Publications

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September 2018
Article

Aggregation of Consumer Ratings: An Application to Yelp.com

By: Weijia Dai, Ginger Jin, Jungmin Lee and Michael Luca

Because consumer reviews leverage the wisdom of the crowd, the way in which they are aggregated is a central decision faced by platforms. We explore this "rating aggregation problem" and offer a structural approach to solving it, allowing for (1) reviewers to vary in... View Details

Keywords: User Generated Content; Crowdsourcing; Yelp; Social and Collaborative Networks; Information; Internet and the Web; Learning; Mathematical Methods; E-commerce

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2021
Working Paper

How Much Should We Trust Staggered Difference-In-Differences Estimates?

By: Andrew C. Baker, David F. Larcker and Charles C.Y. Wang

Difference-in-differences analysis with staggered treatment timing is frequently used to assess the impact of policy changes on corporate outcomes in academic research. However, recent advances in econometric theory show that such designs are likely to be biased in the... View Details

Keywords: Difference In Differences; Staggered Difference-in-differences Designs; Generalized Difference-in-differences; Dynamic Treatment Effects; Mathematical Methods

SSRN

Article

How Much Should We Trust Staggered Difference-In-Differences Estimates?

By: Andrew C. Baker, David F. Larcker and Charles C.Y. Wang

We explain when and how staggered difference-in-differences regression estimators, commonly applied to assess the impact of policy changes, are biased. These biases are likely to be relevant for a large portion of research settings in finance, accounting, and law that... View Details

Keywords: Difference In Differences; Staggered Difference-in-differences Designs; Generalized Difference-in-differences; Dynamic Treatment Effects; Mathematical Methods

01 Mar 2007
News

Daniel Vasella

the test as he methodically refashioned the two old-line chemical companies with disparate corporate cultures into a single entity focused on health care and powered by an innovative approach to R&D. Today, Novartis is one of the world’s... View Details

Keywords: Roger Thompson; multinational pharmaceutical company; prescription drugs; vaccines; Medicare; generics business; Health, Social Assistance

April 2020 (Revised June 2022)
Technical Note

Quantitative Analysis in Marketing

By: Sunil Gupta

Marketing is a combination of art and science that requires both qualitative and quantitative analysis to arrive at effective decisions. This note highlights how quantitative analysis can help in the following marketing decisions: estimating market size, determining... View Details

Keywords: Quantitative Analysis; Marketing; Decision Making; Analysis

June 1984 (Revised October 1988)
Background Note

Introduction to Cases

By: Benson P. Shapiro

Introduces students and executives to the case method and provides a generalized approach to cases. View Details

Keywords: Cases

June 2002
Background Note

Convertible Securities

This case covers the general characteristics of convertible securities and briefly discusses their history, investors, issuers, and method of valuation. View Details

Keywords: Debt Securities

23 Jun 2016
Video

What is Your Best Self?

18 Mar 2022
News

Professor Robert Dolan: Engagement

October 1, 2021
Article

An Evaluation of Cross-efficiency Methods: With an Application to Warehouse Performance.

By: B.M. Balk, M.R. De Koster, Christian Kaps and J.L. Zofio

Cross-efficiency measurement is an extension of Data Envelopment Analysis that allows for tie-breaking ranking of the Decision Making Units (DMUs) using all the peer evaluations. In this article we examine the theory of cross-efficiency measurement by comparing a... View Details

Keywords: Efficiency Analysis; Performance Benchmarking; Warehousing; Analytics and Data Science; Performance Evaluation; Measurement and Metrics; Mathematical Methods

2024
Working Paper

Using LLMs for Market Research

By: James Brand, Ayelet Israeli and Donald Ngwe

Large language models (LLMs) have rapidly gained popularity as labor-augmenting tools for programming, writing, and many other processes that benefit from quick text generation. In this paper we explore the uses and benefits of LLMs for researchers and practitioners... View Details

Keywords: Large Language Model; Research; AI and Machine Learning; Analysis; Customers; Consumer Behavior; Technology Industry; Information Technology Industry

SSRN

Alexandra (Allie) Feldberg is an Assistant Professor of Business Administration in the Organizational Behavior Unit at Harvard Business School.

Professor Feldberg uses qualitative and quantitative methods to examine intersections between gender,... View Details

James W. Riley

James Riley is an Assistant Professor of Business Administration in the Organizational Behavior Unit at Harvard Business School. He teaches LEAD in the MBA required curriculum.

Professor Riley is an economic sociologist. He conducts ethnographic research to... View Details

June 2013
Article

Opting-in: Participation Bias in Economic Experiments

By: Robert Slonim, Carmen Wang, Ellen Garbarino and Danielle Merrett

Assuming individuals rationally decide whether to participate or not to participate in lab experiments, we hypothesize several non-representative biases in the characteristics of lab participants. We test the hypotheses by first collecting survey and experimental data... View Details

Keywords: Participation Bias; Laboratory Experiments; Prejudice and Bias; Research

Find at Harvard

2018
Working Paper

Semi-Parametric Estimation of Dynamic Discrete Choice Models

By: David Hao Zhang

I develop a new method for estimating counterfactuals in dynamic discrete choice models, a widely used set of models in economics, without requiring a distributional assumption on utility shocks. Applying my method to the canonical Rust (1987) setting, I find that the... View Details

Keywords: Semiparametrics; Dynamic Discrete Choice; Consumer Choice; Mathematical Methods

14 Mar 2022
Video

Professor Robert Dolan: Engagement

2019
Working Paper

Using Technology to Augment Professionals, Instead of Replacing Them, for Innovative Problem Solving

By: Hila Lifshitz - Assaf, Felicia Ng, Aniket Kittur and Robert Kraut

While in some technological and scientific areas innovation is flourishing, in others it is stalling, leaving important problems unsolved for decades. One explanation is professionals’ limitations as problem solvers, as accumulating depth of knowledge enhances one’s... View Details

Keywords: Innovation; Expertise; Future Of Work; Crowdsourcing; Artificial Intelligence; Problem Solving; Professionalism; Experience and Expertise; Collaborative Innovation and Invention; Problems and Challenges; Research and Development

January 2001
Case

Abgenix and the XenoMouse

By: Robert J. Dolan

Abgenix has a unique method for generating antibodies useful in treating a number of diseases, including cancer. In early 2000, the company's cancer has performed very well in animal testing and is moving to early stage human testing. Abgenix must decide whether to... View Details

Keywords: Product Development; Marketing Strategy; Health Testing and Trials; Risk and Uncertainty; Technological Innovation; Innovation Strategy; Science-Based Business; Biotechnology Industry