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- All HBS Web (271)
- Faculty Publications (100)
- October 2022
- Exercise
Shanty Real Estate: Updated Confidential Information for iBuyer
By: Michael Luca, Jesse M. Shapiro and Nathan Sun
Shanty is a simulation in which students inhabit the role of either a traditional home buyer or an iBuyer, both bidding on the same condo. The traditional home buyer has access to a “comp sheet” of similar properties that have recently sold, and has done a walkthrough.... View Details
Keywords: Algorithm; Decision Choices and Conditions; Measurement and Metrics; Market Timing; Decision Making
Luca, Michael, Jesse M. Shapiro, and Nathan Sun. "Shanty Real Estate: Updated Confidential Information for iBuyer." Harvard Business School Exercise 923-023, October 2022.
- October 2022
- Exercise
Shanty Real Estate: Confidential Information for Homebuyer 2
By: Michael Luca, Jesse M. Shapiro and Nathan Sun
Shanty is a simulation in which students inhabit the role of either a traditional home buyer or an iBuyer, both bidding on the same condo. The traditional home buyer has access to a “comp sheet” of similar properties that have recently sold, and has done a walkthrough.... View Details
Luca, Michael, Jesse M. Shapiro, and Nathan Sun. "Shanty Real Estate: Confidential Information for Homebuyer 2." Harvard Business School Exercise 923-017, October 2022.
- October 2022
- Exercise
Shanty Real Estate: Confidential Information for iBuyer 3
By: Michael Luca, Jesse M. Shapiro and Nathan Sun
Shanty is a simulation in which students inhabit the role of either a traditional home buyer or an iBuyer, both bidding on the same condo. The traditional home buyer has access to a “comp sheet” of similar properties that have recently sold, and has done a walkthrough.... View Details
Keywords: Algorithm; Decision Choices and Conditions; Decision Making; Measurement and Metrics; Market Timing
Luca, Michael, Jesse M. Shapiro, and Nathan Sun. "Shanty Real Estate: Confidential Information for iBuyer 3." Harvard Business School Exercise 923-021, October 2022.
- November 2015
- Article
The Highest Form of Intelligence: Sarcasm Increases Creativity for Both Expressers and Recipients
By: Li Huang, F. Gino and Adam D. Galinsky
Sarcasm is ubiquitous in organizations. Despite its prevalence, we know surprisingly little about the cognitive experiences of sarcastic expressers and recipients or their behavioral implications. The current research proposes and tests a novel theoretical model in... View Details
Huang, Li, F. Gino, and Adam D. Galinsky. "The Highest Form of Intelligence: Sarcasm Increases Creativity for Both Expressers and Recipients." Organizational Behavior and Human Decision Processes 131 (November 2015): 162–177.
- February 2009 (Revised May 2010)
- Case
Orange: Read&Go
By: Thomas R. Eisenmann, Toby E. Stuart, Bhaskar Chakravorti, Vincent Marie Dessain, Simon Harrow and Elena Corsi
In late 2008, Orange (aka France Telecom) must decide if launching Read&Go, an electronic newsstand built around an e-paper reader, would be successful. The case describes (1) Orange's strategy; (2) the company's new product development process; (3) e-paper technology,... View Details
Keywords: Business Model; Corporate Entrepreneurship; Technological Innovation; Demand and Consumers; Product Development; Partners and Partnerships; Competition; Publishing Industry; France
Eisenmann, Thomas R., Toby E. Stuart, Bhaskar Chakravorti, Vincent Marie Dessain, Simon Harrow, and Elena Corsi. "Orange: Read&Go." Harvard Business School Case 809-122, February 2009. (Revised May 2010.)
- October 2022
- Exercise
Shanty Real Estate: Updated Confidential Information for Homebuyer
By: Michael Luca, Jesse M. Shapiro and Nathan Sun
Shanty is a simulation in which students inhabit the role of either a traditional home buyer or an iBuyer, both bidding on the same condo. The traditional home buyer has access to a “comp sheet” of similar properties that have recently sold, and has done a walkthrough.... View Details
Keywords: Algorithm; Decision Choices and Conditions; Decision Making; Market Timing; Measurement and Metrics
Luca, Michael, Jesse M. Shapiro, and Nathan Sun. "Shanty Real Estate: Updated Confidential Information for Homebuyer." Harvard Business School Exercise 923-022, October 2022.
- 09 Mar 2016
- Lessons from the Classroom
In This Classroom, Beer Can Improve Your Grade
In a large circular classroom called The Hives, Ramon Casadesus-Masanell is roaming the floors this week as he oversees the second running of Strategic Brew, a computerized business simulation designed for first-year MBA students at... View Details
- January 2008
- Background Note
Convertible Arbitrage
By: Joshua Coval and Erik Stafford
The goal of this simulation is to understand how convertible bonds can be viewed as a portfolio of simpler securities and to introduce an over-the-counter market. The convertible bonds that are available during the simulation are at-the-money and in-the-money so that... View Details
Coval, Joshua, and Erik Stafford. "Convertible Arbitrage." Harvard Business School Background Note 208-116, January 2008.
- November 2022
- Article
Measuring Inequality beyond the Gini Coefficient May Clarify Conflicting Findings
By: Kristin Blesch, Oliver P. Hauser and Jon M. Jachimowicz
Prior research has found mixed results on how economic inequality is related to various outcomes. These contradicting findings may in part stem from a predominant focus on the Gini coefficient, which only narrowly captures inequality. Here, we conceptualize the... View Details
Keywords: Economic Inequalty; Gini Coefficient; Income Inequality; Equality and Inequality; Social Issues; Health; Status and Position
Blesch, Kristin, Oliver P. Hauser, and Jon M. Jachimowicz. "Measuring Inequality beyond the Gini Coefficient May Clarify Conflicting Findings." Nature Human Behaviour 6, no. 11 (November 2022): 1525–1536.
- 2014
- Working Paper
De Gustibus non est Taxandum: Heterogeneity in Preferences and Optimal Redistribution
By: Benjamin B Lockwood and Matthew Weinzierl
The prominent but unproven intuition that preference heterogeneity reduces redistribution in a standard optimal tax model is shown to hold under the plausible condition that the distribution of preferences for consumption relative to leisure rises, in terms of... View Details
Lockwood, Benjamin B., and Matthew Weinzierl. "De Gustibus non est Taxandum: Heterogeneity in Preferences and Optimal Redistribution." Harvard Business School Working Paper, No. 12-063, January 2012. (Updated September 2014. NBER Working Paper Series, No. 17784. Published in Journal of Public Economics.)
Using Gen AI for Early-Stage Market Research - Harvard Business Review
Generative AI, particularly large language models (LLMs), offers a promising new tool for early-stage market research by simulating customer responses to product concepts. This can allow companies to draw conclusions... View Details
- Research Summary
Quality in Service Operations
Rogelio Oliva is interested in understanding how the operational characteristics of service delivery processes interact with human resource and marketing policies to determine the long term productivity, quality, and profitability of a service operation. Specifically,... View Details
- Article
De Gustibus non est Taxandum: Heterogeneity in Preferences and Optimal Redistribution
By: Benjamin B Lockwood and Matthew Weinzierl
The prominent but unproven intuition that preference heterogeneity reduces redistribution in a standard optimal tax model is shown to hold under the plausible condition that the distribution of preferences for consumption relative to leisure rises, in terms of... View Details
Keywords: Motivation and Incentives; Income; Decision Choices and Conditions; Consumer Behavior; Taxation; Microeconomics; Macroeconomics
Lockwood, Benjamin B., and Matthew Weinzierl. "De Gustibus non est Taxandum: Heterogeneity in Preferences and Optimal Redistribution." Journal of Public Economics 124 (April 2015): 74–80. (Also NBER Working Paper Series, No. 17784, September 2014 and Harvard Business School Working Paper, No. 12-063, January 2012.)
- December 2009
- Article
Strategy-proofness versus Efficiency in Matching with Indifferences: Redesigning the NYC High School Match
By: Atila Abdulkadiroglu, Parag A. Pathak and Alvin E. Roth
The design of the New York City (NYC) High School match involved tradeoffs among efficiency, stability, and strategy-proofness that raise new theoretical questions. We analyze a model with indifferences—ties—in school preferences. Simulations with field data and the... View Details
Keywords: Decision Choices and Conditions; Secondary Education; Marketplace Matching; Performance Efficiency; Mathematical Methods; Motivation and Incentives; Strategy; Balance and Stability
Abdulkadiroglu, Atila, Parag A. Pathak, and Alvin E. Roth. "Strategy-proofness versus Efficiency in Matching with Indifferences: Redesigning the NYC High School Match." American Economic Review 99, no. 5 (December 2009). (AER links to access the Appendix and Downloadable Data Set.)
- 2007
- Working Paper
Coupled Search Processes: Why Is it so Difficult to Find that Organizational Design Matters?
By: Nicolaj Siggelkow and Jan Rivkin
Organizational design affects performance via coupled search processes. At low frequency, managers search for appropriate organizational designs. At higher frequency, managers use designs to search for high-performing operational choices. The two searches are coupled:... View Details
Keywords: Competency and Skills; Operations; Organizational Design; Performance; Networks; Research; Cognition and Thinking; Strategy
Siggelkow, Nicolaj, and Jan Rivkin. "Coupled Search Processes: Why Is it so Difficult to Find that Organizational Design Matters?" Harvard Business School Working Paper, No. 07-106, June 2007.
- 12 Feb 2007
- Lessons from the Classroom
‘UpTick’ Brings Wall Street Pressure to Students
In a Harvard Business School classroom, students in the Dynamic Markets class may have one minute to make a decision in a pressure cooker one called "the most stress I've experienced in ten years." It's margin call time in a real-world market investment... View Details
- 11 Feb 2025
- HBS Seminar
Brett Hollenbeck, University of California, Los Angeles
- 2023
- Working Paper
Distributionally Robust Causal Inference with Observational Data
By: Dimitris Bertsimas, Kosuke Imai and Michael Lingzhi Li
We consider the estimation of average treatment effects in observational studies and propose a new framework of robust causal inference with unobserved confounders. Our approach is based on distributionally robust optimization and proceeds in two steps. We first... View Details
Bertsimas, Dimitris, Kosuke Imai, and Michael Lingzhi Li. "Distributionally Robust Causal Inference with Observational Data." Working Paper, February 2023.
- Article
Transition to Clean Technology
By: Daron Acemoglu, Ufuk Akcigit, Douglas Hanley and William R. Kerr
We develop a microeconomic model of endogenous growth where clean and dirty technologies compete in production and innovation, in the sense that research can be directed to either clean or dirty technologies. If dirty technologies are more advanced to start with, the... View Details
Keywords: Technological Innovation; Entrepreneurship; Environmental Sustainability; Green Technology Industry
Acemoglu, Daron, Ufuk Akcigit, Douglas Hanley, and William R. Kerr. "Transition to Clean Technology." Special Issue on Climate Change and the Economy. Journal of Political Economy 124, no. 2 (February 2016): 52–104.
- May 2017
- Article
Agent-based Modeling: A Guide for Social Psychologists
By: Joshua Conrad Jackson, David Rand, Kevin Lewis, Michael I. Norton and Kurt Gray
Agent-based modeling is a longstanding but underused method that allows researchers to simulate artificial worlds for hypothesis testing and theory building. Agent-based models (ABMs) offer unprecedented control and statistical power by allowing researchers to... View Details
Jackson, Joshua Conrad, David Rand, Kevin Lewis, Michael I. Norton, and Kurt Gray. "Agent-based Modeling: A Guide for Social Psychologists." Social Psychological & Personality Science 8, no. 4 (May 2017): 387–395.