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  • 23 Sep 2017
  • Working Paper Summaries

Nowcasting the Local Economy: Using Yelp Data to Measure Economic Activity at Scale

Keywords: by Edward L. Glaeser, Hyunjin Kim, and Michael Luca
  • 05 Mar 2018
  • Working Paper Summaries

Nowcasting Gentrification: Using Yelp Data to Quantify Neighborhood Change

Keywords: by Edward L. Glaeser, Hyunjin Kim, and Michael Luca
  • 09 Dec 2015
  • Working Paper Summaries

Big Data and Big Cities: The Promises and Limitations of Improved Measures of Urban Life

Keywords: by Edward L. Glaeser, Scott Duke Kominers, Michael Luca & Nikhil Naik
  • 08 Feb 2016
  • Research & Ideas

The Civic Benefits of Google Street View and Yelp

use it. In the paper, Luca, Edward L. Glaeser and Scott Duke Kominers (PhDBE 2011) of Harvard University, and PhD student Nikhil Naik of the... View Details
Keywords: by Michael Blanding; Consumer Products
  • 26 Sep 2017
  • First Look

First Look at New Research and Ideas, September 26, 2017

Measure Economic Activity at Scale By: Glaeser, Edward L., Hyunjin Kim, and Michael... View Details
Keywords: Sean Silverthorne
  • 23 May 2018
  • Research & Ideas

How to Know If Your Neighborhood Is Being Gentrified

Luca, Harvard University Economics Professor Edward L. Glaeser, and HBS doctoral student Hyunjin Kim. The... View Details
Keywords: by Dina Gerdeman
  • 25 Sep 2018
  • First Look

New Research and Ideas, September 25, 2018

stores with higher information-gathering costs for headquarters). Download working paper: https://www.hbs.edu/faculty/Pages/item.aspx?num=50576 Measuring Gentrification: Using Yelp Data to Quantify Neighborhood Change By: Glaeser, View Details
Keywords: Dina Gerdeman
  • 27 Feb 2018
  • First Look

First Look at New Research and Ideas, February 27, 2018

dividends income as if they were separate sources of income. Download working paper: https://www.hbs.edu/faculty/Pages/item.aspx?num=54113 Nowcasting Gentrification: Using Yelp Data to Quantify Neighborhood Change By: Glaeser, View Details
Keywords: Sean Silverthorne
  • 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... View Details
Keywords: Gentrification; Neighborhoods; Impact; Local Range; Transition; Civil Society or Community; Welfare; Economic Growth
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  • 29 May 2018
  • First Look

New Research and Ideas, May 29, 2018

subjective well-being. Publisher's link: https://www.hbs.edu/faculty/Pages/item.aspx?num=54526 May 2018 American Economic Association Papers and Proceedings Nowcasting Gentrification: Using Yelp Data to Quantify Neighborhood Change By:... View Details
Keywords: Dina Gerdeman
  • 24 Apr 2018
  • First Look

First Look at New Research and Ideas, April 24, 2018

Democrats, their beliefs and values suggest that Peronists are the Argentine equivalent of the Republicans. Publisher's link: https://www.hbs.edu/faculty/Pages/item.aspx?num=54386 forthcoming Latin American Economic Review Introduction to... View Details
Keywords: Sean Silverthorne
  • 2023
  • Working Paper

What Jobs are Being Done at Home During the COVID-19 Crisis? Evidence from Firm-Level Surveys

By: Alexander Bartik, Zoë Cullen, Edward L. Glaeser, Michael Luca and Christopher Stanton
Drawing on surveys of small business owners and employees, we present three main findings about the evolution of remote work after the onset of COVID-19. First, uptake of remote work was abrupt and widespread in jobs suitable for telework according to the task-based... View Details
Keywords: COVID-19; Remote Work; Health Pandemics; Jobs and Positions; Demographics; Surveys
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  • 07 Nov 2017
  • First Look

New Research and Ideas: November 7, 2017

Hyunjin Kim, and Michael Luca Abstract—Can new data sources from online platforms help to measure local economic... View Details
Keywords: Carmen Nobel
  • 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... View Details
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
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  • 13 Oct 2015
  • First Look

October 13, 2015

research. Publisher's link: https://www.hbs.edu/faculty/Pages/item.aspx?num=49810 October 2015 Journal of Labor Economics The Value of Bosses By: Lazear, Edward P., Kathryn L. Shaw, View Details
  • January 17, 2018
  • Other Article

Using Traditional and Digital Data Sources Together in Economic Research

By: Edward L. Glaeser, Hyunjin Kim and Michael Luca
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  • 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, Benjamin T. Leyden and Michael Luca
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... View Details
Keywords: COVID-19; Lockdown; Reopening; Impact; Coronavirus; Public Health Measures; Mobility; Health Pandemics; Governing Rules, Regulations, and Reforms; Consumer Behavior
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  • 08 Dec 2015
  • First Look

December 8, 2015

Big Cities: The Promises and Limitations of Improved Measures of Urban Life By: Glaeser, Edward L., Scott Duke Kominers, Michael Luca, View Details
Keywords: Sean Silverthorne
  • 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
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  • 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... View Details
Keywords: Geographic Location; Local Range; Transition; Analytics and Data Science; Measurement and Metrics; Forecasting and Prediction
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