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- All HBS Web
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- Faculty Publications (159)
- 2020
- Working Paper
Fresh Fruit and Vegetable Consumption: The Impact of Access and Value
By: Retsef Levi, Elisabeth Paulson and Georgia Perakis
The goal of this paper is to leverage household-level data to improve food-related policies aimed at increasing the consumption of fruits and vegetables (FVs) among low-income households. Currently, several interventions target areas where residents have limited... View Details
Keywords: Food Deserts; Food Access; Food Policy; Causal Inference; Food; Nutrition; Poverty; Government Administration
Levi, Retsef, Elisabeth Paulson, and Georgia Perakis. "Fresh Fruit and Vegetable Consumption: The Impact of Access and Value." MIT Sloan Research Paper, No. 5389-18, October 2020.
- Article
The Importance of Being Causal
By: Iavor I Bojinov, Albert Chen and Min Liu
Causal inference is the study of how actions, interventions, or treatments affect outcomes of interest. The methods that have received the lion’s share of attention in the data science literature for establishing causation are variations of randomized experiments.... View Details
Keywords: Causal Inference; Observational Studies; Cross-sectional Studies; Panel Studies; Interrupted Time-series; Instrumental Variables
Bojinov, Iavor I., Albert Chen, and Min Liu. "The Importance of Being Causal." Harvard Data Science Review 2.3 (July 30, 2020).
- 2020
- Working Paper
When Do Experts Listen to Other Experts? The Role of Negative Information in Expert Evaluations for Novel Projects
By: Jacqueline N. Lane, Misha Teplitskiy, Gary Gray, Hardeep Ranu, Michael Menietti, Eva C. Guinan and Karim R. Lakhani
The evaluation of novel projects lies at the heart of scientific and technological innovation, and yet literature suggests that this process is subject to inconsistency and potential biases. This paper investigates the role of information sharing among experts as the... View Details
Keywords: Project Evaluation; Innovation; Knowledge Frontier; Negativity Bias; Projects; Innovation and Invention; Information; Diversity; Judgments
Lane, Jacqueline N., Misha Teplitskiy, Gary Gray, Hardeep Ranu, Michael Menietti, Eva C. Guinan, and Karim R. Lakhani. "When Do Experts Listen to Other Experts? The Role of Negative Information in Expert Evaluations for Novel Projects." Harvard Business School Working Paper, No. 21-007, July 2020. (Revised November 2020.)
- 2021
- Working Paper
Issue Salience and Political Stereotypes
By: Pedro Bordalo, Marco Tabellini and David Yang
U.S. voters exaggerate the differences in attitudes held by Republicans and Democrats on a range of socioeconomic and political issues, and higher perceived polarization is associated with greater political engagement and affective polarization. In this paper, we... View Details
- March 24, 2020
- Article
Delayed Negative Effects of Prosocial Spending on Happiness
By: Armin Falk and Thomas Graeber
Does prosocial behavior promote happiness? We test this longstanding hypothesis in a behavioral experiment that extends the scope of previous research. In our Saving a Life paradigm, every participant either saved one human life in expectation by triggering a targeted... View Details
Falk, Armin, and Thomas Graeber. "Delayed Negative Effects of Prosocial Spending on Happiness." Proceedings of the National Academy of Sciences 117, no. 12 (March 24, 2020): 6463–6468.
- March 2020
- Article
The Politics of M&A Antitrust
By: Mihir N. Mehta, Suraj Srinivasan and Wanli Zhao
Antitrust regulators play a critical role in protecting market competition. We examine whether firms can use the political process to opportunistically influence antitrust reviews of corporate merger transactions. We exploit the fact that in some mergers, acquirers... View Details
Keywords: Political Economy; Antitrust; FTC; DOJ; Mergers and Acquisitions; Government and Politics; Power and Influence
Mehta, Mihir N., Suraj Srinivasan, and Wanli Zhao. "The Politics of M&A Antitrust." Journal of Accounting Research 58, no. 1 (March 2020): 5–53. (Previously circulated under title "Political Influence and Merger Antitrust Reviews.")
- 2020
- Working Paper
A General Theory of Identification
By: Iavor Bojinov and Guillaume Basse
What does it mean to say that a quantity is identifiable from the data? Statisticians seem to agree
on a definition in the context of parametric statistical models — roughly, a parameter θ in a model
P = {Pθ : θ ∈ Θ} is identifiable if the mapping θ 7→ Pθ is injective.... View Details
Bojinov, Iavor, and Guillaume Basse. "A General Theory of Identification." Harvard Business School Working Paper, No. 20-086, February 2020.
- 2019
- Article
Time Series Experiments and Causal Estimands: Exact Randomization Tests and Trading
By: Iavor I Bojinov and Neil Shephard
We define causal estimands for experiments on single time series, extending the potential outcome framework to dealing with temporal data. Our approach allows the estimation of a broad class of these estimands and exact randomization based p-values for testing causal... View Details
Bojinov, Iavor I., and Neil Shephard. "Time Series Experiments and Causal Estimands: Exact Randomization Tests and Trading." Journal of the American Statistical Association 114, no. 528 (2019): 1665–1682.
- April 2019
- Article
Shooting the Messenger
By: Leslie John, Hayley Blunden and Heidi Liu
Eleven experiments provide evidence that people have a tendency to “shoot the messenger,” deeming innocent bearers of bad news unlikeable. In a preregistered lab experiment, participants rated messengers who delivered bad news from a random drawing as relatively... View Details
Keywords: Judgment; Communication; Sense-making; Attribution; Disclosure; Interpersonal Communication; Perception; Judgments; Motivation and Incentives
John, Leslie, Hayley Blunden, and Heidi Liu. "Shooting the Messenger." Journal of Experimental Psychology: General 148, no. 4 (April 2019): 644–666.
- Article
Handshaking Promotes Deal-Making by Signaling Cooperative Intent
By: Juliana Schroeder, Jane L. Risen, Francesca Gino and Michael I. Norton
We examine how a simple handshake—a gesture that often occurs at the outset of social interactions—can influence deal-making. Because handshakes are social rituals, they are imbued with meaning beyond their physical features. We propose that during mixed-motive... View Details
Keywords: Handshake; Cooperation; Affiliation; Competition; Negotiation; Nonverbal Communication; Negotiation Participants; Behavior; Communication Intention and Meaning; Negotiation Deal
Schroeder, Juliana, Jane L. Risen, Francesca Gino, and Michael I. Norton. "Handshaking Promotes Deal-Making by Signaling Cooperative Intent." Journal of Personality and Social Psychology 116, no. 5 (May 2019): 743–768.
- March 2019
- Article
Open Source Software and Firm Productivity
By: Frank Nagle
As open source software (OSS) is increasingly used as a key input by firms, understanding its impact on productivity becomes critical. This study measures the firm-level productivity impact of nonpecuniary (free) OSS and finds a positive and significant value-added... View Details
Keywords: Applications and Software; Open Source Distribution; Performance Productivity; Information Technology; Strategy
Nagle, Frank. "Open Source Software and Firm Productivity." Management Science 65, no. 3 (March 2019): 1191–1215.
- Article
Optimality Bias in Moral Judgment
By: Julian De Freitas and Samuel G.B. Johnson
We often make decisions with incomplete knowledge of their consequences. Might people nonetheless expect others to make optimal choices, despite this ignorance? Here, we show that people are sensitive to moral optimality: that people hold moral agents accountable... View Details
Keywords: Moral Judgment; Lay Decision Theory; Theory Of Mind; Causal Attribution; Moral Sensibility; Decision Making
De Freitas, Julian, and Samuel G.B. Johnson. "Optimality Bias in Moral Judgment." Journal of Experimental Social Psychology 79 (November 2018): 149–163.
- 2020
- Working Paper
Machine Learning for Pattern Discovery in Management Research
Supervised machine learning (ML) methods are a powerful toolkit for discovering robust patterns in quantitative data. The patterns identified by ML could be used as an observation for further inductive or abductive research, but should not be treated as the result of a... View Details
Keywords: Machine Learning; Theory Building; Induction; Decision Trees; Random Forests; K-nearest Neighbors; Neural Network; P-hacking; Analytics and Data Science; Analysis
Choudhury, Prithwiraj, Ryan Allen, and Michael G. Endres. "Machine Learning for Pattern Discovery in Management Research." Harvard Business School Working Paper, No. 19-032, September 2018. (Revised June 2020.)
- Article
The Critical Role of Second-order Normative Beliefs in Predicting Energy Conservation
By: Jon M. Jachimowicz, Oliver P. Hauser, Julia D. O'Brien, Erin Sherman and Adam D. Galinsky
Sustaining large-scale public goods requires individuals to make environmentally friendly decisions today to benefit future generations. Recent research suggests that second-order normative beliefs are more powerful predictors of behaviour than first-order personal... View Details
Keywords: Climate Change; Energy; Environmental Sustainability; Household; Behavior; Values and Beliefs; Forecasting and Prediction
Jachimowicz, Jon M., Oliver P. Hauser, Julia D. O'Brien, Erin Sherman, and Adam D. Galinsky. "The Critical Role of Second-order Normative Beliefs in Predicting Energy Conservation." Nature Human Behaviour 2, no. 10 (October 2018): 757–764.
- 2018
- Working Paper
Status Inconsistency: Variance in One's Status Across Groups Harms Well-being but Improves Perspective-taking
By: Catarina Fernandes and Alison Wood Brooks
Most people belong to many different groups. While some people experience consistently high or low status across all of their groups, others experience wildly different levels of status in each group. In this research, we examine how status inconsistency – the degree... View Details
- July–August 2018
- Article
The Other Diversity Dividend
By: Paul Gompers and Silpa Kovvali
Researchers have struggled to establish a causal relationship between diversity and financial performance—especially at large companies, where decision rights and incentives can be murky, and the effects of any given choice can be tough to pin down. So the authors... View Details
Gompers, Paul, and Silpa Kovvali. "The Other Diversity Dividend." Harvard Business Review 96, no. 4 (July–August 2018): 72–77.
- June 2018
- Article
Deviations from Covered Interest Rate Parity
By: Wenxin Du, Alexander Tepper and Adrien Verdelhan
We find that deviations from the covered interest rate parity (CIP) condition imply large, persistent, and systematic arbitrage opportunities in one of the largest asset markets in the world. Contrary to the common view, these deviations for major currencies are not... View Details
Du, Wenxin, Alexander Tepper, and Adrien Verdelhan. "Deviations from Covered Interest Rate Parity." Journal of Finance 73, no. 3 (June 2018): 915–957.
- 2023
- Working Paper
Efficient Discovery of Heterogeneous Quantile Treatment Effects in Randomized Experiments via Anomalous Pattern Detection
By: Edward McFowland III, Sriram Somanchi and Daniel B. Neill
In the recent literature on estimating heterogeneous treatment effects, each proposed method makes its own set of restrictive assumptions about the intervention’s effects and which subpopulations to explicitly estimate. Moreover, the majority of the literature provides... View Details
Keywords: Causal Inference; Program Evaluation; Algorithms; Distributional Average Treatment Effect; Treatment Effect Subset Scan; Heterogeneous Treatment Effects
McFowland III, Edward, Sriram Somanchi, and Daniel B. Neill. "Efficient Discovery of Heterogeneous Quantile Treatment Effects in Randomized Experiments via Anomalous Pattern Detection." Working Paper, 2023.
- Article
Your Visual System Provides All the Information You Need to Make Moral Judgments about Generic Visual Events
By: Julian De Freitas and George A. Alvarez
To what extent are people's moral judgments susceptible to subtle factors of which they are unaware? Here we show that we can change people’s moral judgments outside of their awareness by subtly biasing perceived causality. Specifically, we used subtle visual... View Details
De Freitas, Julian, and George A. Alvarez. "Your Visual System Provides All the Information You Need to Make Moral Judgments about Generic Visual Events." Cognition 178 (September 2018): 133–146.
- December 2017
- Article
Discordant vs. Harmonious Selves: The Effects of Identity Conflict and Enhancement on Sales Performance in Employee-Customer Interactions
By: Lakshmi Ramarajan, Nancy Rothbard and Steffanie Wilk
Across multiple studies, we examine how identity conflict and enhancement within people affect performance in tasks that involve interactions between people through two mechanisms: role-immersion, operationalized as intrinsic motivation, and role-taking,... View Details
Ramarajan, Lakshmi, Nancy Rothbard, and Steffanie Wilk. "Discordant vs. Harmonious Selves: The Effects of Identity Conflict and Enhancement on Sales Performance in Employee-Customer Interactions." Academy of Management Journal 60, no. 6 (December 2017): 2208–2238.