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All HBS Web
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- Faculty Publications (226)
- April 2023
- Article
The Real Exchange Rate, Innovation and Productivity
By: Laura Alfaro, Alejandro Cuñat, Harald Fadinger and Yanping Liu
We evaluate manufacturing firms' responses to changes in the real exchange rate (RER) using detailed firm-level data for a large set of countries for the period 2001-2010. We uncover the following stylized facts about regional variation of manufacturing firms'...
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Keywords:
Real Exchange Rate;
Firm Level Data;
Innovation;
Productivity;
Exporting;
Importing;
Credit Constraints;
Currency Exchange Rate;
Innovation and Invention;
Performance Productivity
Alfaro, Laura, Alejandro Cuñat, Harald Fadinger, and Yanping Liu. "The Real Exchange Rate, Innovation and Productivity." Journal of the European Economic Association 21, no. 2 (April 2023): 637–689.
- March 2023
- Case
Woven Planet - Designing Software for the Car of the Future
By: Gary P. Pisano and Catherine Piner
Founded in 2021, Woven Planet Holdings—a subsidiary of Toyota Motor Corporation—was developing Arene, an automotive software platform consisting of an operating system, development and simulation tools, and a cloud-based service that could store and analyze vehicle...
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Keywords:
Technology;
Automated Driving;
Innovation;
Organizational Culture;
Applications and Software;
Safety;
Product Launch;
Product;
Auto Industry;
Technology Industry
Pisano, Gary P., and Catherine Piner. "Woven Planet - Designing Software for the Car of the Future." Harvard Business School Case 623-064, March 2023.
- March 2023
- Technical Note
Companion to: Demand Simulator Spreadsheet Supplement
By: Elie Ofek and Olivier Toubia
Ofek, Elie, and Olivier Toubia. "Companion to: Demand Simulator Spreadsheet Supplement." Harvard Business School Technical Note 523-096, March 2023.
- February 2023
- Teaching Note
SIMmersion: Simulating Crucial Conversations
By: Alison Wood Brooks and Julian Zlatev
Teaching Note for HBS Case No. 923-040.
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- February 2023
- Case
SIMmersion: Simulating Crucial Conversations
By: Alison Wood Brooks, Julian Zlatev and F Katelynn Boland
This case introduces readers to SIMmersion, a company founded in 2002 that creates and sells training programs to firms, government agencies, educational institutions, and individuals (B2B and B2C). Their training programs are built around simulations (“sims”) that...
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Brooks, Alison Wood, Julian Zlatev, and F Katelynn Boland. "SIMmersion: Simulating Crucial Conversations." Harvard Business School Case 923-040, February 2023.
- 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....
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- 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...
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Bertsimas, Dimitris, Kosuke Imai, and Michael Lingzhi Li. "Distributionally Robust Causal Inference with Observational Data." Working Paper, February 2023.
- 2023
- Working Paper
The Link Between Integrative Bargaining and Leadership Evaluations
By: Julian J. Zlatev and Francis J. Flynn
We draw from implicit leadership theory and the dual concern theory of conflict resolution to posit a link
between negotiation style and leadership evaluations. Specifically, we propose that individuals who are
more skilled at integrative, but not distributive,...
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Keywords:
Prosocial Behavior;
Leadership;
Negotiation;
Conflict and Resolution;
Performance Evaluation
Zlatev, Julian J., and Francis J. Flynn. "The Link Between Integrative Bargaining and Leadership Evaluations." Harvard Business School Working Paper, No. 23-044, January 2023.
- November 15, 2022
- Article
Using Simulations to Upskill Employees
By: Frank V. Cespedes, Trond Aas, Alex Hunt and Huw Newton-Hill
Reskilling employees tops the agenda in many organizations, according to a LinkedIn report. Korn Ferry estimates an 85-million person talent shortage by 2030, and McKinsey likens the challenge to the shift from agricultural to manufacturing work that occurred in the...
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Keywords:
Employee Engagement;
Managing People;
Talent Development;
Training;
Human Capital;
Experience and Expertise;
Talent and Talent Management;
Retention;
Personal Development and Career
Cespedes, Frank V., Trond Aas, Alex Hunt, and Huw Newton-Hill. "Using Simulations to Upskill Employees." Harvard Business Review (website) (November 15, 2022).
- 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...
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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.
- 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....
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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: 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....
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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 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....
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Luca, Michael, Jesse M. Shapiro, and Nathan Sun. "Shanty Real Estate: Confidential Information for Homebuyer 3." Harvard Business School Exercise 923-018, October 2022.
- 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....
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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 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....
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Luca, Michael, Jesse M. Shapiro, and Nathan Sun. "Shanty Real Estate: Confidential Information for iBuyer 2." Harvard Business School Exercise 923-020, 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....
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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.
- 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....
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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.
- 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....
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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–December 2022
- Article
Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem
By: Mochen Yang, Edward McFowland III, Gordon Burtch and Gediminas Adomavicius
Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data, followed...
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Keywords:
Machine Learning;
Econometric Analysis;
Instrumental Variable;
Random Forest;
Causal Inference;
AI and Machine Learning;
Forecasting and Prediction
Yang, Mochen, Edward McFowland III, Gordon Burtch, and Gediminas Adomavicius. "Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem." INFORMS Journal on Data Science 1, no. 2 (October–December 2022): 138–155.