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- All HBS Web
(1,649)
- Faculty Publications (328)
- November 2023
- Article
Coalition Cascades: The Politics of Tipping Points in Clean Energy Transitions
By: Jonas Meckling and Nicholas Goedeking
Policy change often involves multiple policy subsystems, as in the case of clean energy transitions. We argue that trans- subsystem policy feedback is a central dynamic in policy change across subsystems. Policy in one subsystem creates ... View Details
Meckling, Jonas, and Nicholas Goedeking. "Coalition Cascades: The Politics of Tipping Points in Clean Energy Transitions." Policy Studies Journal 51, no. 4 (November 2023): 715–739.
- 2023
- Working Paper
Are Hospital Quality Indicators Causal?
By: Amitabh Chandra, Maurice Dalton and Douglas O. Staiger
Hospitals play a key role in patient outcomes and spending, but efforts to improve their quality are hindered because we do not know whether hospital quality indicators are causal or biased. We evaluate the validity of commonly used quality indicators, such as... View Details
Keywords: Quality; Health Care and Treatment; Measurement and Metrics; Outcome or Result; Health Industry
Chandra, Amitabh, Maurice Dalton, and Douglas O. Staiger. "Are Hospital Quality Indicators Causal?" NBER Working Paper Series, No. 31789, October 2023.
- September 2023
- Article
The Dynamics of Team Learning: Harmony and Rhythm in Teamwork Arrangements for Innovation
By: Jean-François Harvey, Johnathan R. Cromwell, Kevin J. Johnson and Amy C. Edmondson
Innovation teams must navigate inherent tensions between different learning activities to produce high levels of performance. Yet, we know little about how teams combine these activities—notably reflexive, experimental, vicarious, and contextual learning—most... View Details
Keywords: Groups and Teams; Learning; Performance Effectiveness; Collaborative Innovation and Invention
Harvey, Jean-François, Johnathan R. Cromwell, Kevin J. Johnson, and Amy C. Edmondson. "The Dynamics of Team Learning: Harmony and Rhythm in Teamwork Arrangements for Innovation." Administrative Science Quarterly 68, no. 3 (September 2023): 601–647.
- October 2023
- Article
What Does the Inflation Reduction Act Mean for Patients and Physicians?
By: Amitabh Chandra and Benedic Ippolito
The debate around prescription drug measures in the recently passed U.S. Inflation Reduction Act (IRA), which limit some patients’ out-of-pocket costs, has not fully addressed their effect on physicians and patients via their effect on payers. Reducing patients’ costs... View Details
Chandra, Amitabh, and Benedic Ippolito. "What Does the Inflation Reduction Act Mean for Patients and Physicians?" NEJM Catalyst Innovations in Care Delivery 4, no. 10 (October 2023).
- August 2023 (Revised May 2024)
- Case
Dicerna Pharmaceuticals: Decision Making in Clinical Trial Design and Operations
By: Satish Tadikonda and Amanda McEwen
The success or failure of Dicerna Pharmaceuticals (Dicerna) as an emerging pharmaceutical company would likely hinge on its lead drug candidate Nedosiran and the company’s ability to see it successfully through clinical development. Ralf Rosskamp, Chief Medical... View Details
Keywords: Business Strategy; Health Testing and Trials; Product Development; Governing Rules, Regulations, and Reforms; Pharmaceutical Industry
Tadikonda, Satish, and Amanda McEwen. "Dicerna Pharmaceuticals: Decision Making in Clinical Trial Design and Operations." Harvard Business School Case 824-018, August 2023. (Revised May 2024.)
- 2023
- Working Paper
Much Ado About Nothing? Overreaction to Random Regulatory Audits
By: Samuel Antill and Joseph Kalmenovitz
Regulators often audit firms to detect non-compliance. Exploiting a natural experiment in the lobbying industry, we show that firms overreact to audits and this response distorts prices and reduces welfare. Each year, federal regulators audit a random sample of... View Details
Antill, Samuel, and Joseph Kalmenovitz. "Much Ado About Nothing? Overreaction to Random Regulatory Audits." Working Paper, August 2023.
- July 2023
- Article
Before or After? The Effects of Payment Decision Timing in Pay-What-You-Want Contexts
By: Raghabendra P. KC, Vincent Mak and Elie Ofek
We study how payment decision timing—before versus after product delivery—influences consumer payment under pay-what-you-want pricing. We focus on situations where there is minimal change in consumer uncertainty regarding the product before versus after receiving it.... View Details
KC, Raghabendra P., Vincent Mak, and Elie Ofek. "Before or After? The Effects of Payment Decision Timing in Pay-What-You-Want Contexts." Journal of Marketing 87, no. 4 (July 2023): 618–635.
- July 2023
- Article
Design and Analysis of Switchback Experiments
By: Iavor I Bojinov, David Simchi-Levi and Jinglong Zhao
In switchback experiments, a firm sequentially exposes an experimental unit to a random treatment, measures its response, and repeats the procedure for several periods to determine which treatment leads to the best outcome. Although practitioners have widely adopted... View Details
Bojinov, Iavor I., David Simchi-Levi, and Jinglong Zhao. "Design and Analysis of Switchback Experiments." Management Science 69, no. 7 (July 2023): 3759–3777.
- July 2023
- Article
So, Who Likes You? Evidence from a Randomized Field Experiment
By: Ravi Bapna, Edward McFowland III, Probal Mojumder, Jui Ramaprasad and Akhmed Umyarov
With one-third of marriages in the United States beginning online, online dating platforms have become important curators of the modern social fabric. Prior work on online dating has elicited two critical frictions in the heterosexual dating market. Women, governed by... View Details
Keywords: Online Dating; Internet and the Web; Analytics and Data Science; Gender; Emotions; Social and Collaborative Networks
Bapna, Ravi, Edward McFowland III, Probal Mojumder, Jui Ramaprasad, and Akhmed Umyarov. "So, Who Likes You? Evidence from a Randomized Field Experiment." Management Science 69, no. 7 (July 2023): 3939–3957.
- June 2023
- Article
Do Job Seekers Value Diversity Information? Evidence from a Field Experiment and Human Capital Disclosures
By: Jung Ho Choi, Joseph Pacelli, Kristina M. Rennekamp and Sorabh Tomar
We examine how information about the diversity of a potential employer's workforce affects individuals’ job-seeking behavior. We embed a field experiment in job recommendation emails from a leading career advice agency in the U.S. The experimental treatment involves... View Details
Choi, Jung Ho, Joseph Pacelli, Kristina M. Rennekamp, and Sorabh Tomar. "Do Job Seekers Value Diversity Information? Evidence from a Field Experiment and Human Capital Disclosures." Journal of Accounting Research 61, no. 3 (June 2023): 695–735.
- 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
Jakubowski, Benjamin, Siram Somanchi, Edward McFowland III, and Daniel B. Neill. "Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators." Journal of Machine Learning Research 24, no. 133 (2023): 1–57.
- May 2023 (Revised June 2023)
- Case
Novartis (A): Reimagining Medicine
By: Ramon Casadesus-Masanell, Claudio Feser, Karolin Frankenberger and David Redaschi
This case unfolds around the first-ever approved personalized cancer treatment, how Novartis wrapped it into a new business model design, and how Novartis scaled it. Novartis — one of the largest pharmaceutical companies in the world — is, among other ventures,... View Details
Keywords: Health Care and Treatment; Business Model; Leadership; Pharmaceutical Industry; Switzerland
Casadesus-Masanell, Ramon, Claudio Feser, Karolin Frankenberger, and David Redaschi. "Novartis (A): Reimagining Medicine." Harvard Business School Case 723-443, May 2023. (Revised June 2023.)
- May 2023 (Revised June 2023)
- Supplement
Novartis (B): Reimagining Medicine
By: Ramon Casadesus-Masanell, Claudio Feser, Karolin Frankenberger and David Redaschi
This case unfolds around the first-ever approved personalized cancer treatment, how Novartis wrapped it into a new business model design, and how Novartis scaled it. Novartis — one of the largest pharmaceutical companies in the world — is, among other ventures,... View Details
Keywords: Health Care and Treatment; Business Model; Production; Business Strategy; Pharmaceutical Industry
Casadesus-Masanell, Ramon, Claudio Feser, Karolin Frankenberger, and David Redaschi. "Novartis (B): Reimagining Medicine." Harvard Business School Supplement 723-444, May 2023. (Revised June 2023.)
- May 2023 (Revised June 2023)
- Supplement
Novartis (C): Reimagining Medicine
By: Ramon Casadesus-Masanell, Claudio Feser, Karolin Frankenberger and David Redaschi
This case unfolds around the first-ever approved personalized cancer treatment, how Novartis wrapped it into a new business model design, and how Novartis scaled it. Novartis — one of the largest pharmaceutical companies in the world — is, among other ventures,... View Details
Keywords: Health Testing and Trials; Health Care and Treatment; Business Model; Problems and Challenges; Pharmaceutical Industry; Switzerland
Casadesus-Masanell, Ramon, Claudio Feser, Karolin Frankenberger, and David Redaschi. "Novartis (C): Reimagining Medicine." Harvard Business School Supplement 723-445, May 2023. (Revised June 2023.)
- 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
Alley, Michael, Max Biggs, Rim Hariss, Charles Herrmann, Michael Lingzhi Li, and Georgia Perakis. "Pricing for Heterogeneous Products: Analytics for Ticket Reselling." Manufacturing & Service Operations Management 25, no. 2 (March–April 2023): 409–426.
- April 2023
- Article
The Real Exchange Rate, Innovation and Productivity
By: Laura Alfaro, Alejandro Cuñat, Harald Fadinger and Yanping Liu
We evaluate manufacturing firms' responses to changes in the real exchange rate (RER) using detailed firm-level data for a large set of countries for the period 2001-2010. We uncover the following stylized facts about regional variation of manufacturing firms'... View Details
Keywords: Real Exchange Rate; Firm Level Data; Innovation; Productivity; Exporting; Importing; Credit Constraints; Currency Exchange Rate; Innovation and Invention; Performance Productivity
Alfaro, Laura, Alejandro Cuñat, Harald Fadinger, and Yanping Liu. "The Real Exchange Rate, Innovation and Productivity." Journal of the European Economic Association 21, no. 2 (April 2023): 637–689.
- 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
Bertsimas, Dimitris, Kosuke Imai, and Michael Lingzhi Li. "Distributionally Robust Causal Inference with Observational Data." Working Paper, February 2023.
- 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
Keywords: Causal Inference; Heterogeneous Treatment Effects; Precision Medicine; Uplift Modeling; Analytics and Data Science; AI and Machine Learning
Imai, Kosuke, and Michael Lingzhi Li. "Experimental Evaluation of Individualized Treatment Rules." Journal of the American Statistical Association 118, no. 541 (2023): 242–256.
- December 8, 2022
- Article
The New China Shock: How Beijing’s Party-State Capitalism Is Changing the Global Economy
By: Margaret M. Pearson, Meg Rithmire and Kellee S. Tsai
In the wake of the global financial crisis of 2008, China began to move away from the market-based approach that had shaped its economic policies for three decades, and toward something that might be termed “party-state capitalism,” which involves a high degree of... View Details
Pearson, Margaret M., Meg Rithmire, and Kellee S. Tsai. "The New China Shock: How Beijing’s Party-State Capitalism Is Changing the Global Economy." ForeignAffairs.com (December 8, 2022).
- October 2022
- Article
Amplification in the Evaluation of Multiple Emotional Expressions over Time
By: Amit Goldenberg, Jonas Schöne, Zi Huang, Timothy D. Sweeny, Desmond C. Ong, Timothy Brady, Maria M. Robinson, David Levari, Jamil Zaki and James J. Gross
Social interactions are dynamic and unfold over time. To make sense of social interactions, people must aggregate sequential information into summary, global evaluations. But how do people do this? Here, to address this question, we conducted nine studies (N = 1,583)... View Details
Goldenberg, Amit, Jonas Schöne, Zi Huang, Timothy D. Sweeny, Desmond C. Ong, Timothy Brady, Maria M. Robinson, David Levari, Jamil Zaki, and James J. Gross. "Amplification in the Evaluation of Multiple Emotional Expressions over Time." Nature Human Behaviour 6, no. 10 (October 2022): 1408–1416.