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- 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.
- November 2024
- Case
Ather Energy: The Future of Mobility
By: Shunyuan Zhang, Kannan Srinivasan and Malini Sen
Ather Energy, India’s third-largest electric scooter maker by volume, was founded in 2013. Five years later, the start-up launched its first electric scooter, Ather 450, which was powered by artificial intelligence (AI) and the Internet of Things (IoT), to navigate... View Details
Keywords: Energy Policy; Climate Change; Alternative Energy; Corporate Entrepreneurship; Transportation; Transformation; Green Technology; Technology Adoption; Communication Strategy; Marketing Strategy; Customer Focus and Relationships; Asia; India
Zhang, Shunyuan, Kannan Srinivasan, and Malini Sen. "Ather Energy: The Future of Mobility." Harvard Business School Case 525-040, November 2024.
- 2024
- Working Paper
The Consequences of Export Controls in Target Countries
By: Xueyue Liu, Yu Liu and Jaya Y. Wen
Export controls are a common instrument of national security, but their economic consequences
are not well understood. This paper evaluates how these controls affect firm performance
and adaptation in targeted countries. We use variation in a 2007 US policy,... View Details
Keywords: National Security; Trade; Business and Government Relations; Policy; Performance Productivity; Adaptation
Liu, Xueyue, Yu Liu, and Jaya Y. Wen. "The Consequences of Export Controls in Target Countries." Harvard Business School Working Paper, No. 25-004, August 2024.
- August 2024
- Article
The Labor Market Effects of Loan Guarantee Programs
By: Jean-Noël Barrot, Thorsten Martin, Julien Sauvagnat and Boris Vallée
We investigate the labor market effects of a loan guarantee program targeting French SMEs during the financial crisis. Exploiting differences in regional treatment intensity in a border discontinuity design, we uncover a central trade-off for such interventions. While... View Details
Barrot, Jean-Noël, Thorsten Martin, Julien Sauvagnat, and Boris Vallée. "The Labor Market Effects of Loan Guarantee Programs." Review of Financial Studies 37, no. 8 (August 2024): 2315–2354.
- July–August 2024
- Article
Doing More with Less: Overcoming Ineffective Long-Term Targeting Using Short-Term Signals
By: Ta-Wei Huang and Eva Ascarza
Firms are increasingly interested in developing targeted interventions for customers with the best response,
which requires identifying differences in customer sensitivity, typically through the conditional average treatment
effect (CATE) estimation. In theory, to... View Details
Keywords: Long-run Targeting; Heterogeneous Treatment Effect; Statistical Surrogacy; Customer Churn; Field Experiments; Consumer Behavior; Customer Focus and Relationships; AI and Machine Learning; Marketing Strategy
Huang, Ta-Wei, and Eva Ascarza. "Doing More with Less: Overcoming Ineffective Long-Term Targeting Using Short-Term Signals." Marketing Science 43, no. 4 (July–August 2024): 863–884.
- 2024
- Working Paper
Personalization and Targeting: How to Experiment, Learn & Optimize
By: Aurelie Lemmens, Jason M.T. Roos, Sebastian Gabel, Eva Ascarza, Hernan Bruno, Elea McDonnell Feit, Brett Gordon, Ayelet Israeli, Carl F. Mela and Oded Netzer
Personalization has become the heartbeat of modern marketing. Advances in causal inference and machine learning enable companies to understand how the same marketing action can impact the choices of individual customers differently. This article provides an academic... View Details
Keywords: Personalization; Targeting; Experiments; Observational Studies; Policy Implementation; Policy Evaluation; Customization and Personalization; Marketing Strategy; AI and Machine Learning
Lemmens, Aurelie, Jason M.T. Roos, Sebastian Gabel, Eva Ascarza, Hernan Bruno, Elea McDonnell Feit, Brett Gordon, Ayelet Israeli, Carl F. Mela, and Oded Netzer. "Personalization and Targeting: How to Experiment, Learn & Optimize." Working Paper, June 2024.
- March 2024
- Article
When Are Social Protests Effective?
By: Eric Shuman, Amit Goldenberg, Tamar Saguy, Eran Halperin and Martijn van Zomeren
Around the world, people engage in social protests aimed at addressing major societal problems. Certain protests have led to significant progress, yet other protests have resulted in little demonstrable change. We introduce a framework for evaluating the effectiveness... View Details
Keywords: Protests; Social Issues; Outcome or Result; Measurement and Metrics; Power and Influence; Motivation and Incentives
Shuman, Eric, Amit Goldenberg, Tamar Saguy, Eran Halperin, and Martijn van Zomeren. "When Are Social Protests Effective?" Trends in Cognitive Sciences 28, no. 3 (March 2024): 252–263.
- February 9, 2024
- Article
Addressing Climate Change with Behavioral Science: A Global Intervention Tournament in 63 Countries
By: Madalina Vlasceanu, Kimberly C. Doell, Joseph B. Bak-Coleman, Boryana Todorova, Michael M. Berkebile-Weinberg, Amit Goldenberg, Eric Shuman and et al.
Effectively reducing climate change requires marked, global behavior change. However, it is unclear which strategies are most likely to motivate people to change their climate beliefs and behaviors. Here, we tested 11 expert-crowdsourced interventions on four climate... View Details
Keywords: Climate Change; Motivation and Incentives; Behavior; Policy; Knowledge Sharing; Values and Beliefs
Vlasceanu, Madalina, Kimberly C. Doell, Joseph B. Bak-Coleman, Boryana Todorova, Michael M. Berkebile-Weinberg, Amit Goldenberg, Eric Shuman, and et al. "Addressing Climate Change with Behavioral Science: A Global Intervention Tournament in 63 Countries." Science Advances 10, no. 6 (February 9, 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.
- November 2023 (Revised February 2025)
- Background Note
Corporate Climate Targets
By: Willy C. Shih, Michael W. Toffel and Kelsey Carter
Companies that are addressing climate change by mitigating their greenhouse gas emissions often set reduction targets. This note describes several types of widely used carbon reduction targets, including carbon neutral, science based, net zero, real zero, and carbon... View Details
Keywords: Corporate Sustainability; Environmental Strategy; Climate Risk; Target-setting; Climate Change; Environmental Sustainability; Corporate Accountability; Policy; Measurement and Metrics; Strategic Planning; Social Issues; Corporate Social Responsibility and Impact
Shih, Willy C., Michael W. Toffel, and Kelsey Carter. "Corporate Climate Targets." Harvard Business School Background Note 624-041, November 2023. (Revised February 2025.)
- October 2023 (Revised February 2024)
- Technical Note
Design and Evaluation of Targeted Interventions
By: Eva Ascarza and Ta-Wei (David) Huang
Targeted interventions serve as a pivotal tool in business strategy, streamlining decisions for enhanced efficiency and effectiveness. This note delves into two central facets of such interventions: first, the design of potent decision guidelines, or targeting... View Details
Keywords: Marketing; Customer Relationship Management; Analysis; Design; Business Strategy; Retail Industry; Apparel and Accessories Industry; Technology Industry; Financial Services Industry; Telecommunications Industry
Ascarza, Eva, and Ta-Wei (David) Huang. "Design and Evaluation of Targeted Interventions." Harvard Business School Technical Note 524-034, October 2023. (Revised February 2024.)
- September 2023
- Supplement
Design and Evaluation of Targeted Interventions
By: Eva Ascarza
Targeted interventions serve as a pivotal tool in business strategy, streamlining decisions for enhanced efficiency and effectiveness. This note delves into two central facets of such interventions: first, the design of potent decision guidelines, or targeting... View Details
- September–October 2023
- Article
The New Era of Industrial Policy Is Here
By: Willy C. Shih
Governments around the world are increasingly intervening in the private sector through industrial policies designed to help domestic sectors reach goals that markets alone are unlikely to achieve. Companies in targeted sectors—such as automakers, energy companies, and... View Details
Keywords: Policy; Government and Politics; Business and Government Relations; Research and Development; Economic Sectors
Shih, Willy C. "The New Era of Industrial Policy Is Here." Harvard Business Review 101, no. 5 (September–October 2023): 66–75.
- June 2023
- Simulation
Artea Dashboard and Targeting Policy Evaluation
By: Ayelet Israeli and Eva Ascarza
Companies deploy A/B experiments to gain valuable insights about their customers in order to answer strategic business problems. In marketing, A/B tests are often used to evaluate marketing interventions intended to generate incremental outcomes for the firm. The Artea... View Details
Keywords: Algorithm Bias; Algorithmic Data; Race And Ethnicity; Experimentation; Promotion; Marketing And Society; Big Data; Privacy; Data-driven Management; Data Analysis; Data Analytics; E-Commerce Strategy; Discrimination; Targeted Advertising; Targeted Policies; Pricing Algorithms; A/B Testing; Ethical Decision Making; Customer Base Analysis; Customer Heterogeneity; Coupons; Marketing; Race; Gender; Diversity; Customer Relationship Management; Marketing Communications; Advertising; Decision Making; Ethics; E-commerce; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; United States
- July 2023
- Article
Political Strategies for Climate and Environmental Solutions
By: Jonas Meckling and Valerie Karplus
Many of the barriers to progress in addressing environmental problems, such as climate change, are political. We argue that politics should not be seen only as a constraint but be recognized as a target of intervention to advance environmental solutions. We use the... View Details
Meckling, Jonas, and Valerie Karplus. "Political Strategies for Climate and Environmental Solutions." Nature Sustainability 6, no. 7 (July 2023): 742–751.
- 2023
- Working Paper
Crowding in Private Quality: The Equilibrium Effects of Public Spending in Education
By: Tahir Andrabi, Natalie Bau, Jishnu Das, Asim Ijaz Khwaja and Naureen Karachiwalla
We estimate the equilibrium effects of a public-school grant program administered through school councils in Pakistani villages with multiple public and private schools and clearly defined catchment boundaries. The program was randomized at the village-level, allowing... View Details
Andrabi, Tahir, Natalie Bau, Jishnu Das, Asim Ijaz Khwaja, and Naureen Karachiwalla. "Crowding in Private Quality: The Equilibrium Effects of Public Spending in Education." NBER Working Paper Series, No. 30929, February 2023.
- 2023
- Working Paper
Life After Death: A Field Experiment with Small Businesses on Information Frictions, Stigma, and Bankruptcy
By: Shai Benjamin Bernstein, Emanuele Colonnelli, Mitchell Hoffman and Benjamin Iverson
In a randomized control trial (RCT) with U.S. small businesses, we document that a large share of firms are not well-informed about bankruptcy. Many assume that bankruptcy necessarily entails the death of a business and do not know about Chapter 11 bankruptcy, where... View Details
Bernstein, Shai Benjamin, Emanuele Colonnelli, Mitchell Hoffman, and Benjamin Iverson. "Life After Death: A Field Experiment with Small Businesses on Information Frictions, Stigma, and Bankruptcy." NBER Working Paper Series, No. 30933, 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.
- 2022
- Working Paper
Regulatory Incentives for Innovation: The FDA's Breakthrough Therapy Designation
By: Amitabh Chandra, Jennifer Kao, Kathleen Miller and Ariel D. Stern
Regulators of new products confront a tradeoff between speeding a new product to market and collecting additional product quality information. The FDA’s Breakthrough Therapy Designation (BTD) provides an opportunity to understand if a regulator can use new policy to... View Details
Chandra, Amitabh, Jennifer Kao, Kathleen Miller, and Ariel D. Stern. "Regulatory Incentives for Innovation: The FDA's Breakthrough Therapy Designation." NBER Working Paper Series, No. 30712, December 2022.
- 2022
- Working Paper
Distributional Consequences of Monetary Policy Across Races: Evidence from the U.S. Credit Register
By: Laura Alfaro, Ester Faia and Camelia Minoiu
We examine the consequences of monetary policy on racial disparities, focusing on the role of bank lending to firms through collateral and selection channels. Leveraging comprehensive loan-level data from the U.S. credit register (Y-14Q) of the Federal Reserve, we show... View Details
Keywords: Monetary Policy Transmission; Inequity; Credit Registry; Wealth; Collateral Channel; Selection; Racial Disparity; Racial Inequality; Equality and Inequality; Banks and Banking; Credit; Governing Rules, Regulations, and Reforms; Banking Industry; United States
Alfaro, Laura, Ester Faia, and Camelia Minoiu. "Distributional Consequences of Monetary Policy Across Races: Evidence from the U.S. Credit Register." Harvard Business School Working Paper, No. 22-068, April 2022.