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Award ID contains: 1941917

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  1. Abstract We explore the impact of rising incomes at the top of the distribution on spatial sorting patterns within large U.S. cities. We develop and quantify a spatial model of a city with heterogeneous agents and non-homothetic preferences for neighbourhoods with endogenous amenity quality. As the rich get richer, demand increases for the high-quality amenities available in downtown neighbourhoods. Rising demand drives up house prices and spurs the development of higher quality neighbourhoods downtown. This gentrification of downtowns makes poor incumbents worse off, as they are either displaced to the suburbs or pay higher rents for amenities that they do not value as much. We quantify the corresponding impact on well-being inequality. Through the lens of the quantified model, the change in the income distribution between 1990 and 2014 led to neighbourhood change and spatial resorting within urban areas that increased the welfare of richer households relative to that of poorer households, above and beyond rising nominal income inequality. 
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  2. The spatial segregation of college-educated and non-college-educated workers between commuting zones in the United States has steadily grown since 1980. We summarize prior work on sorting and location and document new descriptive patterns on how sorting and locations have changed over the past four decades. We find that there has been a shift in the sorting of college-educated workers from cities centered primarily around production in 1980 to cities centered around consumption by 2017. We develop a spatial equilibrium model to understand these patterns and highlight key places where further research is needed. Our framework helps understand the causes and consequences of changes in spatial sorting; their impact on inequality; and how they respond to, and feed into, the changing nature of cities. 
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  3. We use Bureau of Economic Analysis, census, and Current Population Survey data to study trends in income inequality across US states and counties from 1960-2019. Both states and counties have diverged in terms of per capita pretax incomes since the late1990s, with transfers serving to dampen this divergence. County incomes have been diverging since the late 1970s. These trends in mean income mask opposing patterns among top-and bottom-income quantiles. Top incomes have diverged markedly across states since the late 1970s. In contrast, bottom-income quantiles and poverty rates have converged across areas in recent decades. 
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