The child development researchers I spoke to about it? Practically blasé. They saw screens as a valuable tool — overused but useful — that can help families when handled well.
2026-02-04 14:15:32
In a TED Talk released on Monday, I describe a decadelong effort to measure hip hop’s impact. My research team and I assembled a data set tracking the genre’s diffusion from the late 1980s onward. We compiled exposure measures from virtually every U.S. radio station between 1985 and 2002 and from the Billboard Hot 100 from 2000 through 2024, then digitized station playlists using custom AI tools. The result is a detailed record of what different parts of the country heard in a given year. Using modern text analysis, we examined hundreds of thousands of songs and every word they contained.
We classify hip hop into four broad categories: street, conscious, mainstream and experimental…
Radio data also let us look inside the music. Over the past 40 years, hip-hop lyrics have grown substantially more explicit: profanity, violence and misogynistic language each increased roughly fivefold in our text-based measures, while references to drugs rose by approximately half as much. That growth in lyrical intensity helps explain why hip hop continues to provoke anxiety. But it also sharpens the question that matters most, at least to an economist: Does exposure to these lyrics have measurable effects on people’s lives?
To answer that, we looked at locations with varied hip-hop exposure—some places where it arrived early, others where it arrived later. Hip hop initially reached mass audiences through a subset of black radio stations, often those formatted as “urban contemporary.” Some cities gained early access through those stations. Others didn’t for reasons as mundane as geography, signal reach and local radio history.
That uneven rollout created natural variation in exposure.
Using radio data and decades of census records, we estimated how much hip hop was played on the radio in each county in the U.S. over time. We then tested whether increases in hip-hop penetration were linked to changes in crime—and whether people exposed to more hip hop in their formative years experienced worse outcomes in education, employment, earnings, teen births and single parenthood.
The answer was striking. In our estimates, the effects hovered around zero, sometimes even slightly positive. Places with heavier rap exposure didn’t experience higher crime, lower educational attainment or weaker labor-market outcomes relative to trends elsewhere.
Here is more from Roland Fryer, from the WSJ. Here is the TED talk.
The post The economics of hip hop appeared first on Marginal REVOLUTION.
2026-02-04 03:44:49
Here is the tweet, here is the source data.
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2026-02-04 01:09:35
1. The discourse is getting both smarter and dumber.
2. Seb Krier.
3. New report on economics of human longevity.
4. Alex Ross on the great Morton Feldman (New Yorker).
5. The case for optimism in South Africa (The Economist).
7. Latin American modernism, Caracas edition 1960s.
The post Tuesday assorted links appeared first on Marginal REVOLUTION.
2026-02-03 22:41:14
Yes, I will be doing a Conversation with him. He is a Professor of History at Northwestern, specializing in Mexico and to some extent the Caribbean. He has translated a Mexican book on Edgar Allan Poe. I am learning a good deal from his new 700 pp. book Mexico: A 500-Year History, and I very much like his earlier work on Mexico and violence. Here is an NYT review of the new book.
So what should I ask him?
The post What should I ask Paul Gillingham? appeared first on Marginal REVOLUTION.
2026-02-03 16:12:23
Finance theory is in even more trouble than we had thought:
Mining 29,000 accounting ratios for t-statistics > 2.0 leads to cross-sectional return predictability similar to the peer review process. For both, ≈ 50% of predictability remains after the original sample periods. This finding holds for many categories of research, including research with risk or equilibrium foundations. Only research agnostic about the theoretical explanation for predictability shows signs of outperformance. Our results imply that inferences about post-sample performance depend little on whether the predictor is peer-reviewed or data mined. They also have implications for the importance of empirical vs theoretical evidence, investors’ learning from academic research, and the effectiveness of data mining.
That is from a new paper by Andrew Y. Chen, Alejandro Lopez-Lira, and Tom Zimmermann. Via KingoftheCoast.
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2026-02-03 13:52:46
From Michael Coren at The Washington Post:
The child development researchers I spoke to about it? Practically blasé. They saw screens as a valuable tool — overused but useful — that can help families when handled well.
What I didn’t hear: bans, panic or moral judgments. It was framed as a choice — one you can make better or worse. Researchers expressed a lot of compassion for parents squaring off against massive technology companies whose profit models aren’t always aligned with what’s best for children’s health.
“I am just a lot more concerned about how we design the digital landscape for kids than I am about whether we allow kids to use screens or not,” said Heather Kirkorian, an early childhood development researcher at the University of Wisconsin-Madison. “I haven’t seen concrete evidence that convinces me that screen use itself is creating problematic behavior.”
And for older age groups, there is a new NBER working paper by David G. Blanchflower and Alex Bryson, excerpt:
The change in the age profile of workers’ wellbeing may reflect changes in selection into (out of) employment by age, changes in job quality, or changes in young workers’ orientation to similar jobs over time. But changes in smartphone usage – often the focus of debate regarding declining young peoples’ wellbeing – are unlikely to be the main culprit unless there are sizeable differences in smartphone usage across young workers and non-workers, which appears unlikely.
I am a great believer in work as a way to help improve mental health problems. Here is a quick discussion of media bias on the screens issue. I would stress that none of what I am citing here is at variance with mainstream perspectives on these issues.
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