Nowcasting Gentrification: Using Yelp Data to Quantify Neighborhood Change

Edward L. Glaeser, Hyunjin Kim and Michael Luca

AEA Papers and Proceedings, 2018, vol. 108, 77-82

Abstract: Data from digital platforms have the potential to improve our understanding of gentrification, both by predicting gentrification and by characterizing the local economy of gentrifying neighborhoods. To explore, we identify gentrifying neighborhoods using government data, and then use Yelp data to analyze local business activity. We find that gentrifying neighborhoods tend to have growing numbers of local groceries, cafes, restaurants, and bars, with little evidence of crowd-out of other types of businesses. Moreover, local economic activity, as measured by Yelp data, is a leading indicator for housing price changes and can help to predict which neighborhoods are gentrifying.

JEL-codes: C53 C83 R11 R23 R31 R32 R58 (search for similar items in EconPapers)
Date: 2018
Note: DOI: 10.1257/pandp.20181034
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Citations: View citations in EconPapers (19)

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