Spatial distribution of housing liquidity

This paper examines the relationship between location, liquidity, and prices in housing markets. We construct spatial datasets for German and U.S. cities and show that liquidity and prices decline with distance to the city center. To rationalize these results, we build a structural model with spatial search frictions. We argue that location preferences concentrate buyers in central areas, making markets tighter, more liquid, and driving up prices. Counterfactuals show that suppressing search frictions raises welfare and prices, especially in peripheral areas. Our findings highlight the importance of demand-side preferences and search frictions for understanding liquidity and asset prices.