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- June 2013 (Revised November 2022)
- Exercise
Competition Simulator Exercise
In the Competition Simulator Exercise, students explore through trial and error some important economic foundations of competitive strategy and managerial economics. In particular, the nine simulator exercises let students explore horizontal differentiation with and... View Details
Keywords: Competition; Economics; Game Theory; Competitive Strategy; Learning; Mathematical Methods; Analysis
Van den Steen, Eric J. "Competition Simulator Exercise." Harvard Business School Exercise 713-804, June 2013. (Revised November 2022.)
- October 2000 (Revised December 2000)
- Exercise
Participant and Leader Behavior: Group Decision Simulation (D)
This series provides the instructions for a group decision-making simulation in which students experience four different methods for leading a group decision process. In the simulation, all students work in groups, with one person designated as the team leader. All... View Details
"Participant and Leader Behavior: Group Decision Simulation (D)." Harvard Business School Exercise 301-029, October 2000. (Revised December 2000.)
- October 2000 (Revised December 2000)
- Exercise
Participant and Leader Behavior: Group Decision Simulation (F)
This series provides the instructions for a group decision-making simulation in which students experience four different methods for leading a group decision process. In the simulation, all students work in groups, with one person designated as the team leader. All... View Details
"Participant and Leader Behavior: Group Decision Simulation (F)." Harvard Business School Exercise 301-049, October 2000. (Revised December 2000.)
- October 2000 (Revised December 2000)
- Exercise
Participant and Leader Behavior: Group Decision Simulation (B)
This series provides the instructions for a group decision-making simulation in which students experience four different methods for leading a group decision process. In the simulation, all students work in groups, with one person designated as the team leader. All... View Details
"Participant and Leader Behavior: Group Decision Simulation (B)." Harvard Business School Exercise 301-027, October 2000. (Revised December 2000.)
- October 2000 (Revised December 2000)
- Exercise
Participant and Leader Behavior: Group Decision Simulation (A)
This series provides the instructions for a group decision-making simulation in which students experience four different methods for leading a group decision process. In the simulation, all students work in groups, with one person designated as the team leader. All... View Details
"Participant and Leader Behavior: Group Decision Simulation (A)." Harvard Business School Exercise 301-026, October 2000. (Revised December 2000.)
- October 2000 (Revised December 2000)
- Exercise
Participant and Leader Behavior: Group Decision Simulation (C)
This series provides the instructions for a group decision-making simulation in which students experience four different methods for leading a group decision process. In the simulation, all students work in groups, with one person designated as the team leader. All... View Details
"Participant and Leader Behavior: Group Decision Simulation (C)." Harvard Business School Exercise 301-028, October 2000. (Revised December 2000.)
- October 2000 (Revised December 2000)
- Exercise
Participant and Leader Behavior: Group Decision Simulation (E)
This series provides the instructions for a group decision-making simulation in which students experience four different methods for leading a group decision process. In the simulation, all students work in groups, with one person designated as the team leader. All... View Details
"Participant and Leader Behavior: Group Decision Simulation (E)." Harvard Business School Exercise 301-030, October 2000. (Revised December 2000.)
- September 1993 (Revised August 2011)
- Exercise
ExtendSim® Simulation Exercises in Process Analysis (B)
By: Roy D. Shapiro
Second set of exercises meant to be used with ExtendSim, a simulation package created by Imagine That, Inc. of San Jose, California, that allows students to investigate the impact of adding buffers to simple in-line processes with uncertain processing times. View Details
Shapiro, Roy D. "ExtendSim® Simulation Exercises in Process Analysis (B)." Harvard Business School Exercise 694-040, September 1993. (Revised August 2011.)
- September 1993 (Revised August 2011)
- Exercise
ExtendSim® Simulation Exercises in Process Analysis (A)
By: Roy D. Shapiro
First set of exercises meant to be used with ExtendSim, a simulation system created by Imagine That, Inc. of San Jose, California. These exercises allow students to investigate the impact of variable processing times on the performance of simple in-line processes.... View Details
Shapiro, Roy D. "ExtendSim® Simulation Exercises in Process Analysis (A)." Harvard Business School Exercise 694-039, September 1993. (Revised August 2011.)
- January 1997
- Background Note
Simulation as a Decision Aid
By: Roy D. Shapiro
A brief introduction to simulation--what it is, why it's used, etc. Meant to set context for a first class on simulation. A rewritten version of an earlier note. View Details
Shapiro, Roy D. "Simulation as a Decision Aid." Harvard Business School Background Note 697-062, January 1997.
- January 1984
- Article
A Simulation Analysis of Alternative Pricing Strategies for Dynamic Environments
By: Robert J. Dolan
Researchers of the strategic implications of the well-known demand (e.g., adoption and diffusion) and supply (e.g., experience effects) dynamics have typically sought analytical solutions. Their success in this has been achieved partly by limiting the richness of the... View Details
Dolan, Robert J. "A Simulation Analysis of Alternative Pricing Strategies for Dynamic Environments." Journal of Business 57, no. 1 (January 1984).
- 05 Sep 2008
- What Do You Think?
Is Case Method Instruction Due for an Overhaul?
Summing Up Is the case method gaining relevance over time? Case method instruction may not be perfect, but to paraphrase Winston Churchill's view of democracy (and Sameer Kamat's response to the column),... View Details
- 1976
- Other Unpublished Work
Simulation of the Market Effects of Housing Allowance
By: Dutch Leonard, Gregory K. Ingram and Robert Schafer
- 2024
- Working Paper
The Cram Method for Efficient Simultaneous Learning and Evaluation
By: Zeyang Jia, Kosuke Imai and Michael Lingzhi Li
We introduce the "cram" method, a general and efficient approach to simultaneous learning and evaluation using a generic machine learning (ML) algorithm. In a single pass of batched data, the proposed method repeatedly trains an ML algorithm and tests its empirical... View Details
Keywords: AI and Machine Learning
Jia, Zeyang, Kosuke Imai, and Michael Lingzhi Li. "The Cram Method for Efficient Simultaneous Learning and Evaluation." Working Paper, March 2024.
- May 2018
- Article
Nowcasting Gentrification: Using Yelp Data to Quantify Neighborhood Change
By: Edward L. Glaeser, Hyunjin Kim and Michael Luca
Data from digital platforms have the potential to improve our understanding of gentrification and enable new measures of how neighborhoods change in close to real time. Combining data on businesses from Yelp with data on gentrification from the Census, Federal Housing... View Details
Keywords: Forecasting Models; Simulation Methods; Regional Economic Activity: Growth, Development, Environmental Issues, And Changes; Geographic Location; Local Range; Transition; Analytics and Data Science; Measurement and Metrics; Economic Growth; Forecasting and Prediction
Glaeser, Edward L., Hyunjin Kim, and Michael Luca. "Nowcasting Gentrification: Using Yelp Data to Quantify Neighborhood Change." AEA Papers and Proceedings 108 (May 2018): 77–82.
- 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).
- 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.
- 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.)