Publications

Educators

2020
Working Paper

A General Theory of Identification

By: Iavor Bojinov and Guillaume Basse

What does it mean to say that a quantity is identifiable from the data? Statisticians seem to agree on a definition in the context of parametric statistical models — roughly, a parameter θ in a model P = {Pθ : θ ∈ Θ} is identifiable if the mapping θ 7→ Pθ is injective.... View Details

Keywords: Identification; Econometric Models; Analytics and Data Science; Theory

26 Jul 2018
News

Running the Numbers

people to buy into a new vision or better way of doing things is my favorite kind of challenge.” Today, as CEO of the Kraft Analytics Group (KAGR), a Massachusetts-based tech-intensive company focused on View Details

Keywords: Deborah Blagg

01 Sep 2015
News

Data-Driven Diligence

same way, he’d later learn through Moneyball, that baseball teams were using analytics to find undervalued players. The problem was, Coats needed data—lots of it. “I kept asking VCs and others in the industry, ‘Has anyone ever aggregated... View Details

Keywords: Francis Storrs

01 Mar 2018
News

Realizing The Potential Of One Harvard

executives—including those who already possess an MBA or advanced business degree—a foundational understanding of quantitative analysis and data science. “Data and data View Details

November 1996
Article

Localized Autocorrelation Diagnostic Statistic for Sociological Models: Times-series, Network, and Spatial Datasets

By: C. I. Nass and Y. Moon

Keywords: Society; Analytics and Data Science; Information

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2023
Working Paper

Corporate Website-based Measures of Firms' Value Drivers

By: Wei Cai, Dennis Campbell and Patrick Ferguson

We develop and validate new text-based measures of firms’ financial and non-financial value drivers. Using the Wayback Machine to access public US firms’ archived websites from 1995-2020, we scrape text from corporate homepages. We use Kaplan and Norton’s (1992)... View Details

Keywords: Value; Corporate Strategy; Accounting; Analytics and Data Science

January–February 2025
Article

The Double-Edged Sword of Exemplar Similarity

By: Majid Majzoubi, Eric Zhao, Tiona Zuzul and Greg Fisher

We investigate how a firm’s positioning relative to category exemplars shapes security analysts’ evaluations. Using a two-stage model of evaluation (initial screening and subsequent assessment), we propose that exemplar similarity enhances a firm’s recognizability and... View Details

Keywords: Natural Language Processing; Analytics and Data Science; Performance Evaluation

2023
Article

On Minimizing the Impact of Dataset Shifts on Actionable Explanations

By: Anna P. Meyer, Dan Ley, Suraj Srinivas and Himabindu Lakkaraju

The Right to Explanation is an important regulatory principle that allows individuals to request actionable explanations for algorithmic decisions. However, several technical challenges arise when providing such actionable explanations in practice. For instance, models... View Details

Keywords: Mathematical Methods; Analytics and Data Science

2023
Article

Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators

By: Benjamin Jakubowski, Siram Somanchi, Edward McFowland III and Daniel B. Neill

Regression discontinuity (RD) designs are widely used to estimate causal effects in the absence of a randomized experiment. However, standard approaches to RD analysis face two significant limitations. First, they require a priori knowledge of discontinuities in... View Details

Keywords: Regression Discontinuity Design; Analytics and Data Science; AI and Machine Learning

March 2023
Supplement

Allianz Türkiye (B): Adapting to a Changing World

By: John D. Macomber and Fares Khrais

Keywords: Insurance And Reinsurance; Natural Disasters; Turkey; Insurance; Climate Change; Analytics and Data Science; Insurance Industry; Financial Services Industry; Turkey

November 1998
Teaching Note

Working with your "Shadow Partner" TN

By: Richard L. Nolan

Teaching Note for (9-399-051). View Details

Keywords: Internet and the Web; Analytics and Data Science

May 2020
Article

Scalable Holistic Linear Regression

By: Dimitris Bertsimas and Michael Lingzhi Li

We propose a new scalable algorithm for holistic linear regression building on Bertsimas & King (2016). Specifically, we develop new theory to model significance and multicollinearity as lazy constraints rather than checking the conditions iteratively. The resulting... View Details

Keywords: Mathematical Methods; Analytics and Data Science

06 Dec 2021
News

HBS Curricula Explore the Complexities of Innovation

of data management and analytics also led HBS to introduce Data Science for Managers, a new Required Curriculum elective for first-year MBA students. Then in their second year,... View Details

Keywords: Jennifer Gillespie

February 2011
Supplement

Dataset for "MercadoLibre.com" (CW)

By: Francisco de Asis Martinez-Jerez

Datasets of listings and powersellers transactions to perform analysis for the case. View Details

Keywords: Accounting; Analytics and Data Science; Management Analysis, Tools, and Techniques

2023
Article

Benchmarking Large Language Models on CMExam—A Comprehensive Chinese Medical Exam Dataset

By: Junling Liu, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu and Michael Lingzhi Li

Recent advancements in large language models (LLMs) have transformed the field of question answering (QA). However, evaluating LLMs in the medical field is challenging due to the lack of standardized and comprehensive datasets. To address this gap, we introduce CMExam,... View Details

Keywords: Large Language Model; AI and Machine Learning; Analytics and Data Science; Health Industry

June 2023
Article

How New Ideas Diffuse in Science

By: Mengjie Cheng, Daniel Scott Smith, Xiang Ren, Hancheng Cao, Sanne Smith and Daniel A. McFarland

What conditions help new ideas spread? Can knowledge entrepreneurs’ position and develop new ideas in ways that help them take off? Most innovation research focuses on products and their reference. That focus ignores the ideas themselves and the broader ideational... View Details

Keywords: Innovation Adoption; Natural Language Processing; Knowledge; Science; Innovation and Invention; Knowledge Sharing; Analytics and Data Science

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