Filter Results
:
(4)
Show Results For
-
All HBS Web
(9)
- Faculty Publications (4)
Show Results For
-
All HBS Web
(9)
- Faculty Publications (4)
Page 1 of
4
Results
- May 2018
- Article
Nowcasting Gentrification: Using Yelp Data to Quantify Neighborhood Change
By: Edward L. Glaeser, Hyunjin Kim and Michael Luca
Data from digital platforms have the potential to improve our understanding of gentrification and enable new measures of how neighborhoods change in close to real time. Combining data on businesses from Yelp with data on gentrification from the Census, Federal Housing...
View Details
Keywords:
Forecasting Models;
Simulation Methods;
Regional Economic Activity: Growth, Development, Environmental Issues, And Changes;
Geographic Location;
Local Range;
Transition;
Analytics and Data Science;
Measurement and Metrics;
Economic Growth;
Forecasting and Prediction
Glaeser, Edward L., Hyunjin Kim, and Michael Luca. "Nowcasting Gentrification: Using Yelp Data to Quantify Neighborhood Change." AEA Papers and Proceedings 108 (May 2018): 77–82.
- 2019
- Working Paper
Nowcasting Gentrification: Using Yelp Data to Quantify Neighborhood Change
By: Edward L. Glaeser, Hyunjin Kim and Michael Luca
Data from digital platforms have the potential to improve our understanding of gentrification and enable new measures of how neighborhoods change in close to real time. Combining data on businesses from Yelp with data on gentrification from the Census, Federal Housing...
View Details
Keywords:
Geographic Location;
Local Range;
Transition;
Analytics and Data Science;
Measurement and Metrics;
Forecasting and Prediction
Glaeser, Edward L., Hyunjin Kim, and Michael Luca. "Nowcasting Gentrification: Using Yelp Data to Quantify Neighborhood Change." Harvard Business School Working Paper, No. 18-077, February 2018.
- 2017
- Article
Computer Vision Uncovers Predictors of Physical Urban Change
By: Nikhil Naik, Scott Duke Kominers, Ramesh Raskar, Edward L. Glaeser and César A. Hidalgo
Which neighborhoods experience physical improvements? In this paper, we introduce a computer vision method to measure changes in the physical appearances of neighborhoods from time-series street-level imagery. We connect changes in the physical appearance of five U.S....
View Details
Keywords:
Urban Economics;
Gentrification;
Urban Studies;
Computer Vision;
Nieghborhood Effects;
Urban Development;
Situation or Environment;
Demographics;
Economics;
Change
Naik, Nikhil, Scott Duke Kominers, Ramesh Raskar, Edward L. Glaeser, and César A. Hidalgo. "Computer Vision Uncovers Predictors of Physical Urban Change." Proceedings of the National Academy of Sciences 114, no. 29 (July 18, 2017).
- Forthcoming
- Article
Gentrification and Retail Churn: Theory and Evidence
By: Edward L. Glaeser, Michael Luca and Erica Moszkowski
How does gentrification transform neighborhood retail amenities? This paper presents a model in
which gentrification harms incumbent residents by increasing rental costs and by eliminating
distinctive local stores. While rising rents can be offset with targeted...
View Details