Publications

20 Feb 2018
First Look

First Look at New Research and Ideas, February 20, 2018

bonds generates a crowding out of corporate lending. For a given domestic firm, new debt is less likely to be a loan—i.e., the loan supply contracts—when local banks have purchased more domestic sovereign debt and when that debt is risky... View Details

Keywords: Sean Silverthorne

03 Oct 2022
Research & Ideas

Why a Failed Startup Might Be Good for Your Career After All

aspects of the firm: operations, marketing, finance, communications, and product development. Clearly, general management skills win the day, says one of the paper’s coauthors, Paul A. Gompers, who is the Eugene Holman Professor of... View Details

Keywords: by Sean Silverthorne

Article

Oracle Efficient Private Non-Convex Optimization

By: Seth Neel, Aaron Leon Roth, Giuseppe Vietri and Zhiwei Steven Wu

One of the most effective algorithms for differentially private learning and optimization is objective perturbation. This technique augments a given optimization problem (e.g. deriving from an ERM problem) with a random linear term, and then exactly solves it.... View Details

Keywords: Machine Learning; Algorithms; Objective Perturbation; Mathematical Methods

13 Jan 2003
Research & Ideas

The Subconscious Mind of the Consumer (And How To Reach It)

product planning strategy? No matter how radical a new product is, it will always be perceived initially in terms of some frame of reference.— Gerald Zaltman A: The insights offered by methods that probe the unconscious mind are relevant... View Details

Keywords: by Manda Mahoney

28 Jan 2019
Research & Ideas

Forget Cash. Here Are Better Ways to Motivate Employees

Whillans co-wrote a recent article in Compensation & Benefits Review, “Winning the War for Talent: Modern Motivational Methods for Attracting and Retaining Employees,” with Anais Thibault-Landry of the Université du Québec à Montréal... View Details

Keywords: by Dina Gerdeman

Article

Portfolio Value-at-Risk Optimization for Asymmetrically Distributed Asset Returns

By: Joel Goh, Kian Guan Lim, Melvyn Sim and Weina Zhang

We propose a new approach to portfolio optimization by separating asset return distributions into positive and negative half-spaces. The approach minimizes a newly-defined Partitioned Value-at-Risk (PVaR) risk measure by using half-space statistical information. Using... View Details

Keywords: Robust Optimization; Portfolio Management; Value-at-risk; Mathematical Methods; Finance

Purchase

May 2011
Article

Race at the Top: How Companies Shape the Inclusion of African Americans on Their Boards in Response to Institutional Pressures

By: Clayton S. Rose and William T. Bielby

Drawing on institutionalist theory, we conceptualize the racial composition of the boards of directors of large American companies as shaped in response to social and political norms. We use new longitudinal and cross-sectional data to test hypotheses about factors... View Details

Keywords: Leadership; Governing and Advisory Boards; Race; Mathematical Methods; Government and Politics; Public Ownership; United States

Purchase

04 Sep 2001
Research & Ideas

Governing the Family-Run Business

Scout troop, effective governance: Generates a sense of direction, values to live by or work by, and well-understood and accepted policies that tell organization members how they should behave or what they should do in certain... View Details

17 Feb 2020
Sharpening Your Skills

How Entrepreneurs Can Find the Right Problem to Solve

that problem. Validating hypotheses about the problem through a variety of methods is going to lead to a far better outcome than clicks on a Facebook ad. Consider trying these different types of problem-validation tests in your discovery... View Details

Keywords: by Julia Austin

18 Nov 2016
Conference Presentation

Rawlsian Fairness for Machine Learning

By: Matthew Joseph, Michael J. Kearns, Jamie Morgenstern, Seth Neel and Aaron Leon Roth

Motivated by concerns that automated decision-making procedures can unintentionally lead to discriminatory behavior, we study a technical definition of fairness modeled after John Rawls' notion of "fair equality of opportunity". In the context of a simple model of... View Details

Keywords: Machine Learning; Algorithms; Fairness; Decision Making; Mathematical Methods

July 2006
Article

Dynamic Mixed Duopoly: A Model Motivated by Linux vs. Windows

By: Ramon Casadesus-Masanell and Pankaj Ghemawat

This paper analyzes a dynamic mixed duopoly in which a profit-maximizing competitor interacts with a competitor that prices at zero (or marginal cost), with the cumulation of output affecting their relative positions over time. The modeling effort is motivated by... View Details

2021
Conference Presentation

An Algorithmic Framework for Fairness Elicitation

By: Christopher Jung, Michael J. Kearns, Seth Neel, Aaron Leon Roth, Logan Stapleton and Zhiwei Steven Wu

We consider settings in which the right notion of fairness is not captured by simple mathematical definitions (such as equality of error rates across groups), but might be more complex and nuanced and thus require elicitation from individual or collective stakeholders.... View Details

Keywords: Algorithmic Fairness; Machine Learning; Fairness; Framework; Mathematical Methods

August 2018
Article

Extrapolation and Bubbles

By: Nicholas Barberis, Robin Greenwood, Lawrence Jin and Andrei Shleifer

We present an extrapolative model of bubbles. In the model, many investors form their demand for a risky asset by weighing two signals: an average of the asset’s past price changes and the asset’s degree of overvaluation. The two signals are in conflict, and investors... View Details

Keywords: Bubble; Extrapolation; Volume; Price Bubble; Mathematical Methods

29 Jul 2002
Research & Ideas

Time Pressure and Creativity: Why Time is Not on Your Side

teams in 7 companies in 3 industries—fill out a brief electronic diary every day during the entire course of a creative project they were doing in their jobs. Q: The methodology and complexity of the research itself is staggering. Why did you employ the... View Details

Keywords: by Sean Silverthorne; Education; Fine Arts

Article

Hinged Dissections Exist

By: Timothy G. Abbott, Zachary Abel, David Charlton, Erik D. Demaine, Martin L. Demaine and Scott Duke Kominers

We prove that any finite collection of polygons of equal area has a common hinged dissection. That is, for any such collection of polygons there exists a chain of polygons hinged at vertices that can be folded in the plane continuously without self-intersection to form... View Details

Keywords: Folding; Reconfiguration; Hinge; Plygon; Refinement; Mathematical Methods

2021
Working Paper

Population Interference in Panel Experiments

By: Iavor I Bojinov, Kevin Wu Han and Guillaume Basse

The phenomenon of population interference, where a treatment assigned to one experimental unit affects another experimental unit's outcome, has received considerable attention in standard randomized experiments. The complications produced by population interference in... View Details

Keywords: Finite Population; Potential Outcomes; Dynamic Causal Effects; Mathematical Methods

SSRN

Research Summary

Understanding Customers

In conventional business case studies, protagonists almost never have the option of stepping back to seek a new understanding of the customer. But to be effective in practice, managers need both the self-assurance and ability to initiate and pursue, with rigor and... View Details

March 2002
Article

The Potential Role of Economic Cost Models in the Regulation of Telecommunications in Developing Countries

What is the efficient cost of providing telecommunications services to a certain area or type of customer? As developing countries build up their capacity to regulate infrastructure monopolies, cost models are likely to prove increasingly important in answering... View Details

Keywords: Information; Cost; Mathematical Methods; Developing Countries and Economies; Telecommunications Industry