Abstract: We study the role of Dutch colonial institutions on urban development for the megacity of Jakarta, Indonesia. Using historical maps of Dutch settlements and a rich granular database, we implement a boundary discontinuity design comparing locations on either side of Dutch boundaries. We find that historical Dutch areas today have significantly lower parcel density, are more likely to have formally registered parcels, and have more regular parcel layout, pointing to the importance of planning and cadastral mapping. Dutch settlements are also more likely to appear formal, as per a photographic index that ranks the appearance of neighborhoods. We highlight the role of land market institutions over alternative channels, such as direct Dutch investments or natural advantage. 

Abstract: We develop a generalized neighborhood choice model allowing for heterogeneity in knowledge about amenities. When people sort into neighborhoods under imperfect information, all amenities are potentially endogenous. We construct a latent quality index to address this bias, using panel data from a neighborhood choice program that provided information about rents and same-school network to graduating students. Individuals switch into neighborhoods with larger networks and lower rents, and the effects persisted after graduation, influencing actual residential choices. Marginal willingness-to-pay estimates are $123 per month to live with a larger network, and not accounting for endogeneity will bias it up by 70%.

Abstract: We investigate how neighborhood preferences and choices changed one year after the beginning of the COVID pandemic. We study a Neighborhood Choice Program that helped graduating students choose where to live by providing new information about rents and amenities. Using panel data on neighborhood rankings before and after information, we find that changes in rankings favor neighborhoods where social and professional network shares are higher by 2.2 percentage points, rents are lower by $432, and are 2.4 kilometers farther from the city center. Interestingly, we did not detect this movement away from downtowns when the program was offered prior to the pandemic. We then estimate a neighborhood choice model to recover MWTP for amenities both before and after the pandemic. Our estimates reveal that MWTP for network shares post COVID is markedly lower than prior to COVID. Finally, we perform counterfactuals to quantitatively assess how changes in preferences affect where people live, and find that weaker network preferences are most impactful, while heterogeneity by commute and work-from-home are less relevant.