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- All HBS Web (269)
- Faculty Publications (94)
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- 2020
- Working Paper
Cutting the Gordian Knot of Employee Health Care Benefits and Costs: A Corporate Model Built on Employee Choice
By: Regina E. Herzlinger and Barak D. Richman
The U.S. employer-based health insurance tax exclusion created a system of employer-sponsored insurance (ESI) with limited insurance choices and transparency that may lock employed households into health plans that are costlier or different from those they prefer to... View Details
Keywords: After-tax Income; Consumer-driven Health Care; Health Care Costs; Health Insurance; Income Inequality; Tax Policy; Health Care and Treatment; Cost; Insurance; Employees; Income; Taxation; Policy; United States
Herzlinger, Regina E., and Barak D. Richman. "Cutting the Gordian Knot of Employee Health Care Benefits and Costs: A Corporate Model Built on Employee Choice." Duke Law School Public Law & Legal Theory Series, No. 2020-4, December 2019. (Revised January 2021.)
- June 2024
- Article
Rationalizing Outcomes: Interdependent Learning in Competitive Markets
By: Anoop R. Menon and Dennis Yao
In this article we use simulation models to explore interdependent learning in competitive markets. Such interactions require attention to both the mental representations held by the management of the focal firm as well as the beliefs of that management about the... View Details
Keywords: Mental Models; Strategic Interactions; Rationalization; Explanation-based View; Competition
Menon, Anoop R., and Dennis Yao. "Rationalizing Outcomes: Interdependent Learning in Competitive Markets." Strategy Science 9, no. 2 (June 2024): 97–117.
- 2019
- Working Paper
Does Apple Anchor a Shopping Mall? The Effect of the Technology Stores on the Formation of Market Structure
By: Doug J. Chung, Kyoungwon Seo and Reo Song
This study examines the effect of technology stores—company-owned Apple and Microsoft retail stores—on mall configuration. We formulate a structural model that considers the endogenous location decisions of retail stores, taking into account both market characteristics... View Details
Keywords: Apple Store; New Anchor Store; Discrete Game; Complete Information; Multiple Equilibria; GPGPU Technology; Simulator; Bayesian Estimation; Shopping Mall; Spillover
Chung, Doug J., Kyoungwon Seo, and Reo Song. "Does Apple Anchor a Shopping Mall? The Effect of the Technology Stores on the Formation of Market Structure." Harvard Business School Working Paper, No. 20-066, December 2019.
- 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 2020
- Article
Designs for Estimating the Treatment Effect in Networks with Interference
By: Ravi Jagadeesan, Natesh S. Pillai and Alexander Volfovsky
In this paper, we introduce new, easily implementable designs for drawing causal inference from randomized experiments on networks with interference. Inspired by the idea of matching in observational studies, we introduce the notion of considering a treatment... View Details
Keywords: Experimental Design; Network Inference; Neyman Estimator; Symmetric Interference Model; Homophily
Jagadeesan, Ravi, Natesh S. Pillai, and Alexander Volfovsky. "Designs for Estimating the Treatment Effect in Networks with Interference." Annals of Statistics 48, no. 2 (April 2020): 679–712.
- 27 Sep 2018
- Working Paper Summaries
Large-Scale Demand Estimation with Search Data
- October 2022
- Exercise
Shanty Real Estate: Confidential Information for iBuyer 1
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 1." Harvard Business School Exercise 923-019, October 2022.
- October 2022
- Exercise
Shanty Real Estate: Confidential Information for Homebuyer 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
Luca, Michael, Jesse M. Shapiro, and Nathan Sun. "Shanty Real Estate: Confidential Information for Homebuyer 3." Harvard Business School Exercise 923-018, October 2022.
- January 2001 (Revised August 2003)
- Case
Diageo plc
A major U.K.-based multinational is reevaluating its leverage policy as it restructures its business. The treasury team models the tradeoffs between the benefits and costs of debt financing, using Monte Carlo simulation to estimate the savings from the interest tax... View Details
Keywords: Cost vs Benefits; Multinational Firms and Management; Capital Structure; Restructuring; United Kingdom
Chacko, George C., Peter Tufano, and Joshua Musher. "Diageo plc." Harvard Business School Case 201-033, January 2001. (Revised August 2003.)
- February 2023 (Revised March 2024)
- Supplement
Shanty Real Estate: Teaching Note Supplement
By: Michael Luca and Jesse M. Shapiro
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
- April 2013
- Teaching Note
Konys, Inc. (TN)
By: Deishin Lee and Tunay Tunca
This case describes the sourcing policy for a consumer electronics company. The company must decide how to structure contracts with their supplier—using a purchase contract, an option contract, or combination of the two. The company can also buy from the spot market.... View Details
- November 2012 (Revised April 2013)
- Case
Konys, Inc.
By: Deishin Lee and Tunay I. Tunca
This case describes the sourcing policy for a consumer electronics company. The company must decide how to structure contracts with their supplier—using a purchase contract, an option contract, or combination of the two. The company can also buy from the spot market.... View Details
Keywords: Option Contract; Uncertainty; Sourcing; Supplier Relationship; Risk and Uncertainty; Contracts; Supply Chain; Consumer Products Industry; Electronics Industry
Lee, Deishin, and Tunay I. Tunca. "Konys, Inc." Harvard Business School Case 613-065, November 2012. (Revised April 2013.)
- October 2022
- Exercise
Shanty Real Estate: Confidential Information for iBuyer 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 iBuyer 2." Harvard Business School Exercise 923-020, October 2022.
- November 2007
- Background Note
Asset Allocation I
By: Joshua D. Coval, Erik Stafford, Rodrigo Osmo, John Jernigan, Zack Page and Paulo Passoni
The goal of these simulations is to understand the mathematics of mean-variance optimization and the equilibrium pricing of risk if all investors use this rule with common information sets. Simulation A focuses on five to 10 years of monthly sector returns that are... View Details
- January 2008
- Background Note
Equity Derivatives
By: Joshua Coval and Erik Stafford
The goal of these simulations is to understand the dynamic replication technique behind the Black-Scholes/Merton options model. The simulations focus on a single stock and a risk-free discount bond, which are used to replicate a contingent payoff. The underlying stock... View Details
Coval, Joshua, and Erik Stafford. "Equity Derivatives." Harvard Business School Background Note 208-117, January 2008.
- 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
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.)
- October 2022
- Exercise
Shanty Real Estate: Confidential Information for Homebuyer 1
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: Data-driven Decision-making; Decisions; Negotiation; Bids and Bidding; Valuation; Consumer Behavior; Real Estate Industry
Luca, Michael, Jesse M. Shapiro, and Nathan Sun. "Shanty Real Estate: Confidential Information for Homebuyer 1." Harvard Business School Exercise 923-016, October 2022.
- 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.
- 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: 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.