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  • 2024
  • Working Paper

Residential Battery Storage - Reshaping the Way We Do Electricity
By: Christian Kaps and Serguei Netessine
In this paper, we aim to understand when private households invest in behind-the-meter battery storage next to rooftop solar and how those batteries impact households, the electricity market, and emissions. We answer three main research questions: 1) When do customers...  View Details
Keywords: Solar Power; Energy Storage; Technology And Innovation Management; Energy; Energy Policy; Renewable Energy; Technological Innovation; Innovation and Management; Energy Industry
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  • July 2023
  • Article

Design and Analysis of Switchback Experiments
By: Iavor I Bojinov, David Simchi-Levi and Jinglong Zhao
In switchback experiments, a firm sequentially exposes an experimental unit to a random treatment, measures its response, and repeats the procedure for several periods to determine which treatment leads to the best outcome. Although practitioners have widely adopted...  View Details
Keywords: Switchback Experiments; Design; Analysis; Mathematical Methods
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  • 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
Keywords: Decisions; Complexity; Perception; Consumer Behavior; Production
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  • April–June 2022
  • Other Article

Commentary on 'Causal Decision Making and Causal Effect Estimation Are Not the Same... and Why It Matters'
By: Edward McFowland III
There has been a substantial discussion in various methodological and applied literatures around causal inference; especially in the use of machine learning and statistical models to understand heterogeneity in treatment effects and to make optimal decision...  View Details
Keywords: Causal Inference; Treatment Effect Estimation; Treatment Assignment Policy; Human-in-the-loop; Decision Making; Fairness
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  • 2020
  • Working Paper

Targeting for Long-Term Outcomes
By: Jeremy Yang, Dean Eckles, Paramveer Dhillon and Sinan Aral
Decision makers often want to target interventions so as to maximize an outcome that is observed only in the long term. This typically requires delaying decisions until the outcome is observed or relying on simple short-term proxies for the long-term outcome. Here we...  View Details
Keywords: Targeted Marketing; Optimization; Churn Management; Marketing; Customer Relationship Management; Policy; Learning; Outcome or Result
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  • 2020
  • Working Paper

Design and Analysis of Switchback Experiments
By: Iavor I Bojinov, David Simchi-Levi and Jinglong Zhao
In switchback experiments, a firm sequentially exposes an experimental unit to a random treatment, measures its response, and repeats the procedure for several periods to determine which treatment leads to the best outcome. Although practitioners have widely adopted...  View Details
Keywords: Switchback Experiments; Design; Analysis; Mathematical Methods
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  • June 2020
  • Article

Understanding Different Approaches to Benefit-Based Taxation
By: Robert Scherf and Matthew C. Weinzierl
The normative principle of benefit-based taxation has exerted substantial influence on many areas of public finance, but it has been largely set aside in the modern theoretical approach to optimal income taxation, where welfarist objectives dominate. A prerequisite for...  View Details
Keywords: Benefit-based Taxation; Public Goods; Lindahl; Optimal Taxation; Taxation
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  • Article

The Role of Interactivity in Local Differential Privacy
By: Matthew Joseph, Jieming Mao, Seth Neel and Aaron Leon Roth
We study the power of interactivity in local differential privacy. First, we focus on the difference between fully interactive and sequentially interactive protocols. Sequentially interactive protocols may query users adaptively in sequence, but they cannot return to...  View Details
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  • October 2019 (Revised February 2023)
  • Case

Gupta Media: Performance Marketing in the Digital Age
By: V. Kasturi Rangan and Courtney Han
Gupta Media is a Digital Marketing firm started in 2005 that places advertisements and marketing promotions for its clients in digital media, mainly social media such as Facebook and Google. Over the years it had built its expertise in promoting music labels, artists...  View Details
Keywords: Marketing; Digital Marketing; Performance; Measurement and Metrics; Social Media; Advertising Industry
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  • August 2019
  • Article

When and How to Diversify—A Multicategory Utility Model for Personalized Content Recommendation
By: Yicheng Song, Nachiketa Sahoo and Elie Ofek
Sometimes we desire change, a break from the same or an opportunity to fulfill different aspects of our needs. Noting that consumers seek variety, several approaches have been developed to diversify items recommended by personalized recommender systems. However,...  View Details
Keywords: Recommender Systems; Personalization; Recommendation Diversity; Variety Seeking; Collaborative Filtering; Consumer Utility Models; Digital Media; Clickstream Analysis; Learning-to-rank; Consumer Behavior; Media; Customization and Personalization; Strategy; Mathematical Methods
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  • 2019
  • Article

Time-Driven Activity-Based Cost Analysis for Outpatient Anticoagulation Therapy: Direct Costs in a Primary Care Setting with Optimal Performance
By: Robert S. Kaplan, Rohit A. Bobade, Richard A. Helmers, Thomas M. Jaeger, Laura J. Odell and Derek A. Haas
Objectives: To determine how overall cost of anticoagulation therapy for warfarin compares with that of Novel Oral Anticoagulants (NOACs). Also, to demonstrate a scientific, comprehensive, and an analytical approach to estimate direct costs involved in monitoring and...  View Details
Keywords: Time-Driven Activity-Based Costing; Activity Based Costing and Management; Health Care and Treatment; Analysis
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  • 2019
  • Working Paper

Understanding Different Approaches to Benefit-Based Taxation
By: Robert Scherf and Matthew C. Weinzierl
The normative principle of benefit-based taxation has exerted substantial influence on many areas of public finance, but it has been largely set aside in the modern theoretical approach to optimal income taxation, where welfarist objectives dominate. A prerequisite for...  View Details
Keywords: Benefit-based Taxation; Taxation; Theory
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  • 2019
  • Working Paper

Large-Scale Demand Estimation with Search Data
By: Tomomichi Amano, Andrew Rhodes and Stephan Seiler
In many online markets, traditional methods of demand estimation are difficult to implement because assortments are very large and individual products are sold infrequently. At the same time, data on consumer search (i.e., browsing) behavior are often available and are...  View Details
Keywords: High-dimensional Data; Demand Estimation; Consideration Sets; Consumer Search
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  • February 2018
  • Article

Retention Futility: Targeting High-Risk Customers Might Be Ineffective.
By: Eva Ascarza
Companies in a variety of sectors are increasingly managing customer churn proactively, generally by detecting customers at the highest risk of churning and targeting retention efforts towards them. While there is a vast literature on developing churn prediction models...  View Details
Keywords: Retention/churn; Proactive Churn Management; Field Experiments; Heterogeneous Treatment Effect; Machine Learning; Customer Relationship Management; Risk Management
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  • Article

Mitigating Bias in Adaptive Data Gathering via Differential Privacy
By: Seth Neel and Aaron Leon Roth
Data that is gathered adaptively—via bandit algorithms, for example—exhibits bias. This is true both when gathering simple numeric valued data—the empirical means kept track of by stochastic bandit algorithms are biased downwards—and when gathering more complicated...  View Details
Keywords: Bandit Algorithms; Bias; Analytics and Data Science; Mathematical Methods; Theory
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  • Article

Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness
By: Michael J Kearns, Seth Neel, Aaron Leon Roth and Zhiwei Steven Wu
The most prevalent notions of fairness in machine learning are statistical definitions: they fix a small collection of pre-defined groups, and then ask for parity of some statistic of the classifier (like classification rate or false positive rate) across these groups....  View Details
Keywords: Machine Learning; Algorithms; Fairness; Mathematical Methods
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  • May 2017
  • Article

Experimental Evidence of Pooling Outcomes Under Information Asymmetry
By: William Schmidt and Ryan W. Buell
Operational decisions under information asymmetry can signal a firm's prospects to less-informed parties, such as investors, customers, competitors, and regulators. Consequently, managers in these settings often face a tradeoff between making an optimal decision and...  View Details
Keywords: Behavioral Decision Research; Information Asymmetry; Signaling; Decision Choices and Conditions; Alignment
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  • 2013
  • Dissertation

Designing Freemium: A Model of Consumer Usage, Upgrade, and Referral Dynamics
By: Clarence Lee, Vineet Kumar and Sunil Gupta
Abstract. Over the past decade "freemium" (free + premium) has become the dominant business model among internet start-ups for its ability to acquire and monetize a large install-base with limited marketing resources. Freemium is a hybrid strategy where a firm offers...  View Details
Keywords: Discrete-Continuous Choice Dynamic Structural Models; Bayesian Estimation; Word-of-Mouth; Digital Services; Freemium; Entrepreneurship; Business Model; Motivation and Incentives; Marketing Strategy; Internet and the Web; Consumer Behavior; Marketing Reference Programs; Business Startups
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  • January–February 2012
  • Article

Do You Need a New Product-Development Strategy?
By: Alan MacCormack, W. Crandall, P. Toft and P. Henderson
Many firms rely on a single new-product development process for all projects. But designing new products for different business contexts requires that a firm deploy different new-product development processes. Products designed for stable and mature end-user markets...  View Details
Keywords: Strategy; Product Development
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  • Article

Optimal Value and Growth Tilts in Long-Horizon Portfolios
By: Jakub W. Jurek and Luis M. Viceira
We develop an analytical solution to the dynamic portfolio choice problem of an investor with power utility defined over wealth at a finite horizon, who faces a time-varying investment opportunity set, parameterized using a flexible vector autoregression. We apply this...  View Details
Keywords: Decision Choices and Conditions; Private Equity; Investment; Investment Portfolio; Asset Pricing; Value
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