figure 5.)

Figure 5

In other research, “The Fading American Dream: Trends in Absolute Income Mobility Since 1940,” Chetty and fellow researchers David Grusky, Maximillian Hell, Nathaniel Hendren, Robert Manduca, and Jimmy Narang examined the impact of economic growth and inequality on trends in mobility over the second half of the 20th century. (See Figure 6.)

Figure 6

As the co-authors explained in a column they wrote for Equitable Growth about the paper, while 92 percent of children born in 1940 earned more than their parents, that was only true for 50 percent of children born in 1984. (See Figure 7.)

Figure 7

Two key differences between the start and end of the time period that Chetty and his co-authors analyzed (1940–1984) were that at the beginning of that period, economic growth was higher and income inequality was lower than was the case at the end of the time period. Examining the relative impact on mobility of boosting the former and lowering the latter, the authors found that simply returning inequality back to its earlier, lower rate would do more to improve mobility than boosting growth to the earlier, higher rate. You can read more about the importance of equitable growth for mobility in Nick Bunker’s Value Added on the original paper.

The research paper published yesterday by Chetty and his co-authors on race and mobility is just the latest by the researchers of the Equality of Opportunity Project to illustrate the role of factors outside of kids’ control—what neighborhood they grow up in, their parents’ income, their race—in determining their success later in life. It is also a powerful argument that policies that address income alone will be insufficient to ensure equality of opportunity for all Americans.

Should-Read: Paul Krugman: Trump and Trade and Zombies

Should-Read: Paul Krugman: Trump and Trade and Zombies: “Until now, the most visible neo-goldbug in the administration has been David Malpass… the former chief economist of Bear Stearns…

…a man with a Kudlow-like record of being wrong about everything. In particular, however, back in 2011 Malpass published an op-ed article declaring that what America needed to fix its economic ills was a stronger dollar (and higher interest rates). It was a bizarre claim. After all, at the time the unemployment rate was still 9 percent—and a stronger dollar would have made things even worse. Why? Because it would have made U.S. products less competitive, increasing the trade deficit—and a situation of persistently high unemployment is the one situation in which trade deficits really are an unambiguously bad thing, reducing the demand for domestic goods and services. But here’s the thing: Kudlow appears to share Malpass’s worldview. In fact, his first newsworthy statement after Trump announced his selection was a call for a higher dollar—something that would worsen the very trade deficit Trump sees as a sign of American weakness.

Why has Trump hired people with such conflicting notions about international economic policy? The answer, presumably, is that he doesn’t understand the issues well enough to realize that the conflict exists. And what both sides in this dispute share is a general propensity for invincible ignorance, which makes them Trump’s kind of people. Anyway, on international economics the Trump administration is now on track for a battle of the zombies—a fight between two sets of bad ideas that refuse to die. Pass the popcorn…

Should-Read: J. Vernon Henderson, Adam Storeygard, Tim L. Squires, and David N. Weil: The Global Spatial Distribution of Economic Activity: Nature, History, and the Role of Trade

Should-Read: A very nice paper indeed: J. Vernon Henderson, Adam Storeygard, Tim L. Squires, and David N. Weil: The Global Spatial Distribution of Economic Activity: Nature, History, and the Role of Trade: “We study the distribution of economic activity, as proxied by lights at night, across 250,000 grid cells of average area 560 square kilometers…

…Nearly half of the variation can be explained by a parsimonious set of physical geography attributes…. Geographic characteristics… two groups… agriculture… trade…. Agriculture variables have relatively more explanatory power in countries that developed early and the trade variables have relatively more in countries that developed late…. Two technological shocks occur, one increasing agricultural productivity and the other decreasing transportation costs…. Agglomeration economies lead to persistence in urban locations. In countries that developed early, structural transformation due to rising agricultural productivity began at a time when transport costs were still relatively high…. When transport costs fell, these local agglomerations persisted. In late developing countries, transport costs fell well before structural transformation… [so] manufacturing agglomerated in relatively few, often coastal, locations….

The base covariates are… malaria and ruggedness…. Our agricultural covariates… temperature, precipitation, length of growing period, land suitability for agriculture, elevation, and latitude… 14 biome indicators…. Five trade variables… distances… to the nearest coast, navigable river, major lake, and natural harbor…

Predicted Lights Nighttime Lights

Should-Read: Martin Feldstein: The Real Reason for Trump’s Steel and Aluminum Tariffs

Should-Read: This makes no sense at all. There is nothing in the formal or informal record suggesting that any of the potential deciders and influencers inside the Trump Administration support the steel and aluminum tariffs as some kind of Xanatos Gambit to persuade China to adopt intellectual property rules more to the liking of U.S. firms doing business in China. Absolutely nothing: Martin Feldstein: The Real Reason for Trump’s Steel and Aluminum Tariffs: “The US tariffs will… increase the likelihood that China will accelerate the reduction in subsidized excess capacity…

…It will be possible to exempt imports from military allies in NATO, as well as Japan and South Korea, focusing the tariffs on China…. The administration has not yet said that it will focus the tariffs in this way….

For the US, the most important trade issue with China concerns technology transfers, not Chinese exports… The Chinese government was using the Peoples Liberation Army’s (PLA) sophisticated cyber skills to infiltrate American companies and steal technology…. President Barack Obama and President Xi Jinping met in California in June 2013…. Xi then agreed that the Chinese government would no longer use the PLA or other government agencies to steal US technology…. It appears that such cyber theft has been reduced dramatically….

Current technology theft takes a different form. American firms that want to do business in China are often required to transfer their technology to Chinese firms as a condition of market entry. These firms “voluntarily” transfer production knowhow because they want access to a market…. The US cannot use traditional remedies for trade disputes or World Trade Organization procedures to stop China’s behavior…. US negotiators will use the threat of imposing the tariffs on Chinese producers as a way to persuade China’s government to abandon the policy of “voluntary” technology transfers…. [Then] the threat of tariffs will have been a very successful tool of trade policy.

Should-Read: Dan Shaviro: Another new publication!

Should-Read: Dan Shaviro: Another new publication!: “‘Evaluating the New U.S. Pass-Through Rules’…

…The pass-through rules that the U.S. Congress enacted in 2017-permitting the owners of unincorporated businesses in favored industries to escape tax on 20 per cent of their income-achieved a rare and unenviable trifecta, by making the tax system less efficient, less fair, and more complicated. It lacked any coherent (or even clearly articulated) underlying principle, was shoddily executed, and ought to be promptly repealed. Given the broader surrounding circumstances, the mere fact of its enactment sends out a disturbing message about disregard among high-ranking US policymakers for basic principles of competence, transparency, and fair governance….

This article is a bit on the candid and unvarnished side-even though it’s been toned down significantly from earlier drafts. But I think the tone is justified given the passthrough rules’ egregiousness-at least leaving aside the old maxim that, if you can’t say something nice, you shouldn’t say anything at all. (That maxim would tend to hold down the quantity of writing about the passthrough rules.) It also addresses the 2017 act’s negligence or worse (it appears to have been deliberate) in cutting the corporate rate without addressing the use of C corporations as tax shelters that can be used to lower the rate on labor income. Read the article and you’ll find a few well-chosen (I’d like to think) words about that…

Should-Read: Noah Smith: How Universities Make Cities Great

Should-Read: Noah Smith: How Universities Make Cities Great: “Abel and Deitz find that university research expenditures have a strong effect on the number of educated people in a region—over four times as strong as the effect of degree production…

…Skilled workers come to do research at the university itself. But most of the effect comes from private-sector activity in the surrounding economy. When a university spends a lot on research, ideas and technology leak out to surrounding businesses in myriad ways. Universities cross-license technologies to the private sector. Academics consult for local businesses. Grad students, researchers, and professors start local businesses of their own. Companies establish research centers and hire smart people away from their Ph.D. programs or campus jobs. Some universities provide forums for local entrepreneurs, inventors and academics to meet each other, exchange ideas and offer employment.

High-productivity technology businesses therefore tend to cluster around universities, in order to take advantage of the rich flow of ideas and skilled workers. That, in turn, draws smart educated people from other regions, boosting productivity and raising wages even for less-educated locals.

The policy implication is clear. In order to boost local economies, universities should stop seeing themselves only as educators, and start seeing themselves as platforms for local economic activity. Cleveland State University researchers Richey Piiparinen, Jim Russell, and Charlie Post call the former a “consumer university” model, and the latter a “producer university” model. They apply the distinction to explain the diverging performances of Cleveland and Pittsburgh. Cleveland’s colleges, they say, are still too focused on educating locals, while Pittsburgh’s—especially Carnegie Mellon—have taken an active role in boosting the city’s technology industry…

Should-Read: Jane Humphries (2013): The lure of aggregates and the pitfalls of the patriarchal perspective: a critique of the high wage economy interpretation of the British industrial revolution

Should-Read: A rather odd piece in its rhetorical pose. It really is not a critique of Allen’s hypothesis about the especially strong incentives in Industrial Revolution England to invent and innovate in coal energy and machine intensive ways: it is a reinforcement of it: an argument that British patriarchy reinforced and augmented the imperial, coal-resource, cultural, scientific, and technological forces converging to make the British Industrial Revolution: Jane Humphries (2013): The lure of aggregates and the pitfalls of the patriarchal perspective: a critique of the high wage economy interpretation of the British industrial revolution: “The lure of aggregates and the pitfalls of the patriarchal perspective…

…a critique of the high wage economy interpretation of the British industrial revolution…

…The account of the high wage economy is misleading because it focuses on men and male wages, underestimates the relative caloric needs of women and children, and bases its view of living standards on an ahistorical and false household economy. A more accurate picture of the structure and functioning of working-class households provides an alternative explanation of inventive and innovative activity in terms of the availability of cheap and amenable female and child labour and thereby offers a broader interpretation of the industrial revolution…

Should-Read: Barry Ritholtz: Inflation: Price Changes 1997 to 2017

Should-Read: Hospital services are somewhat misleading, because they buy us a lot more today than they bought us back in the 1990s. College tuition as well: it is a decline in financial aid as a proportion to cost that has driven the cost up so much. College textbooks is a monopoly intellectual property story. It is an extraordinary-shift-in-relative-prices story. But a large part of that story is a political story: Barry Ritholtz: Inflation: Price Changes 1997 to 2017: “It is notable that the two big outliers to the upside are health care (hospital, medical care, prescription drugs) and college (tuition, textbooks, etc.)…

…Clothes, cars, TVs, cell phones, software—technology in general—showed disinflation or outright deflation in prices. (Housing and food & beverage have been right at the middle of inflation levels). Wages have  barely ticked over the median inflation measure, but that did not stop some people from blaming the correction on rising wages. Reading the pundits, I cannot tell which fate awaits us: the robot-driven apocalypse where we are all out of work, or the inevitable spike in wages that sends rates much higher and kills the market. Perhaps both — higher wages sends employers into the waiting arms of our automated future. Regardless, I expect wages are ticking higher, but not appreciably so that the Fed must do anything drastic. And the increased comp should accrue to sectors like retail, housing, durable goods, travel, automobiles, etc. We are a long ways from the sort of wage push inflation of the 1990s..

Price Fan Chart

Should-Read: Jason Del Rey: Amazon is creating a health care company with the help of Warren Buffett and JPMorgan Chase

Should-Read: Jason Del Rey: Amazon is creating a health care company with the help of Warren Buffett and JPMorgan Chase: “Amazon… plans to work with Warren Buffett’s Berkshire Hathaway and JPMorgan Chase to create a new health care company…

…with the aim of “reducing healthcare’s burden on the economy while improving outcomes for employees and their families…. [The] initial focus… will be on technology solutions that will provide U.S. employees and their families with simplified, high-quality and transparent healthcare at a reasonable cost.” The announcement proclaimed that the company would be “free from profit-making incentives and constraints,” but an Amazon spokesperson declined to comment on whether the entity would be a nonprofit…. Even without many details, the news had an immediate impact on sector leaders; UnitedHealth’s stock was down 7 percent in pre-market trading, while Anthem and Cigna each fell 5 percent…

Should-Read: Pamela Jakiela and Owen Ozier: Gendered Language

Should-Read: Pamela Jakiela and Owen Ozier: Gendered Language: “Gender languages assign many—sometimes all—nouns to distinct sex-based categories, masculine and feminine…

…Drawing on a broad range of historical and linguistic sources, we estimate the proportion of each country’s population whose native language is a gender language. At the cross-country level, we document a robust negative relationship between prevalence of gender languages and women’s labor force participation. We also show that traditional views of gender roles are more commons in countries with more native speakers of gender languages. In African countries where indigenous languages vary in terms of their gender structure, educational attainment and female labor force participation are lower among those whose native languages are gender languages. Cross-country and individual-level differences in labor force participation are large in both absolute and relative terms (when women are compared to men), suggesting that the observed patterns are not driven by development or some unobserved aspect of culture that affects men and women equally. Following the procedures proposed by Altonji, Elder, and Taber (2005) and Oster (forthcoming), we show that the observed correlations are unlikely to be driven by unobservables. Gender languages appear to reduce women’s labor force participation…