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(3,000)
- Faculty Publications (429)
- June 2024
- Article
Inflation with COVID Consumption Baskets
By: Alberto Cavallo
The Covid-19 pandemic led to changes in expenditure patterns that introduced significant bias in the measurement of Consumer Price Index (CPI) inflation. Using publicly-available data on card transactions, I updated the official CPI weights and re-calculated inflation... View Details
Keywords: COVID; Consumer Expenditures; CPI; Inflation; Consumer Behavior; Inflation and Deflation; Health Pandemics
Cavallo, Alberto. "Inflation with COVID Consumption Baskets." Special Issue on The Global Economy: Looking Back, Moving Forward, Part II. IMF Economic Review 72, no. 2 (June 2024): 902–917.
- June 2024
- Article
Information Spillovers in Experience Goods Competition
By: Zhuoqiong Charlie Chen, Christopher Stanton and Catherine Thomas
When experience goods compete, consuming one product can be informative about value for similar untried products. We study a two-period model of duopoly competition in markets that have this feature and where firms can price discriminate between consumers based on... View Details
Chen, Zhuoqiong Charlie, Christopher Stanton, and Catherine Thomas. "Information Spillovers in Experience Goods Competition." Management Science 70, no. 6 (June 2024): 3923–3950.
- May 2, 2024
- Article
Require Hospitals to Disclose Their Pandemic Plans Now
By: Regina E. Herzlinger, Richard J. Boxer and Ben Creo
The COVID-19 pandemic demonstrated that U.S. hospital and health care systems were ill-prepared for the surge of patients who overwhelmed available health care resources. An overlooked resource deserves more attention: the availability of intensive care unit (ICU)... View Details
Keywords: COVID-19 Pandemic; Crisis Management; Knowledge Sharing; Governance Compliance; Planning; Health Industry; United States
Herzlinger, Regina E., Richard J. Boxer, and Ben Creo. "Require Hospitals to Disclose Their Pandemic Plans Now." Health Affairs Forefront (May 2, 2024).
- 2024
- Working Paper
Bank Runs and Interest Rates: A Revolving Lines Perspective
By: Falk Bräuning and Victoria Ivashina
Revolving credit is at the core of the banking business. Corporate revolving credit lines are demandable claims; thus, similar to a traditional bank run on deposits, sudden widespread drawdowns on credit lines can be destabilizing to the banking sector. However, we... View Details
Bräuning, Falk, and Victoria Ivashina. "Bank Runs and Interest Rates: A Revolving Lines Perspective." Working Paper, May 2024.
- May 2024 (Revised May 2024)
- Case
Market by Met Council: Revolutionizing Food Pantries in the Digital Age
By: Elisabeth Paulson and Michael W. Toffel
In fall 2023, the Food Program of Met Council—America’s largest Jewish charity dedicated to fighting poverty—completed the rollout of the newest version of its digital pantry platform to twelve food pantries in the Met Council food pantry network. The digital... View Details
Keywords: Customer Focus and Relationships; Digital Transformation; Nonprofit Organizations; Service Operations; Human Needs
Paulson, Elisabeth, and Michael W. Toffel. "Market by Met Council: Revolutionizing Food Pantries in the Digital Age." Harvard Business School Case 624-060, May 2024. (Revised May 2024.)
- May 2024
- Article
The Health Risks of Generative AI-Based Wellness Apps
By: Julian De Freitas and G. Cohen
Artifcial intelligence (AI)-enabled chatbots are increasingly being used to
help people manage their mental health. Chatbots for mental health and
particularly ‘wellness’ applications currently exist in a regulatory ‘gray area’.
Indeed, most generative AI-powered... View Details
Keywords: AI and Machine Learning; Well-being; Governing Rules, Regulations, and Reforms; Applications and Software
De Freitas, Julian, and G. Cohen. "The Health Risks of Generative AI-Based Wellness Apps." Nature Medicine 30, no. 5 (May 2024): 1269–1275.
- 2024
- Working Paper
Dusting Off the Old Ones: Drug Licensing to Startups, Innovation Success and Efficiency
By: Mosab Hammoudeh, Joshua Lev Krieger and Jiajie Xu
This paper investigates whether moving R&D from incumbents to startups can increase innovation. Using comprehensive drug development data, we examine the outcomes of drug projects licensed from large firms to startups. We find that these projects licensed to startups... View Details
Keywords: Product Development; Innovation and Invention; Business Startups; Research and Development; Performance Efficiency; Pharmaceutical Industry
Hammoudeh, Mosab, Joshua Lev Krieger, and Jiajie Xu. "Dusting Off the Old Ones: Drug Licensing to Startups, Innovation Success and Efficiency." Harvard Business School Working Paper, No. 24-067, March 2024.
- 2024
- Working Paper
Appropriate Entrepreneurship? The Rise of China and the Developing World
By: Josh Lerner, Junxi Liu, Jacob Moscona and David Yang
Global innovation and entrepreneurship has traditionally been dominated by a handful
of high-income countries, especially the US. This paper investigates the international
consequences of the rise of a new hub for innovation, focusing on the dramatic
growth of... View Details
Lerner, Josh, Junxi Liu, Jacob Moscona, and David Yang. "Appropriate Entrepreneurship? The Rise of China and the Developing World." Harvard Business School Working Paper, No. 24-061, March 2024.
- Winter 2024
- Article
Is Pay Transparency Good?
By: Zoë B. Cullen
Countries around the world are enacting pay transparency policies to combat pay discrimination. Since 2000, 71 percent of OECD countries have done so. Most are enacting transparency horizontally, revealing pay between coworkers doing similar work within a firm. While... View Details
Keywords: Policy; Wages; Knowledge Sharing; Job Design and Levels; Negotiation; Performance Productivity; Compensation and Benefits; Motivation and Incentives
Cullen, Zoë B. "Is Pay Transparency Good?" Journal of Economic Perspectives 38, no. 1 (Winter 2024): 153–180.
- 2024
- Working Paper
Warnings and Endorsements: Improving Human-AI Collaboration Under Covariate Shift
By: Matthew DosSantos DiSorbo and Kris Ferreira
Problem definition: While artificial intelligence (AI) algorithms may perform well on data that are representative of the training set (inliers), they may err when extrapolating on non-representative data (outliers). These outliers often originate from covariate shift,... View Details
DosSantos DiSorbo, Matthew, and Kris Ferreira. "Warnings and Endorsements: Improving Human-AI Collaboration Under Covariate Shift." Working Paper, February 2024.
- 2023
- Working Paper
Complexity and Hyperbolic Discounting
By: Benjamin Enke, Thomas Graeber and Ryan Oprea
A large literature shows that people discount financial rewards hyperbolically instead of exponentially. While discounting of money has been questioned as a measure of time preferences, it continues to be highly relevant in empirical practice and predicts a wide range... View Details
Keywords: Hyperbolic Discounting; Present Bias; Bounded Rationality; Cognitive Uncertainty; Behavioral Finance
Enke, Benjamin, Thomas Graeber, and Ryan Oprea. "Complexity and Hyperbolic Discounting." Harvard Business School Working Paper, No. 24-048, February 2024.
- December 2023
- Article
Recover, Explore, Practice: The Transformative Potential of Sabbaticals
By: Kira Schabram, Matt Bloom and DJ DiDonna
Sabbaticals have seen an exponential growth in adoption over the last two decades and are ascribed extensive benefits by employers and employees alike. Little is known, however, about how individuals spend their time or how their experiences impact them after they... View Details
Schabram, Kira, Matt Bloom, and DJ DiDonna. "Recover, Explore, Practice: The Transformative Potential of Sabbaticals." Academy of Management Discoveries 9, no. 4 (December 2023): 441–468.
- 2023
- Article
Which Models Have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness
By: Suraj Srinivas, Sebastian Bordt and Himabindu Lakkaraju
One of the remarkable properties of robust computer vision models is that their input-gradients are often aligned with human perception, referred to in the literature as perceptually-aligned gradients (PAGs). Despite only being trained for classification, PAGs cause... View Details
Srinivas, Suraj, Sebastian Bordt, and Himabindu Lakkaraju. "Which Models Have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness." Advances in Neural Information Processing Systems (NeurIPS) (2023).
- October 2023
- Case
To Fizzle Out or Heat Up? PepsiCo and Coca-Cola’s SodaStream and Costa Coffee Acquisitions
By: David Collis and Haisley Wert
U.S. beverage giants PepsiCo and Coca-Cola shared many similarities by August 2018—both were founded by pharmacists in the 1890s, grew to offer hundreds of drink brands, and championed rival flagship products that drove loyalists into taste-testing wars. That month,... View Details
Keywords: Corporate Strategy; Acquisition; Diversification; Expansion; Brands and Branding; Food and Beverage Industry
Collis, David, and Haisley Wert. "To Fizzle Out or Heat Up? PepsiCo and Coca-Cola’s SodaStream and Costa Coffee Acquisitions." Harvard Business School Case 724-394, October 2023.
- October 2023
- Article
Coordination and Bandwagon Effects: How Past Rankings Shape the Behavior of Voters and Candidates
By: Riako Granzier, Vincent Pons and Clémence Tricaud
Candidates’ placements in polls or past elections can be powerful coordination devices for both parties and voters. Using a regression discontinuity design in French elections, we show that candidates who place first by only a small margin in the first round are more... View Details
Keywords: Strategic Voting; Coordination; Bandwagon Effect; Regression Discontinuity Design; French Elections; Voting; Political Elections; Behavior; France
Granzier, Riako, Vincent Pons, and Clémence Tricaud. "Coordination and Bandwagon Effects: How Past Rankings Shape the Behavior of Voters and Candidates." American Economic Journal: Applied Economics 15, no. 4 (October 2023): 177–217.
- October 2023
- Article
Product Variety, the Cost of Living, and Welfare Across Countries
By: Alberto Cavallo, Robert C. Feenstra and Robert Inklaar
We use the structure of the Melitz (2003) model to compute the cost of living and welfare across 47 countries, and compare these to conventional measures of prices and real consumption from the International Comparisons Project (ICP). The cost of living is inferred... View Details
Cavallo, Alberto, Robert C. Feenstra, and Robert Inklaar. "Product Variety, the Cost of Living, and Welfare Across Countries." American Economic Journal: Macroeconomics 15, no. 4 (October 2023): 40–66.
- 2023
- Working Paper
The Effect of Childhood Environment on Political Behavior: Evidence from Young U.S. Movers, 1992–2021
By: Jacob R. Brown, Enrico Cantoni, Sahil Chinoy, Martin Koenen and Vincent Pons
We ask how childhood environment shapes political behavior. We measure young voters’ participation and party affiliation in nationally comprehensive voter files and reconstruct their childhood location histories based on their parents’ addresses. We compare outcomes of... View Details
Brown, Jacob R., Enrico Cantoni, Sahil Chinoy, Martin Koenen, and Vincent Pons. "The Effect of Childhood Environment on Political Behavior: Evidence from Young U.S. Movers, 1992–2021." NBER Working Paper Series, No. 31759, October 2023.
- 2023
- Working Paper
Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality
By: Fabrizio Dell'Acqua, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon and Karim R. Lakhani
The public release of Large Language Models (LLMs) has sparked tremendous interest in how humans will use Artificial Intelligence (AI) to accomplish a variety of tasks. In our study conducted with Boston Consulting Group, a global management consulting firm, we examine... View Details
Keywords: Large Language Model; AI and Machine Learning; Performance Efficiency; Performance Improvement
Dell'Acqua, Fabrizio, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon, and Karim R. Lakhani. "Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality." Harvard Business School Working Paper, No. 24-013, September 2023.
- 2023
- Article
Evidence from the First Shared Medical Appointments (SMAs) Randomised Controlled Trial in India: SMAs Increase the Satisfaction, Knowledge, and Medication Compliance of Patients with Glaucoma
By: Nazlı Sönmez, Kavitha Srinivasan, Rengaraj Venkatesh, Ryan W. Buell and Kamalini Ramdas
In Shared Medical Appointments (SMAs), patients with similar conditions meet the physician together and each receives one-on-one attention. SMAs can improve outcomes and physician productivity. Yet privacy concerns have stymied adoption. In physician-deprived nations,... View Details
Sönmez, Nazlı, Kavitha Srinivasan, Rengaraj Venkatesh, Ryan W. Buell, and Kamalini Ramdas. "Evidence from the First Shared Medical Appointments (SMAs) Randomised Controlled Trial in India: SMAs Increase the Satisfaction, Knowledge, and Medication Compliance of Patients with Glaucoma." e0001648. PLoS Global Public Health 3, no. 7 (2023).
- July 2023 (Revised July 2023)
- Background Note
Generative AI Value Chain
By: Andy Wu and Matt Higgins
Generative AI refers to a type of artificial intelligence (AI) that can create new content (e.g., text, image, or audio) in response to a prompt from a user. ChatGPT, Bard, and Claude are examples of text generating AIs, and DALL-E, Midjourney, and Stable Diffusion are... View Details
Keywords: AI; Artificial Intelligence; Model; Hardware; Data Centers; AI and Machine Learning; Applications and Software; Analytics and Data Science; Value
Wu, Andy, and Matt Higgins. "Generative AI Value Chain." Harvard Business School Background Note 724-355, July 2023. (Revised July 2023.)