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All HBS Web
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- Faculty Publications (170)
- 2021
- Working Paper
The Effects of Temporal Distance on Intra-Firm Communication: Evidence from Daylight Savings Time
By: Jasmina Chauvin, Prithwiraj Choudhury and Tommy Pan Fang
Cross-border communication costs have plummeted and enabled the global distribution of work, but frictions attributable to distance persist. We estimate the causal effects of temporal distance, i.e., time zone separation between employees, on intra-firm communication,...
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Keywords:
Communication Patterns;
Time Zones;
Geographic Frictions;
Knowledge Workers;
Multinational Companies;
Communication;
Multinational Firms and Management;
Geographic Location
Chauvin, Jasmina, Prithwiraj Choudhury, and Tommy Pan Fang. "The Effects of Temporal Distance on Intra-Firm Communication: Evidence from Daylight Savings Time." Harvard Business School Working Paper, No. 21-052, September 2020. (Revised November 2021.)
- 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...
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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....
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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...
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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...
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- April 2020
- Article
Regulatory Oversight, Causal Inference, and Safe and Effective Health Care Machine Learning
By: Ariel Dora Stern and W. Nicholson Price, II
In recent years, the applications of Machine Learning (ML) in the health care delivery setting have grown to become both abundant and compelling. Regulators have taken notice of these developments and the U.S. Food and Drug Administration (FDA) has been engaging...
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Keywords:
Machine Learning;
Causal Inference;
Health Care and Treatment;
Safety;
Governing Rules, Regulations, and Reforms
Stern, Ariel Dora, and W. Nicholson Price, II. "Regulatory Oversight, Causal Inference, and Safe and Effective Health Care Machine Learning." Biostatistics 21, no. 2 (April 2020): 363–367.
- 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...
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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...
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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....
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Bojinov, Iavor, and Guillaume Basse. "A General Theory of Identification." Harvard Business School Working Paper, No. 20-086, February 2020.
- 2020
- Working Paper
Consumer Protection in an Online World: An Analysis of Occupational Licensing
By: Chiara Farronato, Andrey Fradkin, Bradley Larsen and Erik Brynjolfsson
We study the effects of occupational licensing on consumer choices and market outcomes in a large online platform for residential home services. We exploit exogenous variation in the time at which licenses are displayed on the platform to identify the causal effects of...
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Keywords:
Occupational Licensing;
Consumer Protection;
Governing Rules, Regulations, and Reforms;
Consumer Behavior;
Decision Making;
Customer Satisfaction
Farronato, Chiara, Andrey Fradkin, Bradley Larsen, and Erik Brynjolfsson. "Consumer Protection in an Online World: An Analysis of Occupational Licensing." NBER Working Paper Series, No. 26601, January 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...
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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.
- September 2019
- Article
The Interpersonal Costs of Dishonesty: How Dishonest Behavior Reduces Individuals' Ability to Read Others' Emotions
By: J.J. Lee, H. Hardin, B. Parmar and F. Gino
In this research, we examine the unintended consequences of dishonest behavior for one’s interpersonal abilities and subsequent ethical behavior. Specifically, we unpack how dishonest conduct can reduce one’s generalized empathic accuracy—the ability to accurately read...
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Lee, J.J., H. Hardin, B. Parmar, and F. Gino. "The Interpersonal Costs of Dishonesty: How Dishonest Behavior Reduces Individuals' Ability to Read Others' Emotions." Journal of Experimental Psychology: General 148, no. 9 (September 2019): 1557–1574.
- 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...
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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...
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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...
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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.
- November 2018
- Article
Disruptive Innovation: An Intellectual History and Directions for Future Research
The concept of disruptive innovation has gained considerable currency among practitioners despite widespread misunderstanding of its core principles. Similarly, foundational research on disruption has elicited frequent citation and vibrant debate in academic circles,...
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Keywords:
Innovation Metrics;
Systemic Industries;
Technology Trajectories;
Disruptive Innovation;
Theory;
History;
Competitive Strategy;
Research
Christensen, Clayton M., Rory McDonald, Elizabeth J. Altman, and Jonathan E. Palmer. "Disruptive Innovation: An Intellectual History and Directions for Future Research." Special Issue on Managing in the Age of Disruptions. Journal of Management Studies 55, no. 7 (November 2018): 1043–1078.
- 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...
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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...
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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...
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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...
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