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(841)
- News (79)
- Research (640)
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- Faculty Publications (635)
Show Results For
- All HBS Web
(841)
- News (79)
- Research (640)
- Events (14)
- Multimedia (4)
- Faculty Publications (635)
- 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
Steenburgh, Thomas J., and Andrew Ainslie. "Taste Heterogeneity, IIA, and the Similarity Critique." Harvard Business School Working Paper, No. 09-049, September 2008.
- 2023
- Working Paper
An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits
By: Biyonka Liang and Iavor I. Bojinov
Typically, multi-armed bandit (MAB) experiments are analyzed at the end of the study and thus require the analyst to specify a fixed sample size in advance. However, in many online learning applications, it is advantageous to continuously produce inference on the... View Details
Liang, Biyonka, and Iavor I. Bojinov. "An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits." Harvard Business School Working Paper, No. 24-057, March 2024.
- October 1, 2021
- Article
An Evaluation of Cross-efficiency Methods: With an Application to Warehouse Performance.
By: B.M. Balk, M.R. De Koster, Christian Kaps and J.L. Zofio
Cross-efficiency measurement is an extension of Data Envelopment Analysis that allows for tie-breaking ranking of the Decision Making Units (DMUs) using all the peer evaluations. In this article we examine the theory of cross-efficiency measurement by comparing a... View Details
Keywords: Efficiency Analysis; Performance Benchmarking; Warehousing; Analytics and Data Science; Performance Evaluation; Measurement and Metrics; Mathematical Methods
Balk, B.M., M.R. De Koster, Christian Kaps, and J.L. Zofio. "An Evaluation of Cross-efficiency Methods: With an Application to Warehouse Performance." Art. 126261. Applied Mathematics and Computation 406 (October 1, 2021).
- 2022
- Working Paper
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
By: Satyapriya Krishna, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu and Himabindu Lakkaraju
As various post hoc explanation methods are increasingly being leveraged to explain complex models in high-stakes settings, it becomes critical to develop a deeper understanding of if and when the explanations output by these methods disagree with each other, and how... View Details
Krishna, Satyapriya, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu, and Himabindu Lakkaraju. "The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective." Working Paper, 2022.
- 2023
- Article
Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse
By: Martin Pawelczyk, Teresa Datta, Johannes van-den-Heuvel, Gjergji Kasneci and Himabindu Lakkaraju
As machine learning models are increasingly being employed to make consequential decisions in real-world settings, it becomes critical to ensure that individuals who are adversely impacted (e.g., loan denied) by the predictions of these models are provided with a means... View Details
Pawelczyk, Martin, Teresa Datta, Johannes van-den-Heuvel, Gjergji Kasneci, and Himabindu Lakkaraju. "Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse." Proceedings of the International Conference on Learning Representations (ICLR) (2023).
- November–December 2018
- Article
Online Network Revenue Management Using Thompson Sampling
By: Kris J. Ferreira, David Simchi-Levi and He Wang
We consider a network revenue management problem where an online retailer aims to maximize revenue from multiple products with limited inventory constraints. As common in practice, the retailer does not know the consumer's purchase probability at each price and must... View Details
Keywords: Online Marketing; Revenue Management; Revenue; Management; Marketing; Internet and the Web; Price; Mathematical Methods
Ferreira, Kris J., David Simchi-Levi, and He Wang. "Online Network Revenue Management Using Thompson Sampling." Operations Research 66, no. 6 (November–December 2018): 1586–1602.
- Winter 2017
- Article
Why Big Data Isn't Enough
By: Sen Chai and Willy C. Shih
There is a growing belief that sophisticated algorithms can explore huge databases and find relationships independent of any preconceived hypotheses. But in businesses that involve scientific research and technological innovation, this approach is misguided and... View Details
Keywords: Big Data; Science-based; Science; Scientific Research; Data Analytics; Data Science; Data-driven Management; Data Scientists; Technological Innovation; Analytics and Data Science; Mathematical Methods; Theory
Chai, Sen, and Willy C. Shih. "Why Big Data Isn't Enough." Art. 58227. MIT Sloan Management Review 58, no. 2 (Winter 2017): 57–61.
- May 2011
- Teaching Note
Baria Planning Solutions, Inc.: Fixing the Sales Process (Brief Case)
By: Steven C. Wheelwright and William Schmidt
Teaching Note for 4568. View Details
- May 1993
- Case
Patient Transfusion Services Lab of Central Blood Bank
By: James L. Heskett
The vice president of the Lab and Clinical Services at Central Blood Bank is faced with the challenge of convincing a hospital to use economical shared patient transfusion testing services. View Details
Keywords: Health Care and Treatment; Quality; Service Operations; Mathematical Methods; Customer Satisfaction; Health Industry
Heskett, James L. "Patient Transfusion Services Lab of Central Blood Bank." Harvard Business School Case 693-091, May 1993.
- July 2019
- Article
Optimal Capital Structure and Bankruptcy Choice: Dynamic Bargaining vs Liquidation
By: Samuel Antill and Steven R. Grenadier
We model a firm’s optimal capital structure decision in a framework in which it may later choose to enter either Chapter 11 reorganization or Chapter 7 liquidation. Creditors anticipate equityholders’ ex-post reorganization incentives and price them into the ex-ante... View Details
Keywords: Default; Dynamic Bargaining; Capital Structure; Insolvency and Bankruptcy; Mathematical Methods
Antill, Samuel, and Steven R. Grenadier. "Optimal Capital Structure and Bankruptcy Choice: Dynamic Bargaining vs Liquidation." Journal of Financial Economics 133, no. 1 (July 2019): 198–224.
- 2018
- Working Paper
Algorithm Appreciation: People Prefer Algorithmic to Human Judgment
By: Jennifer M. Logg, Julia A. Minson and Don A. Moore
Even though computational algorithms often outperform human judgment, received wisdom suggests that people may be skeptical of relying on them (Dawes, 1979). Counter to this notion, results from six experiments show that lay people adhere more to advice when they think... View Details
Keywords: Algorithms; Accuracy; Advice Taking; Forecasting; Theory Of Machine; Mathematical Methods; Decision Making; Forecasting and Prediction; Trust
Logg, Jennifer M., Julia A. Minson, and Don A. Moore. "Algorithm Appreciation: People Prefer Algorithmic to Human Judgment." Harvard Business School Working Paper, No. 17-086, March 2017. (Revised April 2018.)
- 2011
- Working Paper
Price Competition under Multinomial Logit Demand Functions with Random Coefficients
In this paper, we postulate a general class of price competition models with Mixed Multinomial Logit demand functions under affine cost functions. We first characterize the equilibrium behavior of this class of models in the case where each product in the market is... View Details
Keywords: Customers; Income Characteristics; Price; Product Marketing; Mathematical Methods; Competition; Segmentation
Allon, Gad, Awi Federgruen, and Margaret Pierson. "Price Competition under Multinomial Logit Demand Functions with Random Coefficients." Harvard Business School Working Paper, No. 12-030, October 2011.
- May 2004
- Article
The Case for International Coordination of Electricity Regulation: Evidence from the Measurement of Efficiency in South America
A decade of experience has shown that monitoring the performance of public and private monopolies is the hardest part of electricity sector reform in South America—because operators control most of the information needed for effective regulation. South American... View Details
Keywords: Information; Mathematical Methods; Monopoly; Globalization; Energy Sources; Energy Industry; South America
Ruzzier, Christian Alejandro, A. Estache, and M. Rossi. "The Case for International Coordination of Electricity Regulation: Evidence from the Measurement of Efficiency in South America." Journal of Regulatory Economics 25, no. 3 (May 2004): 271–295.
- 08 Jul 2013
- Research & Ideas
Everything Must Go: A Strategy for Store Liquidation
emotional activity, but this paper shows the benefits of factoring in a more left-brain mathematical approach as well," says Raman. "If you have 300 stores, and every day you're receiving data on how each of those stores is... View Details
- 01 Jan 2002
- News
Marjorie M.T. Yang (MBA '76)
Chairman & Chief Executive Officer, The Esquel Group Return to Alumni Achievement Awards main page Earlier Education MIT, 1974 B.S., Mathematics Other Jobs Jardine Fleming, January-June, 1974 Having whizzed through MIT in 3 ½ years, Yang... View Details
- 2014
- Working Paper
Search-Based Peer Firms: Aggregating Investor Perceptions Through Internet Co-Searches
By: Charles M.C. Lee, Paul Ma and Charles C.Y. Wang
Applying a "co-search" algorithm to Internet traffic at the SEC's EDGAR web-site, we develop a novel method for identifying economically-related peer firms and for measuring their relative importance. Our results show that firms appearing in chronologically adjacent... View Details
Keywords: Peer Firm; EDGAR Search Traffic; Revealed Preference; Co-search; Industry Classification; Analytics and Data Science; Internet and the Web; Mathematical Methods; Corporate Finance
Lee, Charles M.C., Paul Ma, and Charles C.Y. Wang. "Search-Based Peer Firms: Aggregating Investor Perceptions Through Internet Co-Searches." Harvard Business School Working Paper, No. 13-048, November 2012. (Revised September 2013, March 2014, June 2014, July 2014.)
- 2012
- Working Paper
Level II Negotiations: Helping the Other Side Meet Its 'Behind the Table' Challenges
A long analytic tradition explores the challenge of productively synchronizing "internal" with "external" negotiations, especially focusing on how each side can best manage internal opposition to agreements negotiated "at the table." Implicit in much of this work is... View Details
Keywords: Negotiation; Conflict Management; Agreements and Arrangements; Government and Politics; Mathematical Methods; United States; Germany
Sebenius, James K. "Level II Negotiations: Helping the Other Side Meet Its 'Behind the Table' Challenges." Harvard Business School Working Paper, No. 13-004, July 2012.
- 2008
- Working Paper
Deterring Online Advertising Fraud Through Optimal Payment in Arrears
By: Benjamin Edelman
Online advertisers face substantial difficulty in selecting and supervising small advertising partners. Fraud can be well-hidden, and limited reputation systems reduce accountability. But partners are not paid until after their work is complete, and advertisers can... View Details
Keywords: Misleading and Fraudulent Advertising; Online Advertising; Profit; Corporate Accountability; Partners and Partnerships; Mathematical Methods
Edelman, Benjamin. "Deterring Online Advertising Fraud Through Optimal Payment in Arrears." Harvard Business School Working Paper, No. 08-072, February 2008. (Revised August 2008, October 2008, February 2009.)
- 1988
- Chapter
Evaluation of Government Financial Incentives to Large Scale Energy Projects: A Contingent Claims Approach
By: Carliss Y. Baldwin and Scott P. Mason
- 2005
- Working Paper
Pseudo Market Timing and Predictive Regressions
By: Malcolm Baker, Ryan Taliaferro and Jeffrey Wurgler
A number of studies claim that aggregate managerial decision variables, such as aggregate equity issuance, have power to predict stock or bond market returns. Recent research argues that these results may be driven by an aggregate time-series version of Schultz's... View Details
Keywords: Managerial Roles; Equity; Market Timing; Financial Instruments; Investment Return; Mathematical Methods
Baker, Malcolm, Ryan Taliaferro, and Jeffrey Wurgler. "Pseudo Market Timing and Predictive Regressions." NBER Working Paper Series, No. 10823, January 2005. (First Draft in 2004.)