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1999
Other Unpublished Work

Estimating Industry Multiples

By: Malcolm Baker and R. S. Ruback

We analyze industry multiples for the S&P 500 in 1995. We use Gibbs sampling to estimate simultaneously the error specification and small sample minimum variance multiples for 22 industries. In addition, we consider the performance of four common multiples: the simple... View Details

Keywords: Management Analysis, Tools, and Techniques; Performance; Mathematical Methods

Article

Mitigating Bias in Adaptive Data Gathering via Differential Privacy

By: Seth Neel and Aaron Leon Roth

Data that is gathered adaptively—via bandit algorithms, for example—exhibits bias. This is true both when gathering simple numeric valued data—the empirical means kept track of by stochastic bandit algorithms are biased downwards—and when gathering more complicated... View Details

Keywords: Bandit Algorithms; Bias; Analytics and Data Science; Mathematical Methods; Theory

June 2005 (Revised March 2006)
Case

E Ink in 2005

By: David B. Yoffie and Barbara Mack

Explores the challenges of commercializing a bleeding-edge technology. After seven years, E Ink has spent more than $100 million to commercialize electronic ink. With business momentum picking up, but resources running out, the case examines the key trade-offs in... View Details

Keywords: Technological Innovation; Commercialization; Mathematical Methods; Consumer Products Industry; Technology Industry

Profile

Tessa Vacher-Desvernais

analytics, but truly appreciate aesthetics. I’m very conscious of my inner tension between analytical and creative thinking.” Following her mathematical and sciences baccalaureate, she pursued liberal arts at an all-girl military boarding... View Details

Keywords: Retail/Hospitality; Financial Services

June 2024
Article

Redistributive Allocation Mechanisms

By: Mohammad Akbarpour, Piotr Dworczak and Scott Duke Kominers

Many scarce public resources are allocated at below-market-clearing prices, and sometimes for free. Such "non-market" mechanisms sacrifice some surplus, yet they can potentially improve equity. We develop a model of mechanism design with redistributive concerns. Agents... View Details

Keywords: Equality and Inequality; Welfare; Mathematical Methods; Market Design; Cost vs Benefits

May 2010
Teaching Note

Flare Fragrances Company, Inc.: Analyzing Growth Opportunities (Brief Case)

By: John A. Quelch and Lisa D. Donovan

Teaching note to case #4550 View Details

Keywords: Quantitative Analysis; Market Segmentation; Product Introduction; New Product Marketing; Product Lines; Product Positioning; Distribution; Mathematical Methods; Product Launch; Segmentation

February 2010
Supplement

Marketing Analysis Toolkit: Breakeven Analysis (CW)

By: Thomas J. Steenburgh and Jill Avery

This Excel worksheet contains sample problems, prebuilt Excel models to run breakeven analyses, and charts and graphs which help visualize the results. It is designed to accompany "Marketing Analysis Toolkit: Breakeven Analysis." View Details

Keywords: Mathematical Methods; Marketing; Decisions; Planning; Marketing Strategy; Management Analysis, Tools, and Techniques

June 2008
Article

The Market for Mergers and the Boundaries of the Firm

By: Matthew Rhodes-Kropf and David Robinson

We relate the property rights theory of the firm to empirical regularities in the market for mergers and acquisitions. We first show that high market-to-book acquirers typically do not purchase low market-to-book targets. Instead, mergers pair together firms with... View Details

Keywords: Mergers and Acquisitions; Assets; Investment; Property; Mathematical Methods; Boundaries

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2008
Working Paper

Taste Heterogeneity, IIA, and the Similarity Critique

By: Thomas J. Steenburgh and Andrew Ainslie

The purpose of this paper is to show that allowing for taste heterogeneity does not address the similarity critique of discrete-choice models. Although IIA may technically be broken in aggregate, the mixed logit model allows neither a given individual nor the... View Details

Keywords: Decision Choices and Conditions; Mathematical Methods; Behavior; Prejudice and Bias

2023
Working Paper

Design-Based Inference for Multi-arm Bandits

By: Dae Woong Ham, Iavor I. Bojinov, Michael Lindon and Martin Tingley

Multi-arm bandits are gaining popularity as they enable real-world sequential decision-making across application areas, including clinical trials, recommender systems, and online decision-making. Consequently, there is an increased desire to use the available... View Details

Keywords: Analytics and Data Science; Mathematical Methods

2024
Working Paper

Bootstrap Diagnostics for Irregular Estimators

By: Isaiah Andrews and Jesse M. Shapiro

Empirical researchers frequently rely on normal approximations in order to summarize and communicate uncertainty about their findings to their scientific audience. When such approximations are unreliable, they can lead the audience to make misguided decisions. We... View Details

Keywords: Mathematical Methods; Decision Choices and Conditions

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2023
Working Paper

Distributionally Robust Causal Inference with Observational Data

By: Dimitris Bertsimas, Kosuke Imai and Michael Lingzhi Li

We consider the estimation of average treatment effects in observational studies and propose a new framework of robust causal inference with unobserved confounders. Our approach is based on distributionally robust optimization and proceeds in two steps. We first... View Details

Keywords: AI and Machine Learning; Mathematical Methods

2023
Article

On Minimizing the Impact of Dataset Shifts on Actionable Explanations

By: Anna P. Meyer, Dan Ley, Suraj Srinivas and Himabindu Lakkaraju

The Right to Explanation is an important regulatory principle that allows individuals to request actionable explanations for algorithmic decisions. However, several technical challenges arise when providing such actionable explanations in practice. For instance, models... View Details

Keywords: Mathematical Methods; Analytics and Data Science

Article

Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error

By: Celia Cintas, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan and Edward McFowland III

Reliably detecting attacks in a given set of inputs is of high practical relevance because of the vulnerability of neural networks to adversarial examples. These altered inputs create a security risk in applications with real-world consequences, such as self-driving... View Details

Keywords: Autoencoder Networks; Pattern Detection; Subset Scanning; Computer Vision; Statistical Methods And Machine Learning; Machine Learning; Deep Learning; Data Mining; Big Data; Large-scale Systems; Mathematical Methods; Analytics and Data Science

2017
Working Paper

Investment Timing with Costly Search for Financing

By: Samuel Antill

I develop a dynamic model of investment timing in which firms must first choose when to search for external financing. Search is costly and the arrival of investors is uncertain, leading to delay in financing and investment. Depending on parameters, my model can... View Details

Keywords: Real Options; Search And Bargaining; Time-varying Financial Conditions; Investment; Venture Capital; Mathematical Methods

January 2011
Teaching Note

AIC Netbooks: Optimizing Product Assembly (Brief Case)

By: Steven C. Wheelwright and Sunru Yong

Teaching Note for 4245. View Details

Keywords: Performance Management; Quantitative Analysis; Manufacturing; Production Planning; Production Management; Production; Mathematical Methods; Performance Evaluation; Planning; Manufacturing Industry

1981
Chapter

Productivity Measurement at the Level of the Firm: An Application within the Service Industry

By: Hirotaka Takeuchi

Keywords: Performance Productivity; Measurement and Metrics; Mathematical Methods; Service Industry

November 1989 (Revised March 1992)
Background Note

Concept Testing

By: Robert J. Dolan

Describes concept testing products. Presents guidelines for effective design, execution, and interpretation of test procedures. Discusses limitations of these techniques and sets out the situations for which they are appropriate. View Details

Keywords: Marketing; Mathematical Methods; Forecasting and Prediction

March 2008 (Revised February 2009)
Case

Transparent Value LLC

By: Sharon P. Katz, Krishna G. Palepu and Aldo Sesia, Jr.

Leading index company Dow Jones recently signed a license and joint marketing agreement with Transparent Value LLC, the creator of a new fundamentals-based valuation methodology. The agreement allowed Dow Jones to offer a family of indexes based on the Transparent... View Details

Keywords: Asset Management; Stocks; Price; Performance Expectations; Mathematical Methods; Valuation

01 Jun 1997
News

Jennifer L. Scott

year the show is reinvented," she explains. "It's a lot like a startup." Scott has always sought out new challenges and ventures. After graduating from Georgetown University's School of Foreign Service, she taught mathematics and business... View Details

Keywords: Susan Young

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