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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).
- 2025
- Article
Difference-in-Differences Subset Scan
By: Will Stamey, Sriram Somanchi and Edward McFowland III
Difference-in-differences (DiD) has been extensively applied in the literature to elicit the average causal effect of an intervention or policy. Though researchers explore heterogeneity in the treatment effect with respect to time or some observed covariate (usually... View Details
Stamey, Will, Sriram Somanchi, and Edward McFowland III. "Difference-in-Differences Subset Scan." Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining 31st (2025): 2656–2667.
- Article
Faith and Assimilation: Italian Immigrants in the U.S.
By: Stefano Gagliarducci and Marco Tabellini
How do ethnic religious organizations influence immigrant assimilation? To answer this question, we assemble novel data from the Catholic directories to measure the presence of Italian Catholic churches in the US between 1890 and 1920, when four million Italians moved... View Details
Gagliarducci, Stefano, and Marco Tabellini. "Faith and Assimilation: Italian Immigrants in the U.S." Economic Journal 135, no. 670 (August 1, 2025): 1814–1851. (Also available from NBER and featured in NBER Digest and VoxEU.)
- 2025
- Working Paper
In Privacy We Trust: The Effect of Privacy Regulations on Data Sharing Behavior
By: Ozge Demirci, Ayelet Israeli and Eva Ascarza
This paper studies the impact of privacy policies on consumer data-sharing behavior, focusing on policy changes in California and Virginia that took effect in 2023. Using data from a leading customer engagement app in the United States, where users upload shopping... View Details
Keywords: Privacy; Privacy Regulation; Data Sharing; Digital Platforms; Policy; Surveys; Behavior; Public Opinion; California; Virginia
Demirci, Ozge, Ayelet Israeli, and Eva Ascarza. "In Privacy We Trust: The Effect of Privacy Regulations on Data Sharing Behavior." Harvard Business School Working Paper, No. 26-001, July 2025.
- July 2025
- Article
Digital Lending and Financial Well-Being: Through the Lens of Mobile Phone Data
By: AJ Chen, Omri Even-Tov, Jung Koo Kang and Regina Wittenberg-Moerman
To mitigate information asymmetry about borrowers in developing economies, digital lenders use machine-learning algorithms and nontraditional data from borrowers’ mobile devices. Consequently, digital lenders have managed to expand access to credit for millions of... View Details
Keywords: Informal Economy; Digital Banking; Mobile Phones; Developing Countries and Economies; Mobile and Wireless Technology; AI and Machine Learning; Analytics and Data Science; Credit; Borrowing and Debt; Well-being; Banking Industry; Kenya
Chen, AJ, Omri Even-Tov, Jung Koo Kang, and Regina Wittenberg-Moerman. "Digital Lending and Financial Well-Being: Through the Lens of Mobile Phone Data." Accounting Review 100, no. 4 (July 2025): 135–159.
- July 2025
- Article
No Free Lunch? Welfare Analysis of Firms Selling Through Expert Intermediaries
By: Matt Grennan, Kyle R. Myers, Ashley Swanson and Aaron Chatterji
We study how firms target and influence expert intermediaries. In our context, pharmaceutical manufacturers provide payments to physicians during promotional interactions. We develop an identification strategy based on plausibly exogenous variation in payments driven... View Details
Keywords: Duopoly and Oligopoly; Marketing Channels; Power and Influence; Policy; Outcome or Result; Pharmaceutical Industry
Grennan, Matt, Kyle R. Myers, Ashley Swanson, and Aaron Chatterji. "No Free Lunch? Welfare Analysis of Firms Selling Through Expert Intermediaries." Review of Economic Studies 92, no. 4 (July 2025): 2537–2577.
- June 2025
- Case
Parque del Sendero: Repositioning in the Death Care Industry in Chile
By: Jill Avery, Andres Cuneo and Marco Bertini
Facing changing consumer behavior and shifting industry conditions, Parque del Sendero, one of largest networks of cemeteries in Chile, considers repositioning its products to appeal to a broader swath of Chilean customers to fuel growth and a more profitable business... View Details
- June 2025
- Article
Riding the Passion Wave or Fighting to Stay Afloat? A Theory of Differentiated Passion Contagion
By: Emma Frank, Kai Krautter, Wen Wu and Jon M. Jachimowicz
Prior research suggests that employees benefit from highly passionate teammates because passion spreads easily from one employee to the next. We develop theory to propose that life in high-passion teams may not be as uniformly advantageous as previously assumed. We... View Details
Keywords: Passion; Emotional Contagion; Emotions; Groups and Teams; Employees; Power and Influence; Performance Improvement
Frank, Emma, Kai Krautter, Wen Wu, and Jon M. Jachimowicz. "Riding the Passion Wave or Fighting to Stay Afloat? A Theory of Differentiated Passion Contagion." Administrative Science Quarterly 70, no. 2 (June 2025): 444–495.
- 2025
- Working Paper
An Empirical Examination of Business Climate Alliances: Effective and/or Harmful?
By: Matteo Gasparini and Peter Tufano
This research studies business alliances that seek to address climate change, offering empirical evidence to address claims advanced by alliance supporters and critics. We study eleven major alliances mostly focused on financial services firms and 424 major... View Details
Keywords: Antitrust; Climate Change; Financial Institutions; Competition; Network Effects; Alliances
Gasparini, Matteo, and Peter Tufano. "An Empirical Examination of Business Climate Alliances: Effective and/or Harmful?" Harvard Business School Working Paper, No. 25-060, May 2025.
- May–June 2025
- Article
Slowly Varying Regression Under Sparsity
By: Dimitris Bertsimas, Vassilis Digalakis Jr, Michael Lingzhi Li and Omar Skali Lami
We consider the problem of parameter estimation in slowly varying regression models with sparsity constraints. We formulate the problem as a mixed integer optimization problem and demonstrate that it can be reformulated exactly as a binary convex optimization problem... View Details
Bertsimas, Dimitris, Vassilis Digalakis Jr, Michael Lingzhi Li, and Omar Skali Lami. "Slowly Varying Regression Under Sparsity." Operations Research 73, no. 3 (May–June 2025): 1581–1597.
- 2025
- Working Paper
Training Within Firms
By: Brayan Diaz, Andrea Neyra-Nazarrett, Julian Ramirez, Raffaella Sadun and Jorge Tamayo
Training investments are essential for improving worker and firm productivity, yet their
implementation is often hindered by low participation rates and insufficient worker engagement.
This study uses data from three firms–a car manufacturer, a quick-service... View Details
Keywords: Productivity; Absenteeism; Middle Managers; Training; Management Practices and Processes; Performance Productivity; Employees
Diaz, Brayan, Andrea Neyra-Nazarrett, Julian Ramirez, Raffaella Sadun, and Jorge Tamayo. "Training Within Firms." Harvard Business School Working Paper, No. 25-045, April 2025.
- April 2025
- Article
The Impact of Minority Representation at Mortgage Lenders
By: W. Scott Frame, Ruidi Huang, Erica Jiang, Yeonjoon Lee, Will Liu, Erik J. Mayer and Adi Sunderam
We study links between the labor market for loan officers and access to mortgage credit. Using novel data matching the (near) universe of mortgage applications to loan officers, we find that minorities are significantly underrepresented among loan officers. Minority... View Details
Keywords: Household Finance; Demographic Economics; Financial Institutions; Diversity; Prejudice and Bias; Mortgages; Personal Finance
Frame, W. Scott, Ruidi Huang, Erica Jiang, Yeonjoon Lee, Will Liu, Erik J. Mayer, and Adi Sunderam. "The Impact of Minority Representation at Mortgage Lenders." Journal of Finance 80, no. 2 (April 2025): 1209–1260.
- 2025
- Working Paper
Private Equity and Workers: Modeling and Measuring Monopsony, Implicit Contracts, and Efficient Reallocation
By: Kyle Herkenhoff, Josh Lerner, Gordon M. Phillips, Francisca Rebelo and Benjamin Sampson
We measure the real effects of private equity buyouts on worker outcomes by building a new
database that links transactions to matched employer-employee data in the United States. To
guide our empirical analysis, we derive testable implications from three theories in... View Details
Herkenhoff, Kyle, Josh Lerner, Gordon M. Phillips, Francisca Rebelo, and Benjamin Sampson. "Private Equity and Workers: Modeling and Measuring Monopsony, Implicit Contracts, and Efficient Reallocation." Harvard Business School Working Paper, No. 25-046, March 2025. (Revised June 2025.)
- 2025
- Working Paper
Dynamic Personalization with Multiple Customer Signals: Multi-Response State Representation in Reinforcement Learning
Reinforcement learning (RL) offers potential for optimizing sequences of customer interactions by modeling the relationships
between customer states, company actions, and long-term value. However, its practical implementation often faces significant
challenges.... View Details
Keywords: Dynamic Policy; Deep Reinforcement Learning; Representation Learning; Dynamic Difficulty Adjustment; Latent Variable Models; Customer Relationship Management; Customer Value and Value Chain; Foreign Direct Investment; Analytics and Data Science
Ma, Liangzong, Ta-Wei Huang, Eva Ascarza, and Ayelet Israeli. "Dynamic Personalization with Multiple Customer Signals: Multi-Response State Representation in Reinforcement Learning." Harvard Business School Working Paper, No. 25-037, February 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.
- January 2025
- Case
Apax Partners: Deciding Whether to Bid for Trader Corp.
By: Benjamin C. Esty and Edward A. Meyer
Apax Partners’ investment committee was scheduled to meet on March 21, 2011, to decide whether to invest in Trader Corporation, a Canadian classified advertising business for used automobiles with both print (magazines) and digital (website) distribution. What made... View Details
Keywords: Value Creation; Network Effects; Private Equity; Growth Management; Digital Marketing; Business Strategy; Competitive Advantage; E-commerce; Valuation; Competition; Digital Platforms; Digital Strategy; Digital Transformation; Transition; Investment; Risk and Uncertainty; Advertising Industry; Auto Industry; Information Industry; Canada; United Kingdom; New York (state, US); New York (city, NY)
Esty, Benjamin C., and Edward A. Meyer. "Apax Partners: Deciding Whether to Bid for Trader Corp." Harvard Business School Case 225-032, 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.
- 2025
- Working Paper
Policy-Aware Experimentation: Strategic Sampling for Optimized Targeting Policies
By: Yi-Wen Chen, Eva Ascarza and Oded Netzer
Firms often rely on randomized experiments to estimate customer-level treatment effects for targeting policies. Standard "test-then-learn" approaches typically sample customers uniformly to optimize estimation accuracy but ignore economic objectives, leading to... View Details
Chen, Yi-Wen, Eva Ascarza, and Oded Netzer. "Policy-Aware Experimentation: Strategic Sampling for Optimized Targeting Policies." Columbia Business School Research Paper Series, No. 5044549, December 2024. (Revised June 2025.)
- Fall 2024
- Article
The Problem of Good Conduct Among Financial Advisers
By: Mark Egan, Gregor Matvos and Amit Seru
Households in the United States often rely on financial advisers for investment and savings decisions, yet there is a widespread perception that many advisers are dishonest. This distrust is not unwarranted: approximately one in fifteen advisers has a history of... View Details
Egan, Mark, Gregor Matvos, and Amit Seru. "The Problem of Good Conduct Among Financial Advisers." Journal of Economic Perspectives 38, no. 4 (Fall 2024): 193–210.
- Fall 2024
- Article
Redemption Mechanisms in Poison Pills: Evidence on Pill Design and Law Firm Effects
By: Olivier Baum and Guhan Subramanian
We present the first evidence on the incidence of “trip wire” versus “last look” poison pills. Using a hand-collected data set of 130 poison pills implemented and/or amended between January 1, 2020 and March 31, 2023, we find that pills are almost evenly divided... View Details
Baum, Olivier, and Guhan Subramanian. "Redemption Mechanisms in Poison Pills: Evidence on Pill Design and Law Firm Effects." Business Lawyer 79, no. 4 (Fall 2024): 1043–1069.