NBER Working Papers by Kristina Tobio

Popular discussions often treat the great housing boom of the 1996-2006 period as if it were a national phenomenon with similar impacts across locales, but across metropolitan areas, price growth was dramatically higher in warmer, less educated cities with less initial density and higher initial housing values. Within metropolitan areas, price growth was faster in neighborhoods closer to the city center. The centralization of price growth during the boom was particularly dramatic in those metropolitan areas where income is higher away from the city center. We consider four different explanations for why city centers grew more quickly when wealth was more suburbanized: (1) gentrification, which brings rapid price growth, is more common in areas with centralized poverty; (2) areas with c...

One approach to urban areas emphasizes the existence of certain immutable relationships, such as Zipf’s or Gibrat’s Law. An alternative view is that urban change reflects individual responses to changing tastes or technologies. This paper examines almost 200 years of regional change in the U.S. and finds that few, if any, growth relationships remain constant, including Gibrat’s Law. Education does a reasonable job of explaining urban resilience in recent decades, but does not seem to predict county growth a century ago. After reviewing this evidence, we present and estimate a simple model of regional change, where education increases the level of entrepreneurship. Human capital spillovers occur at the city level because skilled workers produce more product varieties and thereby increase la...

What impact does inequality have on metropolitan areas? Crime rates are higher in places with more inequality, and people in unequal cities are more likely to say that they are unhappy. There is also a negative association between local inequality and the growth of both income and population, once we control for the initial distribution of skills. What determines the degree of inequality across metropolitan areas? Twenty years ago, metropolitan inequality was strongly associated with poverty, but today, inequality is more strongly linked to the presence of the wealthy. Inequality in skills can explain about one third of the variation in income inequality, and that skill inequality is itself explained by historical schooling patterns and immigration. There are also substantial differe...

In the last 50 years, population and incomes have increased steadily throughout much of the Sunbelt. This paper assesses the relative contributions of rising productivity, rising demand for Southern amenities and increases in housing supply to the growth of warm areas, using data on income, housing price and population growth. Before 1980, economic productivity increased significantly in warmer areas and drove the population growth in those places. Since 1980, productivity growth has been more modest, but housing supply growth has been enormous. We infer that new construction in warm regions represents a growth in supply, rather than demand, from the fact that prices are generally falling relative to the rest of the country. The relatively slow pace of housing price growth in the Sunb...