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- January 2025
- Article
Everyone Steps Back?: The Widespread Retraction of Crowd-Funding Support for Minority Creators When Migration Fear Is High
By: John (Jianqui) Bai, William R. Kerr, Chi Wan and Alptug Yorulmaz
We study funding gaps on Kickstarter across multiple ethnic groups from 2009 to 2021. Scaling the concept of racially salient events, we quantify the close co-movement of minority funding gaps in crowd-funding to inflamed political rhetoric surrounding migration. The... View Details
- December 2024
- Article
Human Bias in the Oversight of Firms: Evidence from Workplace Safety Violations
By: Jonas Heese, Gerardo Pérez Cavazos and Andreya Pérez Silva
We study the effects of mood as a source of human bias on regulators’ oversight and enforcement decisions. We use weather at facilities at the time of an OSHA inspection to proxy for the OSHA compliance officers’ mood. We find that during periods of good mood due to... View Details
- 2024
- Working Paper
A Gender Backlash: Does Exposure to Female Labor Market Participation Fuel Gender Conservatism?
By: Paula Rettl, Diane Bolet, Catherine E. De Vries, Simone Cremaschi, Tarik Abou-Chadi and Sergi Pardos-Prado
The growing participation of women in the labor market has marked a significant societal transformation, coinciding with the rise of gender conservatism and far-right support. We study whether the economic consequences of labor market feminization and gender backlash... View Details
- November–December 2024
- Article
High-Status Teammates: Award Evaluation in the National Basketball Association
By: Dominika Kinga Randle and Letian Zhang
Social evaluations proceed in stages. First, judges filter a broad pool of candidates and pick a subset for detailed assessment. Then, the chosen group undergoes a closer examination, during which winners are selected. At both stages of the process, judges are... View Details
- November 2024
- Article
Preference Externality Estimators: A Comparison of Border Approaches and IVs
By: Xi Ling, Wesley R. Hartmann and Tomomichi Amano
This paper compares two estimators—the Border Approach and an Instrumental Variable (IV) estimator—using a unified framework where identifying variation arises from “preference externalities,” following the intuition in Waldfogel (2003). We highlight two dimensions in... View Details
- 2024
- Working Paper
Priors, Experiments, Learning and Persuasion in (Bayesian) Entrepreneurial Finance
By: Ramana Nanda
At the heart of entrepreneurial finance lies a persuasion challenge: regardless of
the strength of an entrepreneur’s belief in the potential of their idea, they typically
need to convince investors to provide the financial capital required for its... View Details
- October 2024
- Article
Racial Inequality in Organizations: A Systems Psychodynamic Perspective
By: Sanaz Mobasseri, William A. Kahn and Robin J. Ely
This paper uses systems psychodynamic concepts to develop theory about the persistence of racial inequality in U.S. organizations and to inform an approach for disrupting it. We treat White men as the dominant group and Black people as the archetypal subordinate group... View Details
- October 2024
- Article
Sampling Bias in Entrepreneurial Experiments
By: Ruiqing Cao, Rembrand Koning and Ramana Nanda
Using data from a prominent online platform for launching new digital products, we document that ‘sampling bias’—defined as the difference between a startup’s target customer base and the actual sample on which early ‘beta tests’ are conducted—has a systematic and... View Details
- Fall, 2024
- Article
Sixty Years of the Voting Rights Act: Progress and Pitfalls
By: Andrea Bernini, Giovanni Facchini, Marco Tabellini and Cecilia Testa
We review the literature on the effects of the 1965 Voting Rights Act (VRA), which removed formal restrictions to Black political participation. After a brief description of racial discrimination suffered by Black Americans since Reconstruction, we introduce the goals... View Details
- 2024
- Working Paper
How Real Is Hypothetical?: A High-Stakes Test of the Allais Paradox
By: Uri Gneezy, Yoram Halevy, Brian Hall, Theo Offerman and Jeroen van de Ven
Researchers in behavioral and experimental economics often argue that only
incentive-compatible mechanisms can elicit effort and truthful responses from participants.
Others argue that participants make less-biased decisions when the stakes
are sufficiently high.... View Details
- August 20, 2024
- Article
Sexual Assault Victims Face a Penalty for Adjacent Consent
By: Jillian J. Jordan and Roseanna Sommers
Across 11 experimental studies (n = 12,257), we show that female victims of sexual assault are blamed more and seen as less morally virtuous if their assault follows voluntary sexual intimacy, a factor we term “adjacent consent”. Moreover, we illuminate a... View Details
- July 2024
- Article
Acceptance of Automated Vehicles Is Lower for Self than Others
By: Stuti Agarwal, Julian De Freitas, Anya Ragnhildstveit and Carey K. Morewedge
Road traffic accidents are the leading cause of death worldwide for people aged 2–59. Nearly all deaths are due to human error. Automated vehicles could reduce mortality risks, traffic congestion, and air pollution of human-driven vehicles. However, their adoption... View Details
- June 2024
- Article
Inflation with COVID Consumption Baskets
By: Alberto Cavallo
The Covid-19 pandemic led to changes in expenditure patterns that introduced significant bias in the measurement of Consumer Price Index (CPI) inflation. Using publicly-available data on card transactions, I updated the official CPI weights and re-calculated inflation... View Details
- May 2024
- Teaching Note
Making Progress at Progress Software (A) and (B)
By: Katherine Baldiga Coffman, Hannah Riley Bowles, Emma Ronzetti and Alexis Lefort
Teaching Note for HBS Case Nos. 924-010 and 924-011. View Details
- May–June 2024
- Article
Setting Gendered Expectations? Recruiter Outreach Bias in Online Tech Training Programs
By: Jacqueline N. Lane, Karim R. Lakhani and Roberto Fernandez
Competence development in digital technologies, analytics, and artificial intelligence is increasingly important to all types of organizations and their workforce. Universities and corporations are investing heavily in developing training programs, at all tenure... View Details
- 2024
- Working Paper
What Is Newsworthy? Theory and Evidence
By: Luis Armona, Matthew Gentzkow, Emir Kamenica and Jesse M. Shapiro
We study newsworthiness in theory and practice. We focus on situations in which a news outlet observes the realization of a state of the world and must decide whether to report the realization to a consumer who pays an opportunity cost to consume the report. The... View Details
- April 3, 2024
- Article
How Automakers Can Address Resistance to Self-Driving Cars
By: Stuti Agarwal, Julian De Freitas and Carey K. Morewedge
Research involving multiple experiments found that consumers have biased views of their driving abilities relative to those of other drivers and automated vehicles. These findings have implications for the adoption of partly or fully automated vehicles, which one day... View Details
- April 2024
- Article
Model-based Financial Regulations Impair the Transition to Net-zero Carbon Emissions
By: Matteo Gasparini, Matthew C. Ives, Ben Carr, Sophie Fry and Eric Beinhocker
Investments via the financial system are essential for fostering the green transition. However, the role of existing financial regulations in influencing investment decisions is understudied. Here we analyse data from the European Banking Authority to show that... View Details
- 2024
- Working Paper
Greenlighting Innovative Projects: How Evaluation Format Shapes the Perceived Feasibility of Novel Ideas
By: Jacqueline N. Lane, Tianxi Cai, Michael Menietti, Griffin Weber and Eva C. Guinan
Evaluation of novel projects is essential for scientific and technological advancement. However,
evaluator bias toward a project’s potential can obscure its limitations. This study investigates
evaluation formats by contrasting combined assessments of novelty and... View Details
- March 2024
- Case
Unintended Consequences of Algorithmic Personalization
By: Eva Ascarza and Ayelet Israeli
“Unintended Consequences of Algorithmic Personalization” (HBS No. 524-052) investigates algorithmic bias in marketing through four case studies featuring Apple, Uber, Facebook, and Amazon. Each study presents scenarios where these companies faced public criticism for... View Details