Publications
Publications
Show Results For
- All HBS Web
(474)
- Faculty Publications (180)
- 2023
- Working Paper
'De Gustibus' and Disputes about Reference Dependence
By: Thomas Graeber, Pol Campos-Mercade, Lorenz Goette, Alexandre Kellogg and Charles Sprenger
Existing tests of reference-dependent preferences assume universal loss aversion. This paper examines the implications of heterogeneity in gain-loss attitudes for such tests. In experiments on labor supply and exchange behavior we measure gain-loss attitudes and then... View Details
- 2024
- Working Paper
The Wandering Scholars: Understanding the Heterogeneity of University Commercialization
By: Josh Lerner, Henry Manley, Carolyn Stein and Heidi Williams
University-based scientific research has long been argued to be a central source of
commercial innovation and economic growth. Yet at the same time, there have been
long-held concerns that many university-based discoveries never realize their potential
social... View Details
- 2023
- Working Paper
Money, Time, and Grant Design
By: Kyle Myers and Wei Yang Tham
The design of research grants has been hypothesized to be a useful tool for
influencing researchers and their science. We test this by conducting two thought
experiments in a nationally representative survey of academic researchers. First,
we offer participants a... View Details
- 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.... View Details
- 2023
- Article
M4: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities, and Models
By: Himabindu Lakkaraju, Xuhong Li, Mengnan Du, Jiamin Chen, Yekun Chai and Haoyi Xiong
While Explainable Artificial Intelligence (XAI) techniques have been widely studied to explain predictions made by deep neural networks, the way to evaluate the faithfulness of explanation results remains challenging, due to the heterogeneity of explanations for... View Details
Keywords: AI and Machine Learning
- 2022
- Working Paper
Why Do Index Funds Have Market Power? Quantifying Frictions in the Index Fund Market
By: Zach Y. Brown, Mark Egan, Jihye Jeon, Chuqing Jin and Alex A. Wu
Index funds are one of the most common ways investors access financial markets and are perceived to be a transparent and low-cost alternative to active investment management. Despite these purported virtues of index fund investing and the introduction of new products... View Details
- 2023
- Working Paper
Deglobalization and Entrepreneurial Investment: The Natural Experiment of Brexit
By: Elisa Alvarez-Garrido and Juan Alcácer
We seek to gain insight into the consequences of deglobalization on entrepreneurial investment by
analyzing an instance of economic disintegration: the United Kingdom’s exit from the European Union.
Brexit is not only a unique empirical opportunity, a natural... View Details
- 2023
- Working Paper
The Effects of Inconsistent Work Schedules on Employee Lateness and Absenteeism
By: Caleb Kwon and Ananth Raman
Problem Definition: Employee lateness and absenteeism pose challenges for businesses, particularly in the retail industry, where punctuality is vital for optimal store operations and customer service. This paper relates employee lateness and absenteeism with... View Details
- 2023
- Working Paper
Learning to Use: Stack Overflow and Technology Adoption
By: Daniel Jay Brown and Maria P. Roche
In this paper, we examine the potential impact of Q&A websites on the adoption of technologies.
Using data from Stack Overflow – one of the most popular Q&A websites worldwide
– and implementing an instrumental-variable approach, we find that users whose questions... View Details
- June 2023
- Simulation
Artea Dashboard and Targeting Policy Evaluation
By: Ayelet Israeli and Eva Ascarza
Companies deploy A/B experiments to gain valuable insights about their customers in order to answer strategic business problems. In marketing, A/B tests are often used to evaluate marketing interventions intended to generate incremental outcomes for the firm. The Artea... View Details
Keywords: Algorithm Bias; Algorithmic Data; Race And Ethnicity; Experimentation; Promotion; Marketing And Society; Big Data; Privacy; Data-driven Management; Data Analysis; Data Analytics; E-Commerce Strategy; Discrimination; Targeted Advertising; Targeted Policies; Pricing Algorithms; A/B Testing; Ethical Decision Making; Customer Base Analysis; Customer Heterogeneity; Coupons; Marketing; Race; Gender; Diversity; Customer Relationship Management; Marketing Communications; Advertising; Decision Making; Ethics; E-commerce; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; United States
- 2023
- Article
Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators
By: Benjamin Jakubowski, Siram Somanchi, Edward McFowland III and Daniel B. Neill
Regression discontinuity (RD) designs are widely used to estimate causal effects in the absence of a randomized experiment. However, standard approaches to RD analysis face two significant limitations. First, they require a priori knowledge of discontinuities in... View Details
- March 2023
- Article
Developing Moral Muscle in a Literature-based Business Ethics Course
By: Inge M. Brokerhof, Sandra J. Sucher, P. Matthijs Bal, Frank Hakemulder, Paul G. W. Jansen and Omar N. Solinger
Moral subjectivity (e.g., reflexivity, perspective-taking) is a necessary condition for moral
development. However, widely used approaches to business ethics education, rooted in
conceptualizations of ethical development as objective and quantifiable, often neglect... View Details
- 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
- 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... View Details
- February 2023
- Article
OTC Intermediaries
By: Andrea L. Eisfeldt, Bernard Herskovic, Sriram Rajan and Emil Siriwardane
We study the effect of dealer exit on prices and quantities in a model of an over-the-counter (OTC) market featuring a core-periphery network with bilateral trading costs. The model is calibrated using regulatory data on the entire U.S. credit default swap (CDS) market... View Details
- 2023
- Article
Experimental Evaluation of Individualized Treatment Rules
By: Kosuke Imai and Michael Lingzhi Li
The increasing availability of individual-level data has led to numerous applications of individualized (or personalized) treatment rules (ITRs). Policy makers often wish to empirically evaluate ITRs and compare their relative performance before implementing them in a... View Details
- January 2023
- Article
Firm-Induced Migration Paths and Strategic Human-Capital Outcomes
By: Prithwiraj (Raj) Choudhury, Tarun Khanna and Victoria Sevcenko
Firm-induced migration typically entails firms relocating workers to fill value-creating positions at destination locations. But such relocated workers are often exposed to external employment opportunities at their destinations, possibly triggering turnover. We... View Details
- November 2022
- Article
My Boss' Passion Matters as Much as My Own: The Interpersonal Dynamics of Passion Are a Critical Driver of Performance Evaluations
By: Jon M. Jachimowicz, Andreas Wihler and Adam D. Galinsky
Companies often celebrate employees who successfully pursue their passion. Academic research suggests that these positive evaluations occur because of the passion percolating inside the employee. We propose that supervisors are also a key piece of this puzzle:... View Details
- 2024
- Working Paper
The Retail Habitat
By: Toomas Laarits and Marco Sammon
Retail investors trade hard-to-value stocks. Controlling for size, stocks with a high share of retail-initiated trades are composed of more intangible capital, have longer duration cash-flows and a higher likelihood of being mispriced. Consistent with retail-heavy... View Details
Keywords: Retail; Retail Trade; Intangible Capital; Mispricing; Investment; Valuation; Business Earnings
- 2022
- Article
Diffusing Management Practices within the Firm: The Role of Information Provision
By: Michael J. Lenox and Michael W. Toffel
Why are some firms more successful in adopting profitable environmental management practices than others? A key role of corporate managers is to encourage subsidiaries to adopt innovative practices. We examine the conditions under which corporate managers use... View Details