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  • Forthcoming
  • Article

Slowly Varying Regression Under Sparsity

By: Dimitris Bertsimas, Vassilis Digalakis Jr, Michael Lingzhi Li and Omar Skali Lami
We consider the problem of parameter estimation in slowly varying regression models with sparsity constraints. We formulate the problem as a mixed integer optimization problem and demonstrate that it can be reformulated exactly as a binary convex optimization problem... View Details
Keywords: Mathematical Methods; Analytics and Data Science
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  • Web

Negotiation, Organizations & Markets - Faculty & Research

successful, and the company had amassed promising data on the impact of ElliQ, the AI companion they had created to alleviate loneliness and social isolation among older adults. Now Intuition Robotics leadership had to decide whether to... View Details
  • Web

Privacy Notice | About

privacy settings chosen by individual alumni participants. Data in the alumni directory include but are not limited to: contact information, employment history, interests, and education history and are intended to facilitate inter-alumni... View Details
  • 26 Sep 2023
  • Book

Digital Strategy: A Handbook for Managing a Moving Target

faster decisions. Big data analytics also allow businesses to improve their operations and efficiency, explore other new waves of big data use opportunities, and eventually... View Details
Keywords: by Dina Gerdeman; Information Technology; Technology
  • 07 Mar 2016
  • HBS Seminar

Scott Stern, MIT Sloan School of Management

  • 15 Feb 2022
  • Book

When Working Harder Doesn’t Work, Time to Reinvent Your Career

Lawyers, financial professionals, doctors—these types of workers often expect their abilities to remain steady or grow with time. But Brooks points to data showing that’s not the case. In almost every high-skill profession, he finds,... View Details
Keywords: by Avery Forman
  • 2024
  • Working Paper

Anytime-Valid Inference in Linear Models and Regression-Adjusted Causal Inference

By: Michael Lindon, Dae Woong Ham, Martin Tingley and Iavor I. Bojinov
Linear regression adjustment is commonly used to analyze randomized controlled experiments due to its efficiency and robustness against model misspecification. Current testing and interval estimation procedures leverage the asymptotic distribution of such estimators to... View Details
Keywords: Mathematical Methods; Analytics and Data Science
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  • 01 Sep 2023
  • News

The Exchange: Where Ethics Meet Economics

Max Bazerman and Mike Luca (Image by John Ritter) What makes people behave the way they do—and to what degree are design choices influencing that? Associate Professor Mike Luca studies the design of online platforms, while Professor Max Bazerman’s work focuses on... View Details
Keywords: Jen McFarland Flint; Data Processing, Hosting, and Related Services; Information
  • 2012
  • Chapter

Mental Health in the Aftermath of Conflict

By: Quy-Toan Do and Lakshmi Iyer
We survey the recent literature on the mental health effects of conflict. We highlight the methodological challenges faced in this literature, which include the lack of validated mental health scales in a survey context, the difficulties in measuring individual... View Details
Keywords: Conflict of Interests; Measurement and Metrics; Surveys; Analytics and Data Science; Ethnicity; War; Health Disorders; Body of Literature; Problems and Challenges; Bosnia and Hercegovina
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  • April 2025
  • Article

Skill Dependencies Uncover Nested Human Capital

By: Moh Hosseinioun, Frank Neffke, Letian Zhang and Hyejin Youn
Modern economies require increasingly diverse and specialized skills, many of which depend on the acquisition of other skills first. Here we analyse US survey data to reveal a nested structure within skill portfolios, where the direction of dependency is inferred... View Details
Keywords: Competency and Skills; Human Capital; Personal Development and Career; Equality and Inequality; Analytics and Data Science
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  • 26 Oct 2010
  • First Look

First Look: October 26, 2010

many "multicultural marketing" efforts are both limited and limiting, and how firms can go beyond demographic data to craft effective strategies for selling to ethnic markets within the U.S. Read the Paper: View Details
Keywords: Sean Silverthorne
  • 18 Dec 2007
  • First Look

First Look: December 18, 2007

  Working PapersHappiness, Contentment and Other Emotions for Central Banks Authors:Rafael Di Tella and Robert MacCulloch Abstract We show that data on satisfaction with life from over 600,000 Europeans are negatively correlated with the... View Details
Keywords: Martha Lagace
  • 28 Nov 2018
  • HBS Case

On Target: Rethinking the Retail Website

Target was awash in customer data from these online sales, but to make sense of it, the company needed to bring in the right people. Paritosh Desai joined Target in August 2013 as vice president of business intelligence, analytics, and... View Details
Keywords: by Dina Gerdeman; Retail
  • Web

Profiles - MBA

interest: Cloud, AI and ML, Digital health, Data science Formative experience at the intersection of technology and business: This past academic year, I worked with the Harvard Data View Details
  • 20 Nov 2012
  • First Look

First Look: November 20

in concentration levels in the U.S. Advertising and Marketing Services industry using data from the U.S. Census Bureau's quinquennial Economic Census and the Service Annual Survey. These data, heretofore largely ignored, allow us to... View Details
Keywords: Sean Silverthorne
  • September 2023 (Revised December 2023)
  • Case

TetraScience: Noise and Signal

By: Thomas R. Eisenmann and Tom Quinn
In 2019, TetraScience CEO “Spin” Wang needed advice. Five years earlier, he had cofounded a startup that saw early success with a hardware product designed to help laboratory scientists in the biotechnology and pharmaceutical spaces more easily collect data from... View Details
Keywords: Entrepreneurship; Business Growth and Maturation; Business Organization; Restructuring; Forecasting and Prediction; Digital Platforms; Analytics and Data Science; AI and Machine Learning; Organizational Structure; Network Effects; Competitive Strategy; Biotechnology Industry; Pharmaceutical Industry; United States; Boston
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  • June 2020
  • Background Note

Customer Management Dynamics and Cohort Analysis

By: Elie Ofek, Barak Libai and Eitan Muller
The digital revolution has allowed companies to amass considerable amounts of data on their customers. Using this information to generate actionable insights is fast becoming a critical skill that firms must master if they wish to effectively compete and win in today’s... View Details
Keywords: Cohort Analysis; Customers; Analytics and Data Science; Segmentation; Analysis; Customer Value and Value Chain
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  • 2010
  • Working Paper

The Unbundling of Advertising Agency Services: An Economic Analysis

By: Mohammad Arzaghi, Ernst R. Berndt, James C. Davis and Alvin J. Silk
We address a longstanding puzzle surrounding the unbundling of services occurring over several decades in the U.S. advertising agency industry: What accounts for the shift from bundling to unbundling of services and the slow pace of change? Using Evans and Salinger's... View Details
Keywords: Advertising; Change; Forecasting and Prediction; Cost; Price; Analytics and Data Science; Surveys; Marketing Strategy; Media; Service Operations; Agency Theory; Mathematical Methods; Advertising Industry; United States
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  • Web

Online Business Courses & Certifications | HBS Online

Managers, and Financial Accounting with a final exam. 10-17 weeks, 8-15 hrs/week Apply by June 9 $2,650 Credential Business Analytics Professor Janice Hammond Unlock actionable insights by mastering data... View Details
  • 29 Sep 2014
  • Research & Ideas

Why Do Outlet Stores Exist?

that companies are capturing more data on customers than ever before—recording not only demographic information, but also details on every product purchase they make. "So much attention is being put on retail View Details
Keywords: by Michael Blanding; Apparel & Accessories; Fashion; Retail