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- 2023
- Working Paper
Estimating Productivity in the Presence of Spillovers: Firm-Level Evidence from the U.S. Production Network
By: Ebehi Iyoha
This paper examines the extent to which productivity gains are transmitted across U.S. firms through buyer-supplier relationships. Many empirical studies measure firm-to-firm spillovers using firm-level productivity estimates derived from control function approaches....
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Iyoha, Ebehi. "Estimating Productivity in the Presence of Spillovers: Firm-Level Evidence from the U.S. Production Network." Harvard Business School Working Paper, No. 24-033, December 2023. (Winner of the Young Economists' Essay Award at the 2021 Annual Conference of the European Association for Research in Industrial Economics (EARIE))
- 2023
- Article
Towards Bridging the Gaps between the Right to Explanation and the Right to Be Forgotten
By: Himabindu Lakkaraju, Satyapriya Krishna and Jiaqi Ma
The Right to Explanation and the Right to be Forgotten are two important principles outlined to regulate algorithmic decision making and data usage in real-world applications. While the right to explanation allows individuals to request an actionable explanation for an...
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Keywords:
Analytics and Data Science;
AI and Machine Learning;
Decision Making;
Governing Rules, Regulations, and Reforms
Lakkaraju, Himabindu, Satyapriya Krishna, and Jiaqi Ma. "Towards Bridging the Gaps between the Right to Explanation and the Right to Be Forgotten." Proceedings of the International Conference on Machine Learning (ICML) 40th (2023): 17808–17826.
- 2023
- Article
Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse
By: Martin Pawelczyk, Teresa Datta, Johannes van-den-Heuvel, Gjergji Kasneci and Himabindu Lakkaraju
As machine learning models are increasingly being employed to make consequential decisions in real-world settings, it becomes critical to ensure that individuals who are adversely impacted (e.g., loan denied) by the predictions of these models are provided with a means...
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Pawelczyk, Martin, Teresa Datta, Johannes van-den-Heuvel, Gjergji Kasneci, and Himabindu Lakkaraju. "Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse." Proceedings of the International Conference on Learning Representations (ICLR) (2023).
- 2022
- Working Paper
Perceptions about Monetary Policy
By: Michael D. Bauer, Carolin Pflueger and Adi Sunderam
We estimate perceptions about the Federal Reserve’s monetary policy rule from panel data on professional forecasts of interest rates and macroeconomic conditions. The perceived dependence of the federal funds rate on economic conditions varies substantially over time,...
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Bauer, Michael D., Carolin Pflueger, and Adi Sunderam. "Perceptions about Monetary Policy." NBER Working Paper Series, No. 30480, September 2022.
- April 2022
- Article
Does Context Outweigh Individual Characteristics in Driving Voting Behavior? Evidence from Relocations within the U.S.
By: Enrico Cantoni and Vincent Pons
We measure the overall influence of contextual versus individual factors (e.g., voting rules and media as opposed to race and education) on voter behavior, and explore underlying mechanisms. Using a U.S.-wide voter-level panel, 2008–18, we examine voters who relocate...
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Keywords:
Voting;
Behavior;
Geographic Location;
Personal Characteristics;
Situation or Environment;
United States
Cantoni, Enrico, and Vincent Pons. "Does Context Outweigh Individual Characteristics in Driving Voting Behavior? Evidence from Relocations within the U.S." American Economic Review 112, no. 4 (April 2022): 1226–1272.
- Article
A Prescriptive Analytics Framework for Optimal Policy Deployment Using Heterogeneous Treatment Effects
By: Edward McFowland III, Sandeep Gangarapu, Ravi Bapna and Tianshu Sun
We define a prescriptive analytics framework that addresses the needs of a constrained decision-maker facing, ex ante, unknown costs and benefits of multiple policy levers. The framework is general in nature and can be deployed in any utility maximizing context, public...
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Keywords:
Prescriptive Analytics;
Heterogeneous Treatment Effects;
Optimization;
Observed Rank Utility Condition (OUR);
Between-treatment Heterogeneity;
Machine Learning;
Decision Making;
Analysis;
Mathematical Methods
McFowland III, Edward, Sandeep Gangarapu, Ravi Bapna, and Tianshu Sun. "A Prescriptive Analytics Framework for Optimal Policy Deployment Using Heterogeneous Treatment Effects." MIS Quarterly 45, no. 4 (December 2021): 1807–1832.
- 2023
- Working Paper
Catching Outliers: Committee Voting and the Limits of Consensus When Financing Innovation
By: Andrey Malenko, Ramana Nanda, Matthew Rhodes-Kropf and Savitar Sundaresan
We document that investment committees of major VCs use a voting rule where one partner `championing' an early-stage investment is sufficient to invest. Their stated reason for this rule is to `catch outliers'. The same VCs use a more conventional `majority' rule for...
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Keywords:
Optimal Voting Rules;
Innovation and Invention;
Venture Capital;
Investment;
Decision Making;
Voting
Malenko, Andrey, Ramana Nanda, Matthew Rhodes-Kropf, and Savitar Sundaresan. "Catching Outliers: Committee Voting and the Limits of Consensus When Financing Innovation." Harvard Business School Working Paper, No. 21-131, June 2021. (Revise and Resubmit at Journal of Finance. Revised November 2023.)
- June 2021
- Technical Note
Introduction to Linear Regression
By: Michael Parzen and Paul Hamilton
This technical note introduces (from an applied point of view) the theory and application of simple and multiple linear regression. The motivation for the model is introduced, as well as how to interpret the summary output with regard to prediction and statistical...
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- 2021
- Article
To Thine Own Self Be True? Incentive Problems in Personalized Law
By: Jordan M. Barry, John William Hatfield and Scott Duke Kominers
Recent years have seen an explosion of scholarship on “personalized law.” Commentators foresee a world in which regulators armed with big data and machine learning techniques determine the optimal legal rule for every regulated party, then instantaneously disseminate...
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Keywords:
Personalized Law;
Regulation;
Regulatory Avoidance;
Regulatory Arbitrage;
Law And Economics;
Law And Technology;
Law And Artificial Intelligence;
Futurism;
Moral Hazard;
Elicitation;
Signaling;
Privacy;
Law;
Governing Rules, Regulations, and Reforms;
Information Technology;
AI and Machine Learning
Barry, Jordan M., John William Hatfield, and Scott Duke Kominers. "To Thine Own Self Be True? Incentive Problems in Personalized Law." Art. 2. William & Mary Law Review 62, no. 3 (2021).
- Article
Beyond Individualized Recourse: Interpretable and Interactive Summaries of Actionable Recourses
By: Kaivalya Rawal and Himabindu Lakkaraju
As predictive models are increasingly being deployed in high-stakes decision-making, there has been a lot of interest in developing algorithms which can provide recourses to affected individuals. While developing such tools is important, it is even more critical to...
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Rawal, Kaivalya, and Himabindu Lakkaraju. "Beyond Individualized Recourse: Interpretable and Interactive Summaries of Actionable Recourses." Advances in Neural Information Processing Systems (NeurIPS) 33 (2020).
- Article
Robust and Stable Black Box Explanations
By: Himabindu Lakkaraju, Nino Arsov and Osbert Bastani
As machine learning black boxes are increasingly being deployed in real-world applications, there
has been a growing interest in developing post hoc explanations that summarize the behaviors
of these black boxes. However, existing algorithms for generating such...
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Lakkaraju, Himabindu, Nino Arsov, and Osbert Bastani. "Robust and Stable Black Box Explanations." Proceedings of the International Conference on Machine Learning (ICML) 37th (2020): 5628–5638. (Published in PMLR, Vol. 119.)
- September–October 2020
- Article
A New Model for Ethical Leadership
By: Max Bazerman
Rather than try to follow a set of simple rules (“Don’t lie.” “Don’t cheat.”), leaders and managers seeking to be more ethical should focus on creating the most value for society. This utilitarian view, Bazerman argues, blends philosophical thought with business school...
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Keywords:
Social Value;
Leadership;
Moral Sensibility;
Ethics;
Decision Making;
Corporate Social Responsibility and Impact;
Society
Bazerman, Max. "A New Model for Ethical Leadership." Harvard Business Review 98, no. 5 (September–October 2020): 90–97.
- October 2020
- Case
PraDigi Open Learning: Transforming Rural India
By: John J-H Kim and Malini Sen
Pratham is a non-governmental organization, focusing on high-quality, low-cost and replicable interventions to address gaps in the Indian education system. Co-founder Madhav Chavan is interested in using technology for education but differed in the way it is used in...
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Keywords:
Decision Choices and Conditions;
Social Entrepreneurship;
Education;
Information Technology;
Learning;
Growth and Development Strategy;
Non-Governmental Organizations;
Social Issues;
Education Industry;
India;
Asia
Kim, John J-H, and Malini Sen. "PraDigi Open Learning: Transforming Rural India." Harvard Business School Case 321-022, October 2020.
- 2020
- Working Paper
Targeting for Long-Term Outcomes
By: Jeremy Yang, Dean Eckles, Paramveer Dhillon and Sinan Aral
Decision makers often want to target interventions so as to maximize an outcome that is observed only in the long term. This typically requires delaying decisions until the outcome is observed or relying on simple short-term proxies for the long-term outcome. Here we...
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Keywords:
Targeted Marketing;
Optimization;
Churn Management;
Marketing;
Customer Relationship Management;
Policy;
Learning;
Outcome or Result
Yang, Jeremy, Dean Eckles, Paramveer Dhillon, and Sinan Aral. "Targeting for Long-Term Outcomes." Working Paper, October 2020.
- September 2020
- Case
Disrupting Justice at RightNow: Persevere, Pivot or Perish
By: Shikhar Ghosh and Amir Reza Rezvani
The case examines the focus of an early stage company, and how an unexpected external incidence can threaten or void the business model. It encompasses issues such as defining and pivoting a business model, organizational requirements for a pivot, investor relations,...
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Keywords:
Legal Aspects Of Business;
Startup;
Teams;
Pivot;
Financing;
Entrepreneurship;
Law;
Venture Capital;
Business Startups;
Financing and Loans;
Business Model;
Organizational Change and Adaptation;
Legal Services Industry;
Germany
Ghosh, Shikhar, and Amir Reza Rezvani. "Disrupting Justice at RightNow: Persevere, Pivot or Perish." Harvard Business School Case 821-027, September 2020.
- July 2020
- Background Note
Gender Diversity on Boards: Views from Norway
By: Aiyesha Dey
The issue of gender diversity on boards has received increased attention in U.S markets over the past few years. In 2018, California introduced a law which required boards of U.S-listed firms with headquarters in California to include at least one female director by...
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Keywords:
Board Of Directors;
Board Decisions;
Gender;
Diversity;
Governing and Advisory Boards;
Norway;
United States
Dey, Aiyesha. "Gender Diversity on Boards: Views from Norway." Harvard Business School Background Note 120-065, July 2020.
- May 2020 (Revised July 2020)
- Case
Justice-as-a-Service at RightNow
By: Shikhar Ghosh and Amir Reza Rezvani
The case examines the focus of an early stage company, and how an unexpected external incidence can threaten or void the business model. It encompasses issues such as minimal viable product, defining and pivoting a business model, organizational requirements for a...
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Keywords:
Legacy Business;
Teams;
Startup;
Business Models;
Pivot;
Entrepreneurship;
Law;
Venture Capital;
Business Startups;
Business Model;
Organizational Change and Adaptation;
Strategy;
Legal Services Industry;
Germany
Ghosh, Shikhar, and Amir Reza Rezvani. "Justice-as-a-Service at RightNow." Harvard Business School Case 820-117, May 2020. (Revised July 2020.)
- Article
The Changing Landscape of Auditors' Liability
By: Colleen Honigsberg, Shivaram Rajgopal and Suraj Srinivasan
We provide a comprehensive overview of shareholder litigation against auditors since the passage of the Private Securities Litigation Reform Act (PSLRA). The number of lawsuits per year has declined, dismissals have increased, and settlements in recent years have...
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Keywords:
Auditor Litigation;
Tellabs;
Section 10(b);
Section 11;
Audit Quality;
Janus;
PSLRA;
Class-action Litigation;
Accounting Audits;
Lawsuits and Litigation;
Legal Liability
Honigsberg, Colleen, Shivaram Rajgopal, and Suraj Srinivasan. "The Changing Landscape of Auditors' Liability." Journal of Law & Economics 63, no. 2 (May 2020): 367–410.
- January 2020
- Case
A Tough Call: SEAL Team Leader in Kandahar (A)
By: George A. Riedel
The case, which is a disguised version of real events, is set in Kandahar, Afghanistan (2013) during the long running Afghan war. Lt. Paul Rickson, a Navy SEAL Platoon Commander, is leading a team of 30 U.S. and Afghan soldiers on a mission to clear hostile forces in...
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Keywords:
War;
Leadership;
Risk and Uncertainty;
Safety;
Decision Choices and Conditions;
Afghanistan
Riedel, George A. "A Tough Call: SEAL Team Leader in Kandahar (A)." Harvard Business School Case 320-001, January 2020.
- May 2019
- Background Note
Founders' Agreements
By: Shikhar Ghosh, Shweta Bagai and Sanchali Pal
Crafting a Founders’ Agreement is an important component of startup infrastructure as it documents a complex set of decisions that build a company’s roots. Its four key elements are: roles and responsibilities, rights (decision rights, rewards, position on board),...
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Keywords:
Founders' Agreements;
Team Management;
Contingency Planning;
Business Startups;
Equity;
Entrepreneurship
Ghosh, Shikhar, Shweta Bagai, and Sanchali Pal. "Founders' Agreements." Harvard Business School Background Note 819-143, May 2019.