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- Faculty Publications (9)
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- April 2024
- Article
Decision Authority and the Returns to Algorithms
By: Hyunjin Kim, Edward L. Glaeser, Andrew Hillis, Scott Duke Kominers and Michael Luca
We evaluate a pilot in an Inspections Department to explore the returns to a pair of algorithms that varied in their sophistication. We find that both algorithms provided substantial prediction gains, suggesting that even simple data may be helpful. However, these...
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Keywords:
Algorithmic Aversion;
Algorithmic Decision Making;
Algorithms;
Public Entrepreneurship;
Govenment;
Local Government;
Crowdsourcing;
Crowdsourcing Contests;
Inspection;
Principal-agent Theory;
Government Administration;
Decision Making;
Public Administration Industry;
United States
Kim, Hyunjin, Edward L. Glaeser, Andrew Hillis, Scott Duke Kominers, and Michael Luca. "Decision Authority and the Returns to Algorithms." Strategic Management Journal 45, no. 4 (April 2024): 619–648.
- May 2023
- 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...
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Keywords:
Gentrification;
Neighborhoods;
Impact;
Local Range;
Transition;
Civil Society or Community;
Welfare;
Economic Growth
Glaeser, Edward L., Michael Luca, and Erica Moszkowski. "Gentrification and Retail Churn: Theory and Evidence." Art. 103879. Regional Science and Urban Economics 100 (May 2023).
- Winter 2022
- Article
Determinants of Small Business Reopening Decisions After COVID Restrictions Were Lifted
The COVID-19 pandemic led to dramatic economic disruptions, including government-imposed restrictions that temporarily shuttered millions of American businesses. We use a nation-wide survey of thousands of small business owners to establish three main facts about...
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Keywords:
COVID-19;
Demand Forecasting;
Reopening;
Health Pandemics;
Government Administration;
Small Business
Balla-Elliott, Dylan, Zoë B. Cullen, Edward L. Glaeser, Michael Luca, and Christopher Stanton. "Determinants of Small Business Reopening Decisions After COVID Restrictions Were Lifted." Journal of Policy Analysis and Management 41, no. 1 (Winter 2022): 278–317.
- June, 2021
- Article
Learning from Deregulation: The Asymmetric Impact of Lockdown and Reopening on Risky Behavior During COVID-19
By: Edward L. Glaeser, Ginger Zhe Jin, Michael Luca and Benjamin T. Leyden
During the COVID-19 pandemic, states issued and then rescinded stay-at-home orders that restricted mobility. We develop a model of learning by deregulation, which predicts that lifting stay-at-home orders can signal that going out has become safer. Using restaurant...
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Keywords:
COVID-19;
Lockdown;
Reopening;
Impact;
Coronavirus;
Public Health Measures;
Mobility;
Health Pandemics;
Governing Rules, Regulations, and Reforms;
Consumer Behavior
Glaeser, Edward L., Ginger Zhe Jin, Michael Luca, and Benjamin T. Leyden. "Learning from Deregulation: The Asymmetric Impact of Lockdown and Reopening on Risky Behavior During COVID-19." Journal of Regional Science 61, no. 4 (June, 2021): 696–709.
- 2018
- Working Paper
Measuring Gentrification: Using Yelp Data to Quantify Neighborhood Change
By: Edward L. Glaeser, Hyunjin Kim and Michael Luca
We demonstrate that data from digital platforms such as Yelp have the potential to improve our understanding of gentrification, both by providing data in close to real time (i.e., nowcasting and forecasting) and by providing additional context about how the local...
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Keywords:
Geographic Location;
Local Range;
Transition;
Analytics and Data Science;
Measurement and Metrics;
Forecasting and Prediction
Glaeser, Edward L., Hyunjin Kim, and Michael Luca. "Measuring Gentrification: Using Yelp Data to Quantify Neighborhood Change." NBER Working Paper Series, No. 24952, August 2018.
- May 16, 2018
- Other Article
How Companies Can Use the Data They Collect to Further the Public Good
By: Edward L. Glaeser, Hyunjin Kim and Michael Luca
Glaeser, Edward L., Hyunjin Kim, and Michael Luca. "How Companies Can Use the Data They Collect to Further the Public Good." Harvard Business Review (website) (May 16, 2018).
- 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...
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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.
- January 17, 2018
- Other Article
Using Traditional and Digital Data Sources Together in Economic Research
By: Edward L. Glaeser, Hyunjin Kim and Michael Luca
Glaeser, Edward L., Hyunjin Kim, and Michael Luca. "Using Traditional and Digital Data Sources Together in Economic Research." Vox, CEPR Policy Portal (January 17, 2018).
- 2017
- Working Paper
Nowcasting the Local Economy: Using Yelp Data to Measure Economic Activity
By: Edward L. Glaeser, Hyunjin Kim and Michael Luca
Can new data sources from online platforms help to measure local economic activity? Government datasets from agencies such as the U.S. Census Bureau provide the standard measures of economic activity at the local level. However, these statistics typically appear only...
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Glaeser, Edward L., Hyunjin Kim, and Michael Luca. "Nowcasting the Local Economy: Using Yelp Data to Measure Economic Activity." Harvard Business School Working Paper, No. 18-022, September 2017. (Revised October 2017.)