In a city swollen by the wealth of the tech industry, the rich and poor live very separate lives. But sometimes they connect through the garbage.
A look at how the economic collapse exposed profound problems underlying the American dream.
What a great overview. So little has changed… I’m starting to think that our financial system is even more fragile than I had expected it might be.
A study of 10,000 school districts shows how local norms help grow or shrink gender achievement gaps.
For decades, Americans have believed that the best way to end racial inequality is to end class inequality. But a landmark 30-year study is debunking that logic.
On today’s episode:
• Emily Badger writes about cities and urban policy for The Upshot, The New York Times’s data-driven venture.
• William O. Jawando worked in the Obama administration on My Brother’s Keeper, a mentoring initiative for black boys.
• Extensive data shows the punishing reach of racism for black boys.
Is there no humanity left in the world? The more I see and hear of the world, the more I want to remove the positive connotation that the word humanity is frequently assigned.
This story is both very powerful and painfully depressing for me, and yet I know there are many that are still far worse. I hope we can find something in these statistics that can help drastically improve the paying field.
A country's mix of products predicts its subsequent pattern of diversification and economic growth. But does this product mix also predict income inequality? Here we combine methods from econometrics, network science, and economic complexity to show that countries exporting complex products (as measured by the Economic Complexity Index) have lower levels of income inequality than countries exporting simpler products. Using multivariate regression analysis, we show that economic complexity is a significant and negative predictor of income inequality and that this relationship is robust to controlling for aggregate measures of income, institutions, export concentration, and human capital. Moreover, we introduce a measure that associates a product to a level of income inequality equal to the average GINI of the countries exporting that product (weighted by the share the product represents in that country's export basket). We use this measure together with the network of related products (or product space) to illustrate how the development of new products is associated with changes in income inequality. These findings show that economic complexity captures information about an economy's level of development that is relevant to the ways an economy generates and distributes its income. Moreover, these findings suggest that a country's productive structure may limit its range of income inequality. Finally, we make our results available through an online resource that allows for its users to visualize the structural transformation of over 150 countries and their associated changes in income inequality between 1963 and 2008.
The mix of products that countries export is a good predictor of income distribution, study finds.