Publications

1978
Article

Optimal Advertising: An Intra-Industry Approach

By: Michael E. Porter

Keywords: Advertising; Business Ventures

November 2004 (Revised March 2007)
Case

10 Uncommon Values®: Optimizing the Stock-Selection Process

By: Paul M. Healy and Boris Groysberg

In 2003, Steve Hash, research director at Lehman Brothers, prepared to initiate the firm's "Ten Uncommon Values" stock-picking process for the year. An investment committee had to pick the 10 best stocks from about 100 stock ideas presented by the firm's analysts. The... View Details

Keywords: Stocks; Investment; Financial Strategy; Decision Making; Groups and Teams; Financial Services Industry; United States

2016
Chapter

Deriving an Optimally Deceptive Policy in Two-Player Iterated Games

By: Elisabeth Paulson and Christopher Griffin

We formulate the problem of determining an optimally deceptive strategy in a repeated game framework. We assume that two players are engaged in repeated play. During an initial time period, Player 1 may deceptively train his opponent to expect a specific strategy. The... View Details

Keywords: Deception; Strategy; Game Theory

07 Sep 2006
Working Paper Summaries

Optimal Value and Growth Tilts in Long-Horizon Portfolios

Keywords: by Jakub W. Jurek & Luis M. Viceira

Research Summary

Models of optimal experience (flow)

Flow is a state of profound task-absorption, involvement, and intrinsic enjoyment that makes the person feel one with the activity. Csikszentmihalyi's Flow Theory states that flow is more likely to occur in situations in which the person feels that the activity is very... View Details

Research Summary

Optimal Portfolios with Housing Derivatives

Households that contemplate moving to different cities or trading up or down in the fu-ture are exposed to substantial housing risk. In order to mitigate this risk, I derive the op-timal portfolios using housing futures. In addition to the optimum growth portfolio,... View Details

March 2025
Case

O2X: Optimizing to the X

By: Scott Duke Kominers, Thomas Jennings and Maisie Wiltshire-Gordon

October 2014
Teaching Note

Optimization and Expansion at OpenTable

By: Benjamin Edelman

Supplements 915003 View Details

2015
Chapter

Optimal Process Control of Symbolic Transfer Functions

By: Christopher Griffin and Elisabeth Paulson

Transfer function modeling is a standard technique in classical Linear Time Invariant and Statistical Process Control. The work of Box and Jenkins was seminal in developing methods for identifying parameters associated with classical (r, s, k) transfer functions.... View Details

Keywords: Transfer Functions; Markov Processes; Stochastic Models; Process Control; Research; Information Technology

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2021
Article

Fair Influence Maximization: A Welfare Optimization Approach

By: Aida Rahmattalabi, Shahin Jabbari, Himabindu Lakkaraju, Phebe Vayanos, Max Izenberg, Ryan Brown, Eric Rice and Milind Tambe

Several behavioral, social, and public health interventions, such as suicide/HIV prevention or community preparedness against natural disasters, leverage social network information to maximize outreach. Algorithmic influence maximization techniques have been proposed... View Details

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Research Summary

Optimal Reserve Management and Sovereign Debt (with Fabio Kanczuk)

By: Laura Alfaro

Most models currently used to determine optimal foreign reserve holdings take the level of international debt as given. Some of the implications of this analysis, however, may not be generalized once one considers the joint decision to hold debt and reserves by a... View Details

August 2014 (Revised March 2015)
Case

Optimization and Expansion at OpenTable

By: Benjamin Edelman and Karen Webster

OpenTable considers adjustments to increase its benefits to merchants, including a novel payments service that lets customers skip the multi-step process of using a credit card. View Details

Keywords: Payments; Pricing; Mobile; Rollout; Incrementality; Innovation Strategy; Credit Cards; Accommodations Industry; Information Technology Industry; United States

Article

Distributionally Robust Optimization and Its Tractable Approximations

By: Joel Goh and Melvyn Sim

In this paper we focus on a linear optimization problem with uncertainties, having expectations in the objective and in the set of constraints. We present a modular framework to obtain an approximate solution to the problem that is distributionally robust and more... View Details

Keywords: Information Technology; Mathematical Methods; Operations

September 2019
Article

Optimizing Reserves in School Choice: A Dynamic Programming Approach

By: Franklyn Wang, Ravi Jagadeesan and Scott Duke Kominers

We introduce a new model of school choice with reserves in which a social planner is constrained by a limited supply of reserve seats and tries to find an optimal matching according to a social welfare function. We construct the optimal distribution of reserves via a... View Details

Keywords: Matching; Reserves; Dynamic Programming; Marketplace Matching; Mathematical Methods