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- September 2025
- Article
Using Satellites and Phones to Evaluate and Promote Agricultural Technology Adoption: Evidence from Smallholder Farms in India
By: Shawn Cole, Tomoko Harigaya, Grady Killeen and Aparna Krishna
This paper evaluates a low-cost, customized soil nutrient management advisory service in India. As a methodological contribution, we examine whether and in which settings satellite measurements may be effective at estimating both agricultural yields and treatment... View Details
Keywords: Measurement and Metrics; Mathematical Methods; Analytics and Data Science; Agriculture and Agribusiness Industry; India
Cole, Shawn, Tomoko Harigaya, Grady Killeen, and Aparna Krishna. "Using Satellites and Phones to Evaluate and Promote Agricultural Technology Adoption: Evidence from Smallholder Farms in India." Journal of Development Economics 176 (September 2025).
- April 2025
- Article
Corporate Ownership and ESG Performance
By: Belen Villalonga, Peter Tufano and Boya Wang
Using a sample of 3083 firms from 62 countries over 18 years, we analyze how the structure and identity of firms' material owners influence their Environmental, Social, and Governance (ESG) performance. We find that firms with founding families or other individual... View Details
Keywords: ESG; CSR; Family Firms; Social Responsibility; Environment; Sustainability; Ownership; Corporate Social Responsibility and Impact; Corporate Governance; Environmental Sustainability
Villalonga, Belen, Peter Tufano, and Boya Wang. "Corporate Ownership and ESG Performance." Journal of Corporate Finance 91 (April 2025).
- 2025
- Working Paper
How to Choose Among Technologies with Learning Curves: Making Better Investment Decisions
By: Christian Kaps and Arielle Anderer
Learning curves, the fact that technologies improve as a function of cumulative experience or investment, are desirable-think inexpensive solar panels or higher performing semiconductors. But, for firms that need to pick one technology among several candidates, such as... View Details
Keywords: Learning Curve; Technology; Innovation; Batteries; Energy Storage; Sequential Decision Making; TELCO; Exploration; Exploitation; Problems and Challenges; Cost vs Benefits; Technology Adoption; Battery Industry
Kaps, Christian, and Arielle Anderer. "How to Choose Among Technologies with Learning Curves: Making Better Investment Decisions." Working Paper, March 2025.
- 2025
- Working Paper
Methane Abatement Costs in the Oil and Gas Industry: Survey and Synthesis
By: Joseph E. Aldy, Forest Reinhardt and Robert N. Stavins
There is growing recognition of the relative importance of anthropogenic emissions of methane as a contributor to global climate change. An important source of such emissions in some countries, including the United States, is the oil and gas (O&G) sector. This points... View Details
Keywords: Emission Reduction; Environmental Sustainability; Climate Change; Pollutants; Energy Industry
Aldy, Joseph E., Forest Reinhardt, and Robert N. Stavins. "Methane Abatement Costs in the Oil and Gas Industry: Survey and Synthesis." NBER Working Paper Series, No. 33564, March 2025.
- 2025
- Working Paper
Using Satellites and Phones to Evaluate and Promote Agricultural Technology Adoption: Evidence from Smallholder Farms in India
By: Shawn Cole, Grady Killeen, Tomoko Harigaya and Aparna Krishna
This paper evaluates a low-cost, customized soil nutrient management advisory service in India. As a methodological contribution, we examine whether and in which settings satellite measurements may be effective at estimating both agricultural yields and treatment... View Details
Keywords: Performance Evaluation; Technology Adoption; Measurement and Metrics; Analytics and Data Science; Agriculture and Agribusiness Industry; India
Cole, Shawn, Grady Killeen, Tomoko Harigaya, and Aparna Krishna. "Using Satellites and Phones to Evaluate and Promote Agricultural Technology Adoption: Evidence from Smallholder Farms in India." Harvard Business School Working Paper, No. 25-035, January 2025.
- 2025
- Working Paper
Home Sweet Home: How Much Do Employees Value Remote Work?
By: Zoë B. Cullen, Bobak Pakzad-Hurson and Ricardo Perez-Truglia
We estimate the value employees place on remote work using revealed preferences in a high-stakes, real-world context, focusing on U.S. tech workers. On average, employees are willing to accept a 25% pay cut for partly or fully remote roles. Our estimates are three to... View Details
Cullen, Zoë B., Bobak Pakzad-Hurson, and Ricardo Perez-Truglia. "Home Sweet Home: How Much Do Employees Value Remote Work?" NBER Working Paper Series, No. 33383, January 2025.
- 2025
- Article
Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments
By: Kosuke Imai and Michael Lingzhi Li
Researchers are increasingly turning to machine learning (ML) algorithms to investigate causal heterogeneity in randomized experiments. Despite their promise, ML algorithms may fail to accurately ascertain heterogeneous treatment effects under practical settings with... View Details
Imai, Kosuke, and Michael Lingzhi Li. "Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments." Journal of Business & Economic Statistics 43, no. 1 (2025): 256–268.
- October 10, 2024
- Article
Characteristics of Creative Individuals: An Umbrella Review Protocol
By: Alex Thabane, Tyler McKechnie, Phillip Staibano, Goran Calic, Colin Kruse, Jason W. Busse, Samee Parpia and Mohit Bhandari
The properties of creative products–novelty and usefulness–are generally agreed upon by researchers. Yet, consensus is lacking on which personal and environmental factors contribute to an individual’s creative potential, or to what extent. substantial research work has... View Details
Thabane, Alex, Tyler McKechnie, Phillip Staibano, Goran Calic, Colin Kruse, Jason W. Busse, Samee Parpia, and Mohit Bhandari. "Characteristics of Creative Individuals: An Umbrella Review Protocol." PLoS ONE 19, no. 10 (October 10, 2024).
- 2024
- Article
Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules
By: Michael Lingzhi Li and Kosuke Imai
A century ago, Neyman showed how to evaluate the efficacy of treatment using a randomized experiment under a minimal set of assumptions. This classical repeated sampling framework serves as a basis of routine experimental analyses conducted by today’s scientists across... View Details
Li, Michael Lingzhi, and Kosuke Imai. "Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules." Journal of Causal Inference 12, no. 1 (2024).
- June 2024
- Article
Oral History and Business History in Emerging Markets
By: Geoffrey Jones
This article describes the motivation, structure and use of the Creating Emerging Markets (CEM) oral history-based project at the Harvard Business School. The project consists of lengthy interviews with business leaders from emerging markets. By June 2024 183... View Details
Jones, Geoffrey. "Oral History and Business History in Emerging Markets." Investigaciones de historia económica 20, no. 2 (June 2024): 1–4.
- June 2024
- Article
Valuing the Societal Impact of Medicines and Other Health Technologies: A User Guide to Current Best Practices
By: Jason Shafrin, Jaehong Kim, Joshua T. Cohen, Louis P. Garrison, Dana A. Goldman, Jalpa A. Doshi, Joshua Krieger, Darius N. Lakdawalla, Peter J. Neumann, Charles E. Phelps, Melanie D. Whittington and Richard Willke
This study argues that value assessment conducted from a societal perspective should rely on the Generalized Cost-Effectiveness Analysis (GCEA) framework proposed herein. Recently developed value assessment inventories—such as the Second Panel on Cost-Effectiveness’s... View Details
Shafrin, Jason, Jaehong Kim, Joshua T. Cohen, Louis P. Garrison, Dana A. Goldman, Jalpa A. Doshi, Joshua Krieger, Darius N. Lakdawalla, Peter J. Neumann, Charles E. Phelps, Melanie D. Whittington, and Richard Willke. "Valuing the Societal Impact of Medicines and Other Health Technologies: A User Guide to Current Best Practices." Forum of Health Economics and Policy 27, no. 1 (June 2024): 29–116.
- 2024
- Working Paper
Anytime-Valid Inference in Linear Models and Regression-Adjusted Causal Inference
By: Michael Lindon, Dae Woong Ham, Martin Tingley and Iavor I. Bojinov
Linear regression adjustment is commonly used to analyze randomized controlled experiments due to its efficiency and robustness against model misspecification. Current testing and interval estimation procedures leverage the asymptotic distribution of such estimators to... View Details
Lindon, Michael, Dae Woong Ham, Martin Tingley, and Iavor I. Bojinov. "Anytime-Valid Inference in Linear Models and Regression-Adjusted Causal Inference." Harvard Business School Working Paper, No. 24-060, March 2024.
- Working Paper
Visual Uniqueness in Peer-to-Peer Marketplaces: Machine Learning Model Development, Validation, and Application
By: Flora Feng, Charis Li and Shunyuan Zhang
Peer-to-peer (P2P) marketplaces have seen exponential growth in recent years featured by unique offerings from individual providers. Despite the perceived value of uniqueness, scalable quantification of visual uniqueness in P2P platforms like Airbnb has been largely... View Details
Keywords: Peer-to-peer Markets; Marketplace Matching; AI and Machine Learning; Demand and Consumers; Digital Platforms; Marketing
Feng, Flora, Charis Li, and Shunyuan Zhang. "Visual Uniqueness in Peer-to-Peer Marketplaces: Machine Learning Model Development, Validation, and Application." SSRN Working Paper Series, No. 4665286, February 2024.
- November 2023 (Revised November 2024)
- Case
Decarbonizing Shipping at A.P. Møller-Maersk (A)
By: Willy Shih, Michael W. Toffel and Kelsey Carter
Container shipping was responsible for moving more than 80% of globally traded goods, and almost 3% of global greenhouse gas emissions. A.P. Møller-Maersk, one of the top three container lines, conducted an extensive lifecycle assessment (LCA) of alternative fuels,... View Details
Keywords: Greenhouse Gas Emissions; Energy Sources; Environmental Sustainability; Ship Transportation; Shipping Industry
Shih, Willy, Michael W. Toffel, and Kelsey Carter. "Decarbonizing Shipping at A.P. Møller-Maersk (A)." Harvard Business School Case 624-049, November 2023. (Revised November 2024.)
- November–December 2023
- Article
Iterative Coordination and Innovation: Prioritizing Value over Novelty
By: Sourobh Ghosh and Andy Wu
An innovating organization faces the challenge of how to prioritize distinct goals of novelty and value, both of which underlie innovation. Popular practitioner frameworks like Agile management suggest that organizations can adopt an iterative approach of frequent... View Details
Keywords: Innovation; Novelty; Goals; Specialization; Coordination; Field Experiment; Software Development; Agile; Scrum; Iteration; Iterative; Organizations; Innovation and Invention; Value; Goals and Objectives; Integration; Applications and Software
Ghosh, Sourobh, and Andy Wu. "Iterative Coordination and Innovation: Prioritizing Value over Novelty." Organization Science 34, no. 6 (November–December 2023): 2182–2206.
- October 2023
- Case
Prime Coalition: Estimating Climate Impact
A case on CRANE, a tool to help investors and green technology companies estimate the future climate impact of new technologies and products, called emissions reduction potential (ERP). The case includes material on CRANE’s methodology for estimating future carbon... View Details
Keywords: Carbon Emissions; Environmental Accounting; Analysis; Climate Change; Green Technology; Innovation and Invention; Measurement and Metrics; Philanthropy and Charitable Giving; Risk and Uncertainty; Nonprofit Organizations; Social Enterprise
Rigol, Natalia, Benjamin N. Roth, Brian Trelstad, and Amram Migdal. "Prime Coalition: Estimating Climate Impact." Harvard Business School Case 824-119, October 2023.
- September–October 2023
- Article
Prospective Evaluation of the Cost of Performing Breast Imaging Examinations Using Time-Driven Activity-Based Costing Method: A Single Center Study
By: Aamir Ali, Jordana Phillips, Damir Ljuboja, Syed S. Shehab, Etta D. Pisano, Robert S. Kaplan and Ammar Sarwar
We use time-driven activity-based costing (TDABC) to measure the cost of performing breast imaging using different modalities: full-field digital mammography (FFDM), digital breast tomosynthesis (DBT), contrast-enhanced mammography (CEM), US and MRI exams, and... View Details
Keywords: Time-Driven Activity-Based Costing; Health Care; Breast Cancer; Health Care and Treatment; Cost; Cost Accounting; Health Industry
Ali, Aamir, Jordana Phillips, Damir Ljuboja, Syed S. Shehab, Etta D. Pisano, Robert S. Kaplan, and Ammar Sarwar. "Prospective Evaluation of the Cost of Performing Breast Imaging Examinations Using Time-Driven Activity-Based Costing Method: A Single Center Study." Journal of Breast Imaging 5, no. 5 (September–October 2023): 546–554.
- 2024
- Working Paper
Anti-Political-Establishment Citizens: An In-Depth Study from Two Latin American Countries
By: Loreto Cox and Natalia Garbiras-Diaz
Building on citizens’ animosity towards politicians, anti-establishment parties and
candidates have achieved significant electoral success. While recent studies examine
the supply-side, we know little about what drives citizens’ anti-establishment sentiments and how... View Details
Keywords: Political Parties; Political Instability; Democracy; Elections; Electoral Behavior; Election Outcomes; Ideology; Political Elections; Policy; Governance; Government and Politics; Social Issues; Society; Perception; Crime and Corruption; Latin America; South America; Colombia; Peru
Cox, Loreto, and Natalia Garbiras-Diaz. "Anti-Political-Establishment Citizens: An In-Depth Study from Two Latin American Countries." Working Paper, July 2024.
- 2023
- Working Paper
The Complexity of Economic Decisions
By: Xavier Gabaix and Thomas Graeber
We propose a theory of the complexity of economic decisions. Leveraging a macroeconomic framework of production functions, we conceptualize the mind as a cognitive economy, where a task’s complexity is determined by its composition of cognitive operations. Complexity... View Details
Gabaix, Xavier, and Thomas Graeber. "The Complexity of Economic Decisions." Harvard Business School Working Paper, No. 24-049, February 2024.
- June 2023
- Case
Barton Malow: Building From the Top-Down
By: Hise O. Gibson and Alicia Dadlani
In 2023, Detroit-based Barton Malow completed the first high-rise building in the U.S. built from the top-down using LIFTbuild, a patented methodology that aimed to make construction safer and more efficient. By completing building work at ground level and then... View Details
Gibson, Hise O., and Alicia Dadlani. "Barton Malow: Building From the Top-Down." Harvard Business School Case 623-060, June 2023.