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(3,695)
- Faculty Publications (615)
- 2022
- Working Paper
Confidence, Self-Selection and Bias in the Aggregate
By: Benjamin Enke, Thomas Graeber and Ryan Oprea
The influence of behavioral biases on aggregate outcomes like prices and allocations depends in part on self-selection: whether rational people opt more strongly into aggregate interactions than biased individuals. We conduct a series of betting market, auction and... View Details
Enke, Benjamin, Thomas Graeber, and Ryan Oprea. "Confidence, Self-Selection and Bias in the Aggregate." NBER Working Paper Series, No. 30262, July 2022.
- June 2022
- Teaching Plan
GreenLight Fund
By: Brian Trelstad and Mel Martin
Teaching Note for HBS Case No. 320-053. As Tara Noland, the Executive Director (ED) of GreenLight Cincinnati, reflected on her first few years on the job. Noland had delivered on what she had been hired to do in the city: work with leading philanthropists and nonprofit... View Details
- June 2022
- Article
Conservatism Gets Funded? A Field Experiment on the Role of Negative Information in Novel Project Evaluation
By: Jacqueline N. Lane, Misha Teplitskiy, Gary Gray, Hardeep Ranu, Michael Menietti, Eva C. Guinan and Karim R. Lakhani
The evaluation and selection of novel projects lies at the heart of scientific and technological innovation, and yet there are persistent concerns about bias, such as conservatism. This paper investigates the role that the format of evaluation, specifically information... View Details
Keywords: Project Evaluation; Innovation; Knowledge Frontier; Information Sharing; Negativity Bias; Projects; Innovation and Invention; Information; Knowledge Sharing
Lane, Jacqueline N., Misha Teplitskiy, Gary Gray, Hardeep Ranu, Michael Menietti, Eva C. Guinan, and Karim R. Lakhani. "Conservatism Gets Funded? A Field Experiment on the Role of Negative Information in Novel Project Evaluation." Management Science 68, no. 6 (June 2022): 4478–4495.
- May 2022
- Article
Strengthening Digital Infrastructure: A Policy Agenda for Free and Open Source Software
By: Frank Nagle
While there is little debate that digital forces are playing an increasingly crucial role in the economy, there
is limited understanding of the importance of the digital infrastructure that underlies this role. Much of the
discussion around digital infrastructure has... View Details
Nagle, Frank. "Strengthening Digital Infrastructure: A Policy Agenda for Free and Open Source Software." Brookings Series: Reimagining Modern-day Markets and Regulations (May 2022).
- May 2022
- Case
Executive Decision-Making at Zola
By: Amy C. Edmondson and Michael Roberto
In April 2020, Rachel Jarrett, President and COO of wedding technology company Zola, called a meeting with the organization’s key decision-makers. The company had previously launched three business expansions: a vendor marketplace, a wedding apparel division, and a... View Details
Keywords: Decision Making; Voting; Decision Choices and Conditions; Management Skills; Management; Management Style; Organizations; Organizational Culture; Technology Industry; Entertainment and Recreation Industry; United States
Edmondson, Amy C., and Michael Roberto. "Executive Decision-Making at Zola." Harvard Business School Case 622-074, May 2022.
- 2022
- Chapter
Capitalism and the Environment
By: Geoffrey Jones
Capitalism drove the environmental decimation of the planet. The environment was seen as a free good, while the consequences of dirty industrial and agricultural processes were seen as external to the firm. Public policies largely allowed this to happen, as politicians... View Details
Keywords: History; Environment; Sustainability; Capitalism; Ethics; Business History; Environmental Sustainability; Green Technology; Pollution; Climate Change
Jones, Geoffrey. "Capitalism and the Environment." Chap. 8 in Evolutions of Capitalism: Historical Perspectives: 1200–2000, edited by Catherine Casson and Philipp Robinson Rössner, 187–211. Bristol, United Kingdom: Bristol University Press, 2022.
- March–April 2022
- Article
Uncovering the Mitigating Psychological Response to Monitoring Technologies: Police Body Cameras Not Only Constrain but Also Depolarize
By: Shefali V. Patil and Ethan Bernstein
Despite organizational psychologists’ long-standing caution against monitoring (citing its reduction in employee autonomy and thus effectiveness), many organizations continue to use it, often with no detriment to performance and with strong support, not protest, from... View Details
Keywords: Monitoring; Transparency; Polarization; Body Worn Cameras; Quasi Field Experiment; Analytics and Data Science; Employees; Perception; Law Enforcement
Patil, Shefali V., and Ethan Bernstein. "Uncovering the Mitigating Psychological Response to Monitoring Technologies: Police Body Cameras Not Only Constrain but Also Depolarize." Organization Science 33, no. 2 (March–April 2022): 541–570. (*The authors contributed equally to this manuscript.)
- 2023
- Working Paper
Can Evidence-Based Information Shift Preferences Towards Trade Policy?
By: Laura Alfaro, Maggie X. Chen and Davin Chor
Amid public skepticism about trade, we investigate whether evidence-based information--a concise statement of a research finding--can shape preferences towards trade policy. Across survey experiments conducted over 2018-2022 on U.S. general population samples, we... View Details
Alfaro, Laura, Maggie X. Chen, and Davin Chor. "Can Evidence-Based Information Shift Preferences Towards Trade Policy?" Harvard Business School Working Paper, No. 22-062, March 2022. (Revised October 2024. NBER Working Paper Series, No. 31240, May 2023)
- March 2022 (Revised July 2022)
- Technical Note
Exploratory Data Analysis
This module note provides an overview of exploratory data analysis for an introduction to data science course. It begins by defining the term "data", and then describes the different types of data that companies work with (structured v. unstructured, categorical v.... View Details
Keywords: Data Analysis; Data Science; Statistics; Data Visualization; Exploratory Data Analysis; Analytics and Data Science; Analysis
Bojinov, Iavor I., Michael Parzen, and Paul Hamilton. "Exploratory Data Analysis." Harvard Business School Technical Note 622-098, March 2022. (Revised July 2022.)
- March 2022 (Revised July 2022)
- Technical Note
Linear Regression
This note provides an overview of linear regression for an introductory data science course. It begins with a discussion of correlation, and explains why correlation does not necessarily imply causation. The note then describes the method of least squares, and how to... View Details
Keywords: Data Science; Linear Regression; Mathematical Modeling; Mathematical Methods; Analytics and Data Science
Bojinov, Iavor I., Michael Parzen, and Paul Hamilton. "Linear Regression." Harvard Business School Technical Note 622-100, March 2022. (Revised July 2022.)
- March 2022 (Revised July 2022)
- Technical Note
Statistical Inference
This note provides an overview of statistical inference for an introductory data science course. First, the note discusses samples and populations. Next the note describes how to calculate confidence intervals for means and proportions. Then it walks through the logic... View Details
Keywords: Data Science; Statistics; Mathematical Modeling; Mathematical Methods; Analytics and Data Science
Bojinov, Iavor I., Michael Parzen, and Paul Hamilton. "Statistical Inference." Harvard Business School Technical Note 622-099, March 2022. (Revised July 2022.)
- 2022
- Working Paper
Do Startups Benefit from Their Investors' Reputation? Evidence from a Randomized Field Experiment
By: Shai Benjamin Bernstein, Kunal Mehta, Richard Townsend and Ting Xu
We analyze a field experiment conducted on AngelList Talent, a large online search platform for startup jobs. In the experiment, AngelList randomly informed job seekers of whether a startup was funded by a top-tier investor and/or was funded recently. We find that the... View Details
Keywords: Startup Labor Market; Investors; Randomized Field Experiment; Certification Effect; Venture Capital; Business Startups; Human Capital; Job Search; Reputation
Bernstein, Shai Benjamin, Kunal Mehta, Richard Townsend, and Ting Xu. "Do Startups Benefit from Their Investors' Reputation? Evidence from a Randomized Field Experiment." Harvard Business School Working Paper, No. 22-060, February 2022.
- March 2022 (Revised April 2022)
- Case
In Search of Global Regulation
By: Geoffrey Jones and Mona Rahmani
The history of the international regulation of global capitalism is surveyed, addressing the challenges facing firms confronting international, national, and regional regulation. Follows the history of global regulation after 1914, from the League of Nations;... View Details
Keywords: History; Multinational Firms and Management; International Relations; Laws and Statutes; Corporate Governance; Business and Government Relations
Jones, Geoffrey, and Mona Rahmani. "In Search of Global Regulation." Harvard Business School Case 822-122, March 2022. (Revised April 2022.)
- 2022
- Working Paper
Can a Website Bring Unemployment Down? Experimental Evidence from France
By: Aïcha Ben Dhia, Bruno Crépon, Esther Mbih, Louise Paul-Delvaux, Bertille Picard and Vincent Pons
We evaluate the impact of an online platform giving job seekers tips to improve their search and recommendations of new occupations and locations to target, based on their personal data and labor market data. Our experiment used an encouragement design and was... View Details
Keywords: Online Platform; Digital Platform; Unemployment; Encouragement Design; Job Search; Jobs and Positions; Internet and the Web; Well-being; Outcome or Result; Digital Platforms; France
Ben Dhia, Aïcha, Bruno Crépon, Esther Mbih, Louise Paul-Delvaux, Bertille Picard, and Vincent Pons. "Can a Website Bring Unemployment Down? Experimental Evidence from France." NBER Working Paper Series, No. 29914, April 2022.
- March 2022
- Article
How Much Does Your Boss Make? The Effects of Salary Comparisons
By: Zoë B. Cullen and Ricardo Perez-Truglia
The vast majority of the pay inequality in an organization comes from differences in pay between employees and their bosses. But are employees aware of these pay disparities? Are employees demotivated by this inequality? To address these questions, we conducted a... View Details
Keywords: Salary; Inequality; Managers; Career Concerns; Pay Transparency; Wages; Equality and Inequality; Perception; Behavior
Cullen, Zoë B., and Ricardo Perez-Truglia. "How Much Does Your Boss Make? The Effects of Salary Comparisons." Journal of Political Economy 130, no. 3 (March 2022): 766–822.
- Article
Managing a Polarized Workforce: How to Foster Debate and Promote Trust
By: Julia A. Minson and Francesca Gino
One of the toughest challenges leaders face is managing diverse perspectives—and given heightened tensions over politics and movements such as #MeToo and Black Lives Matter, that’s more difficult today than ever before. At the same time, productive disagreement and... View Details
Keywords: Polarization; Employees; Perspective; Interpersonal Communication; Organizational Culture; Trust
Minson, Julia A., and Francesca Gino. "Managing a Polarized Workforce: How to Foster Debate and Promote Trust." Harvard Business Review 100, no. 2 (March–April 2022): 63–71.
- Article
Policies to Influence Perceptions about COVID-19 Risk: The Case of Maps
By: Claudia Engel, Jonathan Rodden and Marco Tabellini
Choropleth disease maps have become an important tool for informing the public about the risks posed by COVID-19. In a survey conducted in the U.S. state of Georgia in June 2020, we randomly assigned respondents to view either of two maps. The first one reported... View Details
Engel, Claudia, Jonathan Rodden, and Marco Tabellini. "Policies to Influence Perceptions about COVID-19 Risk: The Case of Maps." Science Advances 8, no. 11 (March 18, 2022).
- March 2022
- Article
Sensitivity Analysis of Agent-based Models: A New Protocol
By: Emanuele Borgonovo, Marco Pangallo, Jan Rivkin, Leonardo Rizzo and Nicolaj Siggelkow
Agent-based models (ABMs) are increasingly used in the management sciences. Though useful, ABMs are often critiqued: it is hard to discern why they produce the results they do and whether other assumptions would yield similar results. To help researchers address such... View Details
Keywords: Agent-based Modeling; Sensitivity Analysis; Design Of Experiments; Total Order Sensitivity Indices; Organizations; Behavior; Decision Making; Mathematical Methods
Borgonovo, Emanuele, Marco Pangallo, Jan Rivkin, Leonardo Rizzo, and Nicolaj Siggelkow. "Sensitivity Analysis of Agent-based Models: A New Protocol." Computational and Mathematical Organization Theory 28, no. 1 (March 2022): 52–94.
- February 2022 (Revised May 2022)
- Case
Jaypee Infratech and the Indian Bankruptcy Code
By: Kristin Mugford, William Vrattos and Radhika Kak
In 2016, India passed a new bankruptcy law (IBC) to counter a brewing bank crisis and increased corporate distress. Homebuilder Jaypee Infratech, one of India largest distressed companies (the “dirty dozen”) began restructuring under the IBC in 2017. Two years later,... View Details
Keywords: Restructuring; Decisions; Judgments; Voting; Developing Countries and Economies; Financial Crisis; Public Sector; Asset Pricing; Borrowing and Debt; Corporate Finance; Credit; Insolvency and Bankruptcy; Debt Securities; Bonds; Investment Return; Price; Government Legislation; Laws and Statutes; Bids and Bidding; Business and Stakeholder Relations; Risk and Uncertainty; Valuation; Real Estate Industry; India; Delhi
Mugford, Kristin, William Vrattos, and Radhika Kak. "Jaypee Infratech and the Indian Bankruptcy Code." Harvard Business School Case 222-071, February 2022. (Revised May 2022.)
- 2022
- Working Paper
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
By: Satyapriya Krishna, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu and Himabindu Lakkaraju
As various post hoc explanation methods are increasingly being leveraged to explain complex models in high-stakes settings, it becomes critical to develop a deeper understanding of if and when the explanations output by these methods disagree with each other, and how... View Details
Krishna, Satyapriya, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu, and Himabindu Lakkaraju. "The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective." Working Paper, 2022.