IDEAS home Printed from https://ideas.repec.org/a/aea/apandp/v108y2018p77-82.html

Nowcasting Gentrification: Using Yelp Data to Quantify Neighborhood Change

Author

Listed:
  • Edward L. Glaeser
  • Hyunjin Kim
  • Michael Luca

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.

Suggested Citation

  • Edward L. Glaeser & Hyunjin Kim & Michael Luca, 2018. "Nowcasting Gentrification: Using Yelp Data to Quantify Neighborhood Change," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 77-82, May.
  • Handle: RePEc:aea:apandp:v:108:y:2018:p:77-82
    Note: DOI: 10.1257/pandp.20181034
    as

    Download full text from publisher

    File URL: https://www.aeaweb.org/doi/10.1257/pandp.20181034
    Download Restriction: no

    File URL: https://www.aeaweb.org/articles/attachments?retrieve=gFZ6737FA_lMGTGmcwmb4RnN9imqm_lZ
    Download Restriction: Access to full text is restricted to AEA members and institutional subscribers.
    ---><---

    More about this item

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets
    • R32 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Other Spatial Production and Pricing Analysis
    • R58 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Regional Development Planning and Policy

    Lists

    This item is featured on the following reading lists, Wikipedia, or ReplicationWiki pages:
    1. Nowcasting Gentrification: Using Yelp Data to Quantify Neighborhood Change (AEA Papers & Proceedings 2018) in ReplicationWiki

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aea:apandp:v:108:y:2018:p:77-82. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Michael P. Albert (email available below). General contact details of provider: https://edirc.repec.org/data/aeaaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.