Publications

January–February 2022
Article

Algorithm-Augmented Work and Domain Experience: The Countervailing Forces of Ability and Aversion

By: Ryan Allen and Prithwiraj Choudhury

How does a knowledge worker’s level of domain experience affect their algorithm-augmented work performance? We propose and test theoretical predictions that domain experience has countervailing effects on algorithm-augmented performance: on one hand, domain experience... View Details

Keywords: Automation; Domain Experience; Algorithmic Aversion; Experts; Algorithms; Machine Learning; Future Of Work; Employees; Experience and Expertise; Decision Making; Performance

2024
Working Paper

What Triggers National Stock Market Jumps?

By: Scott R. Baker, Nicholas Bloom, Steven J. Davis and Marco Sammon

We examine newspapers the day after major stock-market jumps to evaluate the proximate cause, geographic source, and clarity of these events from 1900 in the US, 1930 in the UK and 1980 in 12 other countries. We find four main results. First, the United States plays an... View Details

Keywords: Uncertainty; Policy Uncertainty; Stock Market; Financial Markets; Volatility; Risk and Uncertainty; Policy; Newspapers

January 2022
Article

The Private Impact of Public Data: Landsat Satellite Maps Increased Gold Discoveries and Encouraged Entry

By: Abhishek Nagaraj

How does public data shape the relative performance of incumbents and entrants in the private sector? Using a simple theoretical framework, I argue that public data reduces investment uncertainty, facilitates the discovery of new market opportunities and increases the... View Details

Keywords: Public Data; Maps; Gold; Microeconomic Behavior; Economics; Data and Data Sets; Private Sector; Market Entry and Exit; Mining

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

Article

Does 'Liking' Lead to Loving? The Impact of Joining a Brand's Social Network on Marketing Outcomes

By: Leslie K. John, Oliver Emrich, Sunil Gupta and Michael I. Norton

Does “liking” a brand on Facebook cause a person to view it more favorably? Or is “liking” simply a symptom of being fond of a brand? We disentangle these possibilities and find evidence for the latter: brand attitudes and purchasing are predicted by consumers’... View Details

Keywords: Brands; Marketing Effectiveness; Brand Evaluation; Peer Influence; Brands and Branding; Social and Collaborative Networks; Social Media

2012
Article

Does Power Corrupt or Enable?: When and Why Power Facilitates Self-interested Behavior

By: K. A. DeCelles, D.S. DeRue, J.D. Margolis and T.L. Ceranic

Does power corrupt a moral identity, or does it enable a moral identity to emerge? Drawing from the power literature, we propose that the psychological experience of power, although often associated with promoting self-interest, is associated with greater self-interest... View Details

Keywords: Power; Moral Identity; Self-interested Behavior; Moral Awareness; Commons Dilemma; Moral Sensibility; Behavior; Power and Influence

2007
Working Paper

What Causes Industry Agglomeration? Evidence from Coagglomeration Patterns

By: Glenn Ellison, Edward Glaeser and William R. Kerr

Many industries are geographically concentrated. Many mechanisms that could account for such agglomeration have been proposed. We note that these theories make different predictions about which pairs of industries should be coagglomerated. We discuss the measurement of... View Details

Keywords: Geographic Location; Labor; Industry Clusters; Transportation; Manufacturing Industry; United States

28 Aug 2012
Working Paper Summaries

Channels of Influence

Keywords: by Lauren Cohen, Umit G. Gurun & Christopher J. Malloy

20 May 2008
First Look

First Look: May 20, 2008

best ideas. The company is now considering the deployment of a prediction market to deepen user involvement and commitment in its innovation; however, it is not sure if it is an appropriate strategy for its community. Purchase this case: View Details

Keywords: Martha Lagace

15 Nov 2011
Working Paper Summaries

Engaging Supply Chains in Climate Change

Keywords: by Chonnikarn Fern Jira & Michael W. Toffel

Web

Podcast - Business & Environment

Bellwether at X, The Moonshot Factory at Alphabet (formerly Google X). Sarah shares how geospatial data and artificial intelligence can help communities and businesses anticipate and respond to climate risks. Sarah shares insights from her work building View Details

26 Jun 2023
Research & Ideas

Want to Leave a Lasting Impression on Customers? Don't Forget the (Proverbial) Fireworks

parts of the experience end up heavily weighted in a customer's mind, and invest in those.” You Might Also Like: You Don’t Have to Quit Your Job to Find More Meaning in Life Can Autonomous Vehicles Drive with Common Sense? With Predictive... View Details

Keywords: by Michael Blanding; Entertainment & Recreation

Web

Business, Government & the International Economy - Faculty & Research

these findings, we propose a conceptual framework wherein rhetorical alignment serves as a commitment device: firms commit to supporting Party interests, and the Party commits to refraining from expropriation. Additional predictions of... View Details

2012
Working Paper

~Why Do We Redistribute so Much but Tag so Little? Normative Diversity, Equal Sacrifice and Optimal Taxation

By: Matthew Weinzierl

Tagging is a free lunch in conventional optimal tax theory because it eases the classic tradeoff between efficiency and equality. But tagging is used in only limited ways in tax policy. I propose one explanation: conventional optimal tax theory has yet to capture the... View Details

Keywords: Forecasting and Prediction; Cost; Framework; Policy; Taxation; Analytics and Data Science; Performance Efficiency; United States

SSRN

2025
Working Paper

Street Earnings: Implications for Asset Pricing

By: Sebastian Hillenbrand and Odhrain McCarthy

To address the excess volatility puzzle – the excessive movements in stock prices – researchers often study movements in valuation ratios. However, we demonstrate that movements in valuation ratios based on fundamental measures with high transitory volatility, such as... View Details

SSRN

Article

Organizational Emplacement as a Response to Digital Threat: The Novel Resurgence of Independent Bookstores

By: Ryan Raffaelli and Ryann Noe

This study reveals how incumbent actors leverage physical place as source of differentiation in response to the threat of digital commoditization. Through a longitudinal, qualitative analysis of the U.S. independent bookselling industry from 1995 to 2019, we outline... View Details

Keywords: Retail; Place Making; Bookstores; Industry Evolution; Digital; Commoditization; Organizational Change and Adaptation; Adaptation; Business Strategy; Digital Transformation; E-commerce; Distribution Channels; Civil Society or Community; Value Creation; Retail Industry

Register to Read

2024
Working Paper

Lost in Transmission

By: Thomas Graeber, Shakked Noy and Christopher Roth

For many decisions, people rely on information received from others by word of mouth. How does the process of verbal transmission distort economic information? In our experiments, participants listen to audio recordings containing economic forecasts and are paid to... View Details

Keywords: Information Trnasmission; Word Of Mouth; Word-of-Mouth; Narratives; Reliability; Knowledge Sharing; Spoken Communication; Cognition and Thinking