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- All HBS Web (169)
- Faculty Publications (72)
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- All HBS Web (169)
- Faculty Publications (72)
- 10 Jan 2018
- Blog Post
8 Tips to Help You Prepare for the Case Method
graduation, I hope to continue pursuing my passion while focusing on the building and scaling of innovative products in the renewable energy space. About the Case Method The case method is at the core of... View Details
- Web
Teaching by the Case Method - Christensen Center for Teaching & Learning
Teaching Questions for Class Discussions Teaching Quantitative Material Strategies and Tactics for Sensitive Topics Curriculum Innovation The case method has evolved so students may act as decision-makers in new engaging formats: Game... View Details
- October 2007
- Article
The Effectiveness of Pre-Release Advertising for Motion Pictures: An Empirical Investigation Using a Simulated Market
By: Anita Elberse and Bharat N. Anand
One of the most visible and publicized trends in the movie industry is the escalation in movie advertising expenditures over time. Yet, the returns to movie advertising are poorly understood. The main reason is that disentangling the causal effect of advertising on... View Details
Keywords: Advertising; Stocks; Investment Return; Price; Revenue; Quality; Mathematical Methods; Motion Pictures and Video Industry
Elberse, Anita, and Bharat N. Anand. "The Effectiveness of Pre-Release Advertising for Motion Pictures: An Empirical Investigation Using a Simulated Market." Information Economics and Policy 19, nos. 3-4 (October 2007): 319–343. (Special Issue on Economics of the Media.)
- 2022
- Article
When Regular Meets Remarkable: Awe as a Link between Routine Work and Meaningful Self-narratives
By: Elizabeth Sheprow and Spencer Harrison
Daily narratives of work can include a mix of ordinary actions and awe-inspiring moments that reveal a vaster, more meaningful reality. When awe is experienced in the context of work, it can prompt self-referential sensemaking about what these experiences mean for the... View Details
Sheprow, Elizabeth, and Spencer Harrison. "When Regular Meets Remarkable: Awe as a Link between Routine Work and Meaningful Self-narratives." Organizational Behavior and Human Decision Processes 170 (May 2022).
- 02 Aug 2022
- Blog Post
From HBS to Cutting-Edge Tech
internationally-recognized brand was a deciding factor too. HBS was the only one that fit the bill. A lot of schools prepare you for your first post-MBA job, but the HBS case method goes further. HBS classroom discussions View Details
- 2022
- Article
Nonparametric Subset Scanning for Detection of Heteroscedasticity
By: Charles R. Doss and Edward McFowland III
We propose Heteroscedastic Subset Scan (HSS), a novel method for identifying covariates that are responsible for violations of the homoscedasticity assumption in regression settings. Viewing the problem as one of anomalous pattern detection, we use subset scanning... View Details
Doss, Charles R., and Edward McFowland III. "Nonparametric Subset Scanning for Detection of Heteroscedasticity." Journal of Computational and Graphical Statistics 31, no. 3 (2022): 813–823.
Shunyuan Zhang
Shunyuan Zhang is an assistant professor in the Marketing unit at Harvard Business School. She teaches the first-year Marketing course in the MBA required curriculum.
Professor Zhang studies the sharing economy and the marketing problems that the dynamics of... View Details
- April 2014
- Tutorial
Conjoint Analysis: Online Tutorial
By: Elie Ofek and Olivier Toubia
The Conjoint Analysis: Online Tutorial is an interactive pedagogical vehicle intended to facilitate understanding of one of the most popular market research methods in academia and practice, namely conjoint analysis. The aim is to provide students or executives going... View Details
- November 2021
- Article
Gaussian Process Subset Scanning for Anomalous Pattern Detection in Non-iid Data
By: William Herlands, Edward McFowland III, Andrew Gordon Wilson and Daniel B. Neill
Identifying anomalous patterns in real-world data is essential for understanding where, when, and how systems deviate from their expected dynamics. Yet methods that separately consider the anomalousness of each individual data point have low detection power for subtle,... View Details
Herlands, William, Edward McFowland III, Andrew Gordon Wilson, and Daniel B. Neill. "Gaussian Process Subset Scanning for Anomalous Pattern Detection in Non-iid Data." Proceedings of Machine Learning Research (PMLR) 84 (2018): 425–434. (Also presented at the 21st International Conference on Artificial Intelligence and Statistics (AISTATS), 2018.)
- Research Summary
Hedging Asian Options: Closed-Form Solutions Using the Malliavin Calculus
Hedging path-dependent options requires non-standard tools because the price processes no longer have smooth stochastic differentials. I show how the Malliavin calculus can be used to overcome the specific difficulties introduced by the averaging behavior of... View Details
- 2023
- Working Paper
Debiasing Treatment Effect Estimation for Privacy-Protected Data: A Model Auditing and Calibration Approach
By: Ta-Wei Huang and Eva Ascarza
Data-driven targeted interventions have become a powerful tool for organizations to optimize business outcomes
by utilizing individual-level data from experiments. A key element of this process is the estimation
of Conditional Average Treatment Effects (CATE), which... View Details
Huang, Ta-Wei, and Eva Ascarza. "Debiasing Treatment Effect Estimation for Privacy-Protected Data: A Model Auditing and Calibration Approach." Harvard Business School Working Paper, No. 24-034, December 2023.
- 2009
- Simulation
Finance Simulation: Blackstone/Celanese: No. 3712.
By: Nabil N. El-Hage and Timothy A. Luehrman
The Finance Simulation: Blackstone/Celanese is based on the landmark acquisition of Celanese AG by the Blackstone Group in 2003. Students play the role of either Celanese or Blackstone and conduct due diligence, establish deal terms, respond to bids and counter-bids,... View Details
- 08 Jun 2011
- Lessons from the Classroom
Twenty-first Century Skill: Trading Carbon Credits
parts and permutations—really works. A carbon trading simulation designed by Harvard Business School professor Peter Coles gives students the opportunity to experience firsthand the pressure-packed decision-making process and uncertainty... View Details
- 2023
- Working Paper
Efficient Discovery of Heterogeneous Quantile Treatment Effects in Randomized Experiments via Anomalous Pattern Detection
By: Edward McFowland III, Sriram Somanchi and Daniel B. Neill
In the recent literature on estimating heterogeneous treatment effects, each proposed method makes its own set of restrictive assumptions about the intervention’s effects and which subpopulations to explicitly estimate. Moreover, the majority of the literature provides... View Details
Keywords: Causal Inference; Program Evaluation; Algorithms; Distributional Average Treatment Effect; Treatment Effect Subset Scan; Heterogeneous Treatment Effects
McFowland III, Edward, Sriram Somanchi, and Daniel B. Neill. "Efficient Discovery of Heterogeneous Quantile Treatment Effects in Randomized Experiments via Anomalous Pattern Detection." Working Paper, 2023.
- 28 Oct 2011
- Working Paper Summaries
Fairness, Efficiency, and Flexibility in Organ Allocation for Kidney Transplantation
- March 2022
- Article
Estimating the Effectiveness of Permanent Price Reductions for Competing Products Using Multivariate Bayesian Structural Time Series Models
By: Fiammetta Menchetti and Iavor Bojinov
Researchers regularly use synthetic control methods for estimating causal effects when a sub-set of units receive a single persistent treatment, and the rest are unaffected by the change. In many applications, however, units not assigned to treatment are nevertheless... View Details
Keywords: Causal Inference; Partial Interference; Synthetic Controls; Bayesian Structural Time Series; Mathematical Methods
Menchetti, Fiammetta, and Iavor Bojinov. "Estimating the Effectiveness of Permanent Price Reductions for Competing Products Using Multivariate Bayesian Structural Time Series Models." Annals of Applied Statistics 16, no. 1 (March 2022): 414–435.
- January 2008
- Background Note
Equity Options
By: Joshua Coval and Erik Stafford
The goal of this simulation is to understand the reliance of option values on volatility. When an investor trades an option, they are essentially trading volatility. Therefore, much of the focus in this lesson is on forecasting volatility. Students are able to use two... View Details
Keywords: Volatility; Forecasting and Prediction; Stock Options; Investment Return; Price; Market Transactions; Mathematical Methods; Value
Coval, Joshua, and Erik Stafford. "Equity Options." Harvard Business School Background Note 208-118, January 2008.
- January 2008
- Background Note
Index Options
By: Joshua Coval and Erik Stafford
The goal of this simulation is to understand the patterns in index option prices that are not predicted by the Black-Scholes model. In particular, the simulation focuses on two properties of options prices. First, at-the-money implied volatilities from index options... View Details
Keywords: Volatility; Stock Options; Investment; Price; Profit; Risk Management; Mathematical Methods
Coval, Joshua, and Erik Stafford. "Index Options." Harvard Business School Background Note 208-119, January 2008.
- April 1990
- Case
Clark Material Handling Group-Overseas: Brazilian Product Strategy (A&B) (Condensed)
By: Robert J. Dolan
Assumes some knowledge of conjoint analysis. Permits analysis of basic results and dynamic market simulations in one class session. View Details
Dolan, Robert J. "Clark Material Handling Group-Overseas: Brazilian Product Strategy (A&B) (Condensed)." Harvard Business School Case 590-081, April 1990.
- October 1992
- Case
Charles River Jazz Festival
Charles River Jazz Festival must decide whether to press a compact disk (CD) of Friday's jazz performance for sale on Saturday and Sunday. The idea to press CDs is novel, so there is considerable uncertainty about how receptive customers will be. The festival must... View Details
Wu, George. "Charles River Jazz Festival." Harvard Business School Case 893-004, October 1992.