Publications

Educators

April 2023
Article

A Field Experiment on Subgoal Framing to Boost Volunteering: The Trade-off Between Goal Granularity and Flexibility

By: Aneesh Rai, Marissa A. Sharif, Edward H. Chang, Katherine L. Milkman and Angela L. Duckworth

Research suggests that breaking overarching goals into more granular subgoals is beneficial for goal progress. However, making goals more granular often involves reducing the flexibility provided to complete them, and recent work shows that flexibility can also be... View Details

Keywords: Goals and Objectives; Outcome or Result; Performance Improvement

2023
Working Paper

Applications or Approvals: What Drives Racial Disparities in the Paycheck Protection Program?

By: Sergey Chernenko, Nathan Kaplan, Asani Sarkar and David S. Scharfstein

We use the 2020 Small Business Credit Survey to study the sources of racial disparities in use of the Paycheck Protection Program (PPP). Black-owned firms are 8.9 percentage points less likely than observably similar white-owned firms to receive PPP loans. About 55% of... View Details

Keywords: Borrowing and Debt; Small Business; Race; Financing and Loans

SSRN

April 2023
Article

Are Intermediary Constraints Priced?

By: Wenxin Du, Benjamin Hebert and Amy Wang Huber

Violations of no-arbitrage conditions measure the shadow cost of intermediary constraints. Intermediary asset pricing and intertemporal hedging together imply that the risk of these constraints tightening is priced. We describe a “forward CIP trading strategy” that... View Details

Keywords: Asset Pricing; Investment Return; Risk and Uncertainty; International Finance

2023
Case

Christiana Figueres and the Collaborative Approach to Negotiating Climate Action

By: James K. Sebenius, Laurence A. Green, Hannah Riley-Bowles, Lara SanPietro and Mina Subramanian

This case study centers on Harvard’s Program on Negotiation 2022 Great Negotiator, Christiana Figueres, and her efforts as Executive Secretary of the United Nations Framework Convention on Climate Change (UNFCCC) to build momentum for, and ultimately pass, the 2015... View Details

Keywords: Climate Change; Negotiation; Environmental Regulation; International Relations; Leadership

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2023
Working Paper

Corporate Website-based Measures of Firms' Value Drivers

By: Wei Cai, Dennis Campbell and Patrick Ferguson

We develop and validate new text-based measures of firms’ financial and non-financial value drivers. Using the Wayback Machine to access public US firms’ archived websites from 1995-2020, we scrape text from corporate homepages. We use Kaplan and Norton’s (1992)... View Details

Keywords: Value; Corporate Strategy; Accounting; Analytics and Data Science

April 2023
Case

Drive Capital: A New Road for Venture

By: Paul A. Gompers and Alicia Dadlani

Founded by two former Sequoia Capital partners, Columbus-Ohio-based Drive Capital’s mission was to build a world-class venture capital firm in the middle of the U.S., an area historically overlooked by VCs. Drive faced early challenges of attracting investors, sourcing... View Details

Keywords: Venture Capital; Business Startups; Entrepreneurship; Investment; Business Strategy; Financial Services Industry; Biotechnology Industry; United States; Ohio

Educators

2023
Article

Estimating Causal Peer Influence in Homophilous Social Networks by Inferring Latent Locations.

By: Edward McFowland III and Cosma Rohilla Shalizi

Social influence cannot be identified from purely observational data on social networks, because such influence is generically confounded with latent homophily, that is, with a node’s network partners being informative about the node’s attributes and therefore its... View Details

Keywords: Causal Inference; Homophily; Social Networks; Peer Influence; Social and Collaborative Networks; Power and Influence; Mathematical Methods

2023
Working Paper

Feature Importance Disparities for Data Bias Investigations

By: Peter W. Chang, Leor Fishman and Seth Neel

It is widely held that one cause of downstream bias in classifiers is bias present in the training data. Rectifying such biases may involve context-dependent interventions such as training separate models on subgroups, removing features with bias in the collection... View Details

Keywords: AI and Machine Learning; Analytics and Data Science; Prejudice and Bias

April 2023
Article

Inattentive Inference

By: Thomas Graeber

This paper studies how people infer a state of the world from information structures that include additional, payoff-irrelevant states. For example, learning from a customer review about a product’s quality requires accounting for the reviewer’s otherwise irrelevant... View Details

Keywords: Cognition and Thinking; Information Types; Behavior; Knowledge Acquisition

Spring 2023
Article

Incentive Contract Design and Employee-Initiated Innovation: Evidence from the Field

By: Wei Cai, Susanna Gallani and Jee-Eun Shin

This study examines how the design of incentive contracts for tasks defined as workers’ official responsibilities (i.e., standard tasks) influences workers’ propensity to engage in employee-initiated innovation (EII). EII corresponds to innovation activities that are... View Details

Keywords: Employee-initiated Innovation; Contract Design; Rank-and-file; Extra-role Behaviors; Compensation and Benefits; Motivation and Incentives; Innovation and Management

April 2023
Article

Learning Down to Train Up: Mentors Are More Effective When They Value Insights from Below

By: Ting Zhang, Dan Wang and Adam D. Galinsky

Although mentorship is vital for individual success, potential mentors often view it as a costly burden. To understand what motivates mentors to overcome this barrier and more fully engage with their mentees, we introduce a new construct, learning direction, which... View Details

Keywords: Mentoring; Learning Direction; Interpersonal Communication; Learning; Leadership Development

April 2023
Article

On the Privacy Risks of Algorithmic Recourse

By: Martin Pawelczyk, Himabindu Lakkaraju and Seth Neel

As predictive models are increasingly being employed to make consequential decisions, there is a growing emphasis on developing techniques that can provide algorithmic recourse to affected individuals. While such recourses can be immensely beneficial to affected... View Details

Keywords: Recourse; Privacy Threats; AI and Machine Learning; Information

April 2023
Article

Perceptions Related to Engaging in Non-driving Activities in an Automated Vehicle While Commuting: A Text Mining Approach

By: Yilun Xing, Linda Ng Boyle, Raffaella Sadun, John D. Lee, Orit Shaer and Andrew Kun

Automated vehicles (AVs) offer human operators the opportunity to participate in non-driving activities while on the move. In this study, we examined and compared drivers' perception of non-driving activities in two driving modes: highly AVs in the future and current... View Details

Keywords: Perception; Behavior; Surveys; Auto Industry

March–April 2023
Article

Pricing for Heterogeneous Products: Analytics for Ticket Reselling

By: Michael Alley, Max Biggs, Rim Hariss, Charles Herrmann, Michael Lingzhi Li and Georgia Perakis

Problem definition: We present a data-driven study of the secondary ticket market. In particular, we are primarily concerned with accurately estimating price sensitivity for listed tickets. In this setting, there are many issues including endogeneity, heterogeneity in... View Details

Keywords: Price; Demand and Consumers; AI and Machine Learning; Investment Return; Entertainment and Recreation Industry; Sports Industry

2023
Working Paper

PRIMO: Private Regression in Multiple Outcomes

By: Seth Neel

We introduce a new differentially private regression setting we call Private Regression in Multiple Outcomes (PRIMO), inspired the common situation where a data analyst wants to perform a set of l regressions while preserving privacy, where the covariates... View Details

Keywords: Analytics and Data Science; Mathematical Methods

April 2023
Article

Racial Inequality in Work Environments

By: Letian Zhang

This article explores racial stratification in work environments. Inequality scholars have long identified racial disparities in wage and occupational attainment, but workers’ careers and well-being are also shaped by elements of their work environment, including firm... View Details

Keywords: Discrimination; Race; Equality and Inequality; Working Conditions; Personal Development and Career; Organizational Culture

2023
Working Paper

The Limits of Algorithmic Measures of Race in Studies of Outcome Disparities

By: David S. Scharfstein and Sergey Chernenko

We show that the use of algorithms to predict race has significant limitations in measuring and understanding the sources of racial disparities in finance, economics, and other contexts. First, we derive theoretically the direction and magnitude of measurement bias in... View Details

Keywords: Racial Disparity; Paycheck Protection Program; Measurement Error; AI and Machine Learning; Race; Measurement and Metrics; Equality and Inequality; Prejudice and Bias; Forecasting and Prediction; Outcome or Result

SSRN

March–April 2023
Article

The New-Collar Workforce

By: Colleen Ammerman, Boris Groysberg and Ginni Rometty

Many workers today are stuck in low-paying jobs, unable to advance simply because they don’t have a bachelor’s degree. At the same time, many companies are desperate for workers and not meeting the diversity goals that could help them perform better while also reducing... View Details

Keywords: Diversity; Recruitment; Social Issues; Higher Education; Competency and Skills

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2023
Book

The Portfolio Life: How to Future-Proof Your Career, Avoid Burnout, and Build a Life Bigger than Your Business Card

By: Christina Wallace

Pouring yourself into a single full-time job is the riskiest move you can make. Your parents’ advice to focus on one career path? It doesn’t work anymore, for reasons ranging from recessions to student loan debt, the gig economy, climate disasters, and a global... View Details

Keywords: Work-Life Balance; Personal Development and Career