Publications

Educators

Article

Toward a Corporate Culture of Health: Results of a National Survey

By: Michael Anne Kyle, Lumumba Seegars, John M. Benson, Robert J. Blendon, Robert S. Huckman and Sara J. Singer

Context: The private sector has a large potential role in advancing health and well-being, but attention to corporate practices around health tends to focus on a narrow range of issues and on large businesses. Systematically describing private sector engagement in... View Details

Keywords: Corporate Health; Social Determinants Of Health; Health Policy; Public Health; Organizations; Health; Policy; Surveys

May 2021
Article

Is No News (Perceived as) Bad News? An Experimental Investigation of Information Disclosure

By: Ginger Zhe Jin, Michael Luca and Daniel Martin

This paper uses laboratory experiments to directly test a central prediction of disclosure theory: that strategic forces can lead those who possess private information to voluntarily provide it. In a simple sender-receiver game, we find that senders disclose favorable... View Details

Keywords: Communication Games; Disclosure; Unraveling; Experiments; Information; Product; Quality; Communication; Consumer Behavior

January 2024 (Revised May 2024)
Supplement

BigBank: Confidential Information Educator Supplement

By: Michael Luca and Jesse M. Shapiro

November 2010 (Revised January 2011)
Case

Computerized Provider Order Entry at Emory Healthcare

By: Richard G. Hamermesh, F. Warren McFarlan, Mark Keil, Andrew Katz, Michael Morgan and David LaBorde

The Computerized Provider Order Entry at Emory Healthcare case presents one hospital system's efforts to implement computerized provider order entry (CPOE) across all of its hospitals and the challenges they faced in doing so. Issues such as standardization of care,... View Details

Keywords: Health Care and Treatment; Information Management; Management Systems; Standards; Service Delivery; Business Processes; Organizational Change and Adaptation; Projects; Information Technology; Applications and Software; Health Industry

Educators

Article

Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness

By: Michael J Kearns, Seth Neel, Aaron Leon Roth and Zhiwei Steven Wu

The most prevalent notions of fairness in machine learning are statistical definitions: they fix a small collection of pre-defined groups, and then ask for parity of some statistic of the classifier (like classification rate or false positive rate) across these groups.... View Details

Keywords: Machine Learning; Algorithms; Fairness; Mathematical Methods

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

2018
Chapter

New Prospects for Organizational Democracy?: How the Joint Pursuit of Social and Financial Goals Challenges Traditional Organizational Designs

By: Julie Battilana, Michael Fuerstein and Michael Lee

For an extended period during the first half of the 20th century, industrial democracy was a vibrant movement, with ideological and organizational ties to a thriving unionism. In 2015, however, things look different. While there are instances of democracy in the... View Details

Keywords: Organizational Design; Social Enterprise; Values and Beliefs; Integration; Theory

April 2017
Article

Racial Discrimination in the Sharing Economy: Evidence from a Field Experiment

By: Benjamin Edelman, Michael Luca and Daniel Svirsky

In an experiment on Airbnb, we find that applications from guests with distinctively African-American names are 16% less likely to be accepted relative to identical guests with distinctively White names. Discrimination occurs among landlords of all sizes, including... View Details

Keywords: Discrimination; Field Experiment; Bias; Airbnb; Prejudice and Bias; Race; Accommodations Industry

2019
Article

Fair Algorithms for Learning in Allocation Problems

By: Hadi Elzayn, Shahin Jabbari, Christopher Jung, Michael J Kearns, Seth Neel, Aaron Leon Roth and Zachary Schutzman

Settings such as lending and policing can be modeled by a centralized agent allocating a scarce resource (e.g. loans or police officers) amongst several groups, in order to maximize some objective (e.g. loans given that are repaid, or criminals that are apprehended).... View Details

Keywords: Allocation Problems; Algorithms; Fairness; Learning

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January 17, 2018
Other Article

Using Traditional and Digital Data Sources Together in Economic Research

By: Edward L. Glaeser, Hyunjin Kim and Michael Luca

September 2016
Article

When 3+1>4: Gift Structure and Reciprocity in the Field

By: Duncan S. Gilchrist, Michael Luca and Deepak Malhotra

Do higher wages elicit reciprocity and lead to increased productivity? In a field experiment with 266 employees, we find that paying higher wages, per se, does not have a discernible effect on productivity (in a context with no future employment opportunities).... View Details

Keywords: Wages; Performance Productivity

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

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January 2018
Article

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

By: Edward L. Glaeser, Scott Duke Kominers, Michael Luca and Nikhil Naik

New, "big" data sources allow measurement of city characteristics and outcome variables at higher frequencies and finer geographic scales than ever before. However, big data will not solve large urban social science questions on its own. Big data has the most value for... View Details

Keywords: Analytics and Data Science; Urban Scope; City

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