Publications
Publications
Show Results For
- All HBS Web
(659)
- Faculty Publications (152)
←
Page 8 of 152
Results
- May 1990 (Revised September 1994)
- Background Note
Note on Financial Reporting Strategy and Analysis When Managers Have Proprietary Information
Provides a framework that helps explain these real-world observations about accounting and financial statement analysis. When managers have superior information on firms' strategies, and when investors suspect that managers have incentives not to fully disclose this... View Details
- January 1982
- Article
A Negativity Bias in Interpersonal Evaluation
By: T. M. Amabile and A. H. Glazebrook
Two studies were conducted to demonstrate a bias toward negativity in evaluations of persons or their work in particular social circumstances. In Study 1, subjects evaluated materials written by peers. Those working under conditions that placed them in low status... View Details
- 1980
- Working Paper
Taxation and the Ex-dividend Day Behavior of Common Stock Prices
By: Jerry R. Green
The behavior of stock prices around ex-dividend days has been suggested as evidence for tax-induced clientele effects and as a means to estimate the average effective tax rate faced by investors. In this paper these possibilities are examined theoretically and... View Details
- July 1977
- Article
Social Roles, Social Control and Biases in Social Perception Processes
By: L. D. Ross, T. M. Amabile and J. Steinmetz
To make accurate social judgments, an individual must both recognize and adequately correct for the self-presentation advantages or disadvantages conferred upon actors by their social roles. Two experiments using 120 undergraduates examined social perceptions formed... View Details
- Teaching Interest
Executive Education: Finance for Senior Executives
By: Malcolm P. Baker
Finance for Senior Executives provides the frameworks to strategically use financial resources and position your company for future success. By examining corporate finance from both internal and external perspectives, this HBS Executive Education
- Forthcoming
- Article
Human-Algorithm Collaboration with Private Information: Naïve Advice Weighting Behavior and Mitigation
By: Maya Balakrishnan, Kris Ferreira and Jordan Tong
Even if algorithms make better predictions than humans on average, humans may sometimes have private information which an algorithm does not have access to that can improve performance. How can we help humans effectively use and adjust recommendations made by... 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
I develop machine learning tools and techniques which enable human decision makers to make better decisions. More specifically, my research addresses the following fundamental questions pertaining to human and algorithmic decision-making:
1. How to build... View Details
1. How to build... View Details
- Research Summary
Overview
Professor Coffman studies the sources of gender gaps in economically-important contexts. Her work focuses on the role of beliefs: how do stereotypes bias the beliefs that individuals hold about themselves (and others), and how do these biased beliefs shape... View Details
- Forthcoming
- Article
Reflexivity in Credit Markets
By: Robin Greenwood, Samuel G. Hanson and Lawrence J. Jin
Reflexivity is the idea that investors' biased beliefs affect market outcomes and that market outcomes in turn affect investors’ future biases. We develop a dynamic behavioral model of the credit cycle featuring this two-way feedback loop. Investors form beliefs about... View Details
- Research Summary
Selective Attention and Learning
What do we notice, and how does this affect what we learn? Standard economic models of learning ignore memory by assuming that we remember everything. But there is growing recognition that memory is imperfect. Further, memory imperfections do not stem from limited... View Details
- Forthcoming
- Article
Slowly Varying Regression Under Sparsity
By: Dimitris Bertsimas, Vassilis Digalakis Jr, Michael Lingzhi Li and Omar Skali Lami
We consider the problem of parameter estimation in slowly varying regression models with sparsity constraints. We formulate the problem as a mixed integer optimization problem and demonstrate that it can be reformulated exactly as a binary convex optimization problem... View Details
- ←
- 8