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  • All HBS Web  (1,969)
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    • News  (289)
    • Research  (1,171)
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  • 05 Sep 2006
  • Working Paper Summaries

Optimal Reserve Management and Sovereign Debt

Keywords: by Laura Alfaro & Fabio Kanczuk
  • July 2024
  • Technical Note

Introduction to Optimization Using Python

By: Michael Parzen and Jo Ellery
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Parzen, Michael, and Jo Ellery. "Introduction to Optimization Using Python." Harvard Business School Technical Note 625-017, July 2024.
  • 1978
  • Article

Optimal Advertising: An Intra-Industry Approach

By: Michael E. Porter
Keywords: Advertising; Business Ventures
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Porter, Michael E. "Optimal Advertising: An Intra-Industry Approach." Issues in Advertising: The Economics of Persuasion (1978).
  • 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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Rahmattalabi, Aida, Shahin Jabbari, Himabindu Lakkaraju, Phebe Vayanos, Max Izenberg, Ryan Brown, Eric Rice, and Milind Tambe. "Fair Influence Maximization: A Welfare Optimization Approach." Proceedings of the AAAI Conference on Artificial Intelligence 35th (2021).
  • 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
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Healy, Paul M., and Boris Groysberg. "10 Uncommon Values®: Optimizing the Stock-Selection Process." Harvard Business School Case 405-022, November 2004. (Revised March 2007.)
  • 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
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Paulson, Elisabeth, and Christopher Griffin. "Deriving an Optimally Deceptive Policy in Two-Player Iterated Games." In Proceedings of 2016 American Control Conference. IEEE Press, 2016. (Developed with Booz Allen Hamilton.)
  • March 2025
  • Case

O2X: Optimizing to the X

By: Scott Duke Kominers, Thomas Jennings and Maisie Wiltshire-Gordon
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Kominers, Scott Duke, Thomas Jennings, and Maisie Wiltshire-Gordon. "O2X: Optimizing to the X." Harvard Business School Case 825-113, March 2025.
  • October 2014
  • Teaching Note

Optimization and Expansion at OpenTable

By: Benjamin Edelman
Supplements 915003 View Details
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Edelman, Benjamin. "Optimization and Expansion at OpenTable." Harvard Business School Teaching Note 915-013, October 2014.
  • 07 Sep 2006
  • Working Paper Summaries

Optimal Value and Growth Tilts in Long-Horizon Portfolios

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

Optimal Taxation in Theory and Practice

By: N. Gregory Mankiw, Matthew C. Weinzierl and Danny Yagan
We highlight and explain eight lessons from optimal tax theory and compare them to the last few decades of OECD tax policy. As recommended by theory, top marginal income tax rates have declined, marginal income tax schedules have flattened, redistribution has risen... View Details
Keywords: Taxation; Theory; Practice; Policy
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Mankiw, N. Gregory, Matthew C. Weinzierl, and Danny Yagan. "Optimal Taxation in Theory and Practice." Journal of Economic Perspectives 23, no. 4 (Fall 2009): 147–174.
  • 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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Griffin, Christopher, and Elisabeth Paulson. "Optimal Process Control of Symbolic Transfer Functions." In Proceedings of the 10th International Workshop on Feedback Computing. IEEE, 2015.
  • 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
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Goh, Joel, and Melvyn Sim. "Distributionally Robust Optimization and Its Tractable Approximations." Operations Research 58, no. 4 (pt.1) (July–August 2010): 902–917.
  • 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
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Wang, Franklyn, Ravi Jagadeesan, and Scott Duke Kominers. "Optimizing Reserves in School Choice: A Dynamic Programming Approach." Operations Research Letters 47, no. 5 (September 2019): 438–446.
  • 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
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Edelman, Benjamin, and Karen Webster. "Optimization and Expansion at OpenTable." Harvard Business School Case 915-003, August 2014. (Revised March 2015.) (request courtesy copy.)
  • 2006
  • Working Paper

Optimal Reserve Management and Sovereign Debt

By: Laura Alfaro and Fabio Kanczuk
Citation
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Alfaro, Laura, and Fabio Kanczuk. "Optimal Reserve Management and Sovereign Debt." Harvard Business School Working Paper, No. 07-010, August 2006. (Also NBER Working Paper No. 13216. NBER Working Paper Series, No. 13216, July 2006)
  • Article

Optimal Taxation When Children's Abilities Depend on Parents' Resources

By: Alexander Gelber and Matthew Weinzierl
Empirical research suggests that parents' economic resources affect their children's future earnings abilities. Optimal tax policy therefore treats future ability distributions as endogenous to current taxes. We model this endogeneity, calibrate the model to match... View Details
Keywords: Taxation; Family and Family Relationships; Welfare
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Gelber, Alexander, and Matthew Weinzierl. "Optimal Taxation When Children's Abilities Depend on Parents' Resources." National Tax Journal 69, no. 1 (March 2016): 11–40. (Winner, Richard A. Musgrave prize for best paper published in the NTJ. Also HBS Working Paper 13-014 and NBER Working Paper 18332.)
  • January 2021
  • Supplement

E-Commerce Analytics for CPG Firms (B): Optimizing Assortment for a New Retailer

By: Ayelet Israeli and Fedor (Ted) Lisitsyn
The E-Commerce Analytics group at the traditional CPG firm was in charge of compiling various online sales reports, as well as making data-driven recommendations for sales and marketing tactics. In a series of exercises, students address different data challenges for... View Details
Keywords: Data Analysis; Data Analytics; CPG; Consumer Packaged Goods (CPG); Online Channel; Retail; Retail Analytics; Retailing Industry; Data; Data Sharing; Ecommerce; Assortment Optimization; Assortment Planning; Analytics and Data Science; Retention; Retail Industry; Consumer Products Industry; United States
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Israeli, Ayelet, and Fedor (Ted) Lisitsyn. "E-Commerce Analytics for CPG Firms (B): Optimizing Assortment for a New Retailer." Harvard Business School Spreadsheet Supplement 521-713, January 2021.
  • 05 Aug 2011
  • Working Paper Summaries

An Exploration of Optimal Stabilization Policy

Keywords: by N. Gregory Mankiw & Matthew C. Weinzierl
  • Article

Optimizing Organic Waste to Energy Operations

By: Baris Ata, Deishin Lee and Mustafa H. Tongarlak
A waste-to-energy firm that recycles organic waste with energy recovery performs two environmentally beneficial functions: it diverts waste from landfill and it produces renewable energy. At the same time, the waste-to-energy firm serves and collects revenue from two... View Details
Keywords: Business Ventures; Energy Generation; Renewable Energy; Revenue; Customers; Strategy; Corporate Governance; Wastes and Waste Processing; Environmental Sustainability; Governing Rules, Regulations, and Reforms; Cost Management; Urban Scope
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Ata, Baris, Deishin Lee, and Mustafa H. Tongarlak. "Optimizing Organic Waste to Energy Operations." Manufacturing & Service Operations Management 14, no. 2 (Spring 2012): 231–244.
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