Publications
Publications
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- Faculty Publications (152)
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- 1982
- Article
When Self-Descriptions Contradict Behavior: Actions do Speak Louder than Words
By: T. M. Amabile and L. Kabat
Subjects viewed two videotapes, one depicting a stimulus person's self-description and the other depicting that person's behavior in a conversation, according to a four-way factorial design personality descriptor used in the self-description ("introvert" or... View Details
- Research Summary
Corporate Governance
The characteristics and structure of boards of directors have important implications for firm performance. Professor Wang has found that firms with well-connected boards whose members have strong network connections provide economic benefits that are not immediately... View Details
- Research Summary
Gun Violence in the United States
By: Deepak Malhotra
My colleagues and I are studying gun violence from two perspectives. First, how do events like mass shootings impact gun policy? Do they have any effect? We find that they do, but not in the way most people would expect. Second, we are studying which types of gun... View Details
- Teaching Interest
Interpretability and Explainability in Machine Learning
As machine learning models are increasingly being employed to aid decision makers in high-stakes settings such as healthcare and criminal justice, it is important to ensure that the decision makers correctly understand and consequent trust the functionality of these... View Details
- Forthcoming
- Article
Is Hybrid Work the Best of Both Worlds? Evidence from a Field Experiment
By: Prithwiraj Choudhury, Tarun Khanna, Christos A. Makridis and Kyle Schirmann
This paper reports causal evidence on how the extent of hybrid work—the number of days worked from home relative to days worked from office—affects employee attitudes and performance. Workers who spent around two days in the office each week on average self-reported... View Details
- Research Summary
Overview
By: Isamar Troncoso
Professor Troncoso's research explores problems related to digital marketplaces and AI applications in marketing, and combines toolkits from econometrics, causal inference, and machine learning. She has studied how different platform design choices can lead to... View Details
- Research Summary
Overview
By: Iavor I. Bojinov
Over the last decade, technology companies like Amazon, Google, and Netflix have pioneered data-driven research and development processes centered on massive experimentation. However, as companies increase the breadth and scale of their experiments to millions of... View Details
- Research Summary
Overview
By: Eva Ascarza
Professor Ascarza’s research primarily focuses on providing researchers and marketers a better understanding of how to manage customer retention so as to reduce churn and increase firm’s profitability. She addresses these issues by building empirical models of customer... View Details
- Research Summary
Overview
Engaged with field work in East Africa, South Asia, and in several large hybrid organizations in the United States, Professor Whillans places a focus on exploring questions with strong theoretical motivation in the social psychological literature and relevant... View Details
- Forthcoming
- Article
Personalization and Targeting: How to Experiment, Learn & Optimize
By: Aurelie Lemmens, Jason M.T. Roos, Sebastian Gabel, Eva Ascarza, Hernan Bruno, Elea McDonnell Feit, Brett Gordon, Ayelet Israeli, Carl F. Mela and Oded Netzer
Personalization has become the heartbeat of modern marketing. Advances in causal inference and machine learning enable companies to understand how the same marketing action can impact the choices of individual customers differently. This article provides an academic... View Details
- Forthcoming
- Article
Who Values Democracy?
By: Max Miller
This paper examines the conventional view that redistribution is central to the democratization process using data from stock markets. Consistent with this view, democratizations have a large, negative impact on asset valuations driven by a rise in redistribution risk.... View Details
- Research Summary
Why Doesn't Capital Flow from Rich to Poor Countries? An Empirical Investigation (joint with Sebnem Kalemli-Ozcan and Vadym Volosovych)
By: Laura Alfaro
We examine the role of different explanations for the lack of
flows of capital from rich to poor countries -- the Lucas paradox
-- in an empirical framework. Broadly, the theoretical
explanations for this paradox include differences in fundamentals
affecting the... View Details
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