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- Teaching Interest
Overview
By: John F. Batter
As as Senior Lecturer I teach the EC course Law, Management and Entrepreneurship (cross-listed in the General Management and Entrepreneurial Management Units) in both the Fall and Spring semesters. While I have retired from my public and private company litigation...
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- Research Summary
Overview
By: Feng Zhu
Professor Zhu’s research focuses on the design of platform business models and its impact on platform performance. Platforms have become central to our economy. A platform is a product or service that enables two or more customer groups to interact. For example,...
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- Research Summary
Overview
My academic research centers on uncovering and closing gaps between the theory and reality of tax policy. My main contribution has been to identify and address a mismatch between the goals for taxation typically assumed in theory and the goals the public and... View Details
- Research Summary
Overview
By: Iavor I. Bojinov
Over the last decade, technology companies like Amazon, Google, and Netflix have pioneered data-driven research and development processes centered on massive experimentation. However, as companies increase the breadth and scale of their experiments to millions of...
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- Research Summary
Overview
By: Shunyuan Zhang
Professor Zhang uses machine learning to address marketing problems that have arisen within the nascent sharing economy. She conducts rigorous analyses of structured and unstructured data generated by new sharing economy platforms to address important issues emerging...
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- Research Summary
Overview
By: Jorge Tamayo
Professor Tamayo’s research focuses on theoretical modeling and structural estimation of firm decision-making and productivity.
Professor Tamayo studies dynamic competition for customer membership. Generally, firms that implement a membership model charge a... View Details
Professor Tamayo studies dynamic competition for customer membership. Generally, firms that implement a membership model charge a... View Details
- Research Summary
Overview
Engaged with field work in South Asia and East Africa, Professor Hussam places a focus on exploring questions with strong theoretical motivation in the economics literature as well as relevant downstream policy implications. Her research spans four broad interests.... View Details
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Overview
Professor Ferreira's research primarily focuses on how retailers can use algorithms to make better revenue management decisions, including pricing, product display, and assortment planning. In the retail industry, anticipating consumer demand is arguably one of the...
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- Forthcoming
- Article
Preference Externality Estimators: A Comparison of Border Approaches and IVs
By: Xi Ling, Wesley R. Hartmann and Tomomichi Amano
This paper compares two estimators—the Border Approach and an Instrumental Variable (IV) estimator—using a unified framework where identifying variation arises from “preference externalities,” following the intuition in Waldfogel (2003). We highlight two dimensions in...
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Ling, Xi, Wesley R. Hartmann, and Tomomichi Amano. "Preference Externality Estimators: A Comparison of Border Approaches and IVs." Management Science (forthcoming). (Pre-published online January 23, 2024.)
- Research Summary
Sovereign Debt as a Contingent Claim: A Quantitative Approach (joint with Fabio Kanczuk)
By: Laura Alfaro
We construct a dynamic equilibrium model with contingent service and adverse selection to quantitatively study sovereign debt. In the model, benefits of defaulting are tempered by higher future interest rates. For a wide parameter, the only equilibrium is one in which...
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- Forthcoming
- 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...
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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 (forthcoming). (Pre-published online July 8, 2024.)
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