Publications

11 Jul 2018
Working Paper Summaries

Channeled Attention and Stable Errors

Keywords: by Tristan Gagnon-Bartsch, Matthew Rabin, and Joshua Schwartzstein

Research Summary

Working Hard and Investing for an Early Retirement

I examine consumption, leisure, and portfolio choices made over the life-cycle using a model allowing for semi-flexible leisure and an endogenously chosen retirement date. Under a Cobb-Douglas utility specification, I present closed-form expressions for optimal... View Details

2007
Working Paper

Evidence from Goodwill Non-impairments on the Effects of Unverifiable Fair-Value Accounting

By: Karthik Ramanna and Ross L. Watts

SFAS 142 requires firms to use unverifiable fair-value estimates to determine goodwill impairments. Standard setters suggest managers will use the discretion given by such estimates to convey private information on future cash flows, while agency theory predicts... View Details

Keywords: Fair Value Accounting; Goodwill Accounting; Standards; Agency Theory

2022
Article

Efficiently Training Low-Curvature Neural Networks

By: Suraj Srinivas, Kyle Matoba, Himabindu Lakkaraju and Francois Fleuret

Standard deep neural networks often have excess non-linearity, making them susceptible to issues such as low adversarial robustness and gradient instability. Common methods to address these downstream issues, such as adversarial training, are expensive and often... View Details

Keywords: AI and Machine Learning

January 2010
Article

The Role of Experience in the Gambler's Fallacy

By: Greg Barron and Stephen Leider

Recent papers have demonstrated that the way people acquire information about a decision problem, by experience or by abstract description, can affect their behavior. We examined the role of experience over time in the emergence of the Gambler's Fallacy in binary... View Details

Keywords: Experience and Expertise; Decision Making; Forecasting and Prediction; Knowledge Acquisition; Outcome or Result; Game Theory; Prejudice and Bias

July 2019
Article

Using Behavioral Science to Inform the Design of Sugary Drink Portion Limit Policies: Reply to Wilson and Stolarz-Fantino (2018)

By: Leslie John, Grant E. Donnelly and Christina A. Roberto

In their commentary, Wilson & Stolarz-Fantino argue that specific design features of our research mean that it cannot have policy implications and that researchers “need to consider profit maximization in menu design or studies are likely to suggest ill-informed... View Details

Keywords: Policy Implementation; Food; Governing Rules, Regulations, and Reforms; Policy

Find at Harvard

09 Nov 2016
News

Blindsided by Trump’s Victory? Behavioral Science Explains

December 2012
Article

Behavioral Ethics: Toward a Deeper Understanding of Moral Judgment and Dishonesty

By: Max Bazerman and Francesca Gino

Early research and teaching on ethics focused on either a moral development perspective or philosophical approaches, and used a normative approach by focusing on the question of how people should act when resolving ethical dilemmas. In this paper, we briefly describe... View Details

Keywords: Ethical Decision Making; Corruption; Unethical Behavior; Behavioral Decision Research; Behavior; Ethics

Find at Harvard

05 Jun 2018
News

HBS Scaling Expert On Finding The Next Bezos, Zuckerberg

2024
Working Paper

Incrementality Representation Learning: Synergizing Past Experiments for Intervention Personalization

By: Ta-Wei Huang, Eva Ascarza and Ayelet Israeli

This paper introduces Incrementality Representation Learning (IRL), a novel multitask representation learning framework that predicts heterogeneous causal effects of marketing interventions. By leveraging past experiments, IRL efficiently designs and targets... View Details

Keywords: Heterogeneous Treatment Effect; Multi-task Learning; Representation Learning; Personalization; Promotion; Deep Learning; Field Experiments; Customer Focus and Relationships; Customization and Personalization

2021
Book

Why Startups Fail: A New Roadmap for Entrepreneurial Success

By: Thomas R. Eisenmann

Why Startups Fail explores entrepreneurial failure, examining its predictable patterns, how to avoid them, and how to cope when failure does occur. Part I looks at three common failure patterns for early-stage startups, illustrating each with an anchor case... View Details

Keywords: Entrepreneurship; Business Startups; Failure; Success; Framework

Purchase

04 Oct 2019
Working Paper Summaries

Soul and Machine (Learning)

Keywords: by Davide Proserpio, John R. Hauser, Xiao Liu, Tomomichi Amano et al.

2019
Article

Does Big Data Enhance Firm Innovation Competency? The Mediating Role of Data-driven Insights

By: Maryam Ghasemaghaei and Goran Calic

Grounded in gestalt insight learning theory and organizational learning theory, we collected data from 280 middle and top-level managers to investigate the impact of each big data characteristic (i.e., data volume, data velocity, data variety, and data veracity) on... View Details

Keywords: Analytics and Data Science; Innovation and Invention; Learning

Register to Read

2009
Working Paper

Stock Price Fragility

By: Robin Greenwood and David Thesmar

We investigate the relationship between ownership structure of financial assets and non-fundamental risk. An asset is fragile if its owners collectively have to buy or sell. Such assets are susceptible to non-fundamental price movements. An asset can be fragile because... View Details

Keywords: Financial Liquidity; Stocks; Price; Market Transactions; Ownership; Risk and Uncertainty; United States

May 1987 (Revised October 1996)
Case

Murray Ohio Manufacturing Co.

By: Krishna G. Palepu

After a record year in 1983, Murray Ohio's earnings declined in 1984. The company was faced with competition from cheap imports and was experiencing declining margins. Students are asked to analyze the company's 1984 financial statements and predict whether there is... View Details

Keywords: Financial Statements; Financial Reporting; Business Divisions; Cost Management; Spending; Decision Making; Change Management; Problems and Challenges; Management Systems; Manufacturing Industry

Educators

Purchase

November 2000 (Revised April 2004)
Case

Airbus A3XX: Developing the World's Largest Commercial Jet (A)

By: Benjamin C. Esty and Michael Kane

In July 2000, Airbus Industries' supervisory board is on the verge of approving a $13 billion investment for the development of a new super jumbo jet known as the A3XX that would seat from 550 to 1,000 passengers. Having secured approximately 20 orders for the new jet,... View Details

Keywords: Risk and Uncertainty; Investment; Forecasting and Prediction; Capital Budgeting; Valuation; Government and Politics; Demand and Consumers; Product Development; Product Positioning; Air Transportation Industry; Manufacturing Industry