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- All HBS Web
(3,019)
- Faculty Publications (424)
- Working Paper
Non-Binary Gender Economics
By: Katherine B. Coffman, Lucas C. Coffman and Keith Marzilli Ericson
Economics research has largely overlooked non-binary individuals. We aim to jump-start the literature by providing data on several economically-important beliefs and preferences. Among many results, non-binary individuals report more gender-based discrimination and... View Details
Coffman, Katherine B., Lucas C. Coffman, and Keith Marzilli Ericson. "Non-Binary Gender Economics." NBER Working Paper Series, No. 32222, March 2024.
- 2024
- Report
The Economic Benefits of a Public Sector Nano, Micro, Small and Medium Enterprise (nMSME) Grading Agency: Evidence from Nigeria
By: Saveshen Pillay, Zaakirah Ismail, Anywhere Sikochi and Charles Odii
This is a summary of our working paper exploring the possibility of creating a public sector small and medium enterprise (SME) grading system in Emerging Markets. Using research and insights from ongoing work with the Nigerian government, the first country in Africa to... View Details
Pillay, Saveshen, Zaakirah Ismail, Anywhere Sikochi, and Charles Odii. "The Economic Benefits of a Public Sector Nano, Micro, Small and Medium Enterprise (nMSME) Grading Agency: Evidence from Nigeria." Report, 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.
- 2024
- Working Paper
Who Values Democracy?
By: Max Miller
This paper tests the conventional view that redistribution is central to the democratization process using data from stock markets. Consistent with this view, democratizations have a large, negative impact on asset valuations driven by a rise in redistribution risk.... View Details
Keywords: Government and Politics; Risk and Uncertainty; Financial Crisis; Macroeconomics; Financial Markets; Valuation
Miller, Max. "Who Values Democracy?" Working Paper, February 2024. (Revise and Resubmit, Journal of Political Economy.)
- 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
- Working Paper
Incentivizing Innovation in Open Source: Evidence from the GitHub Sponsors Program
By: Annamaria Conti, Vansh Gupta, Jorge Guzman and Maria P. Roche
Open source is key to innovation, but we know little about how to incentivize
it. In this paper, we examine the impact of a program providing monetary
incentives to motivate innovators to contribute to open source. The Sponsors
program was introduced by GitHub in... View Details
Keywords: Open Source Distribution; Innovation and Invention; Motivation and Incentives; Technology Industry
Conti, Annamaria, Vansh Gupta, Jorge Guzman, and Maria P. Roche. "Incentivizing Innovation in Open Source: Evidence from the GitHub Sponsors Program." Harvard Business School Working Paper, No. 24-014, September 2023. (NBER Working Paper Series, No. 31668, 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.)
- June 2023
- Case
Launching Egypt’s First Digital Banking Platform: QNB Bebasata
By: Mark Egan, Billy Chan and Ahmed Dahawy
The leadership team at QNB Alahli, Egypt's second biggest private bank, looked back on their efforts to create a brand-new, fully digital banking platform since 2019. A digital-only banking service was unprecedented in Egypt, a country where over 90% of financial... View Details
Keywords: Digital Transformation; Banks and Banking; Innovation and Invention; Competitive Strategy; Business Model; Product Launch; Finance; Banking Industry; Egypt
Egan, Mark, Billy Chan, and Ahmed Dahawy. "Launching Egypt’s First Digital Banking Platform: QNB Bebasata." Harvard Business School Case 223-091, June 2023.
- 2023
- Working Paper
Auditing Predictive Models for Intersectional Biases
By: Kate S. Boxer, Edward McFowland III and Daniel B. Neill
Predictive models that satisfy group fairness criteria in aggregate for members of a protected class, but do not guarantee subgroup fairness, could produce biased predictions for individuals at the intersection of two or more protected classes. To address this risk, we... View Details
Boxer, Kate S., Edward McFowland III, and Daniel B. Neill. "Auditing Predictive Models for Intersectional Biases." Working Paper, June 2023.
- June 2023
- Article
Regulatory Limits to Risk Management
By: Ishita Sen
Variable annuities, the largest liability of U.S. life insurers, are investment products containing long-dated minimum return guarantees. I show that guarantees with similar economic risks are treated differently by regulation and these differences impact insurers’... View Details
Keywords: Interest Rate Risk; Variable Annuities; Capital Regulation; Reinsurance; Derivatives; Risk Management; Interest Rates; Governing Rules, Regulations, and Reforms
Sen, Ishita. "Regulatory Limits to Risk Management." Review of Financial Studies 36, no. 6 (June 2023): 2175–2223.
- May 2023
- Article
Self-Preferencing at Amazon: Evidence from Search Rankings
By: Chiara Farronato, Andrey Fradkin and Alexander MacKay
We study whether Amazon engages in self-preferencing on its marketplace by favoring its own brands (e.g., Amazon Basics) in search. To address this question, we collect new micro-level consumer search data using a custom browser extension installed by a panel of study... View Details
Farronato, Chiara, Andrey Fradkin, and Alexander MacKay. "Self-Preferencing at Amazon: Evidence from Search Rankings." AEA Papers and Proceedings 113 (May 2023): 239–243.