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- All HBS Web
(270)
- News (78)
- Research (165)
- Events (4)
- Multimedia (1)
- Faculty Publications (23)
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- March 2020
- Article
Diagnosing Missing Always at Random in Multivariate Data
By: Iavor I. Bojinov, Natesh S. Pillai and Donald B. Rubin
Models for analyzing multivariate data sets with missing values require strong, often assessable, assumptions. The most common of these is that the mechanism that created the missing data is ignorable—a twofold assumption dependent on the mode of inference. The first... View Details
Keywords: Missing Data; Diagnostic Tools; Sensitivity Analysis; Hypothesis Testing; Missing At Random; Row Exchangeability; Analytics and Data Science; Mathematical Methods
Bojinov, Iavor I., Natesh S. Pillai, and Donald B. Rubin. "Diagnosing Missing Always at Random in Multivariate Data." Biometrika 107, no. 1 (March 2020): 246–253.
- 30 Dec 2021
- News
The Missing Data in the Inflation Debate
- 02 Apr 2020
- News
What policy makers are missing from coronavirus — data
- August 2021
- Article
Multiple Imputation Using Gaussian Copulas
By: F.M. Hollenbach, I. Bojinov, S. Minhas, N.W. Metternich, M.D. Ward and A. Volfovsky
Missing observations are pervasive throughout empirical research, especially in the social sciences. Despite multiple approaches to dealing adequately with missing data, many scholars still fail to address this vital issue. In this paper, we present a simple-to-use... View Details
Hollenbach, F.M., I. Bojinov, S. Minhas, N.W. Metternich, M.D. Ward, and A. Volfovsky. "Multiple Imputation Using Gaussian Copulas." Special Issue on New Quantitative Approaches to Studying Social Inequality. Sociological Methods & Research 50, no. 3 (August 2021): 1259–1283. (0049124118799381.)
- January 2025
- Case
Untapped Global: Financing Africa's Missing Middle
By: Raymond Kluender and Emanuele Colonnelli
In November 2024, Jim Chu, founder and CEO of Untapped Global, faced mounting internal tensions over the company’s strategic direction. Untapped had developed a data-driven revenue-based financing (RBF) model to address the “missing middle” problem—the $5.2 trillion... View Details
Keywords: Social Entrepreneurship; Venture Capital; Working Capital; Private Equity; Financial Strategy; Microfinance; International Finance; Currency Exchange Rate; Profit Sharing; Revenue; Developing Countries and Economies; Economic Growth; Emerging Markets; Mission and Purpose; Small Business; Entrepreneurial Finance; Banking Industry; Financial Services Industry; Information Technology Industry; Technology Industry; Africa; Nigeria; South Africa; Kenya; Uganda; California; San Francisco
Kluender, Raymond, and Emanuele Colonnelli. "Untapped Global: Financing Africa's Missing Middle." Harvard Business School Case 825-056, January 2025.
- 20 Apr 2021
- Working Paper Summaries
Cognitive Biases: Mistakes or Missing Stakes?
- 2019
- White Paper
Impact-Weighted Financial Accounts: The Missing Piece for an Impact Economy
By: George Serafeim, T. Robert Zochowski and Jennifer Downing
Reimagining capitalism is an imperative. We need to create a more inclusive and sustainable form of capitalism that works for every person and the planet. Massive environmental damage, growing income and wealth disparity, stress, and depression within developed... View Details
Keywords: Impact-Weighted Accounts; IWAI; Background; Economic Systems; Economy; Corporate Social Responsibility and Impact; Measurement and Metrics; Financial Statements
Serafeim, George, T. Robert Zochowski, and Jennifer Downing. "Impact-Weighted Financial Accounts: The Missing Piece for an Impact Economy." White Paper, Harvard Business School, Boston, MA, September 2019.
- Web
Data Practices - Research Computing Services
Scraping Power Analysis Causal Inference Missing Data Other Data Resources Data Repositories Harvard Dataverse at IQSS Baker Library Databases... View Details
- 18 Jun 2024
- Research & Ideas
Central Banks Missed Inflation Red Flags. This Pricing Model Could Help.
doctoral student at the University of Chicago. The ‘state’ of the price gap matters Economists generally use two main data models to detect inflation and predict the pace at which retailers raise prices: time dependent and state... View Details
- 2014
- Working Paper
The Unfairness Trap: A Key Missing Factor in the Economic Theory of Discrimination
By: Jordan I. Siegel, Naomi Kodama and Hanna Halaburda
Prior evidence linking increased female representation in management to corporate performance has been surprisingly mixed, due in part to data limitations and methodological difficulties, and possibly to omission of a fairness factor in the economic theory of... View Details
Siegel, Jordan I., Naomi Kodama, and Hanna Halaburda. "The Unfairness Trap: A Key Missing Factor in the Economic Theory of Discrimination." Harvard Business School Working Paper, No. 13-082, March 2013. (Revised January 2014, June 2014.)
- Web
Data Tips & Toolkits - Research Computing Services
Fellegi-Sunter probabilistic record linkage model that allows for missing data and the inclusion of auxiliary information: https://cran.r-project.org/web/packages/fastLink/index.html . Machine Learning R... View Details
- 09 May 2024
- Research & Ideas
Called Back to the Office? How You Benefit from Ideas You Didn't Know You Were Missing
classrooms, labs, dining halls, and elsewhere on campuses have a unique influence on the course of scientific research, according to the study, coauthored by Eamon Duede, a postdoctoral fellow at the Digital Data Design Institute at... View Details
Keywords: by Ben Rand
- 27 Feb 2023
- Research & Ideas
How One Late Employee Can Hurt Your Business: Data from 25 Million Timecards
authors reach their conclusions by correlating the timesheet records to a host of other data points, including daily store sales, scheduling practices, store traffic, and weather. In conducting their analyses, the researchers created a... View Details
- 06 Apr 2022
- News
How to Use Correlation to Make Predictions
- Teaching Interest
Empirical Technology and Operations Management Course
I taught a set of lectures on "Introduction to Machine Learning for Social Scientists" as part of this required course for first year PhD students. This module familiarizes students with all the basic concepts in machine learning, their implementations, as well as the... View Details
Michael I. Parzen
Michael Parzen is a Senior Lecturer in the Technology and Operations Management unit at Harvard Business School. He is an applied statistician with extensive experience in data science education and currently teaches Applied Business Analytics as an MBA elective... View Details
- 24 Aug 2020
- News
Now We Know How COVID-19 Has Changed the Workday
- 16 Jan 2019
- News
What is the true cost of caregiving on the workforce?
- September 2015
- Article
Design and Implementation of a Privacy Preserving Electronic Health Record Linkage Tool in Chicago
By: Abel Kho, John Cashy, Kathryn Jackson, Adam Pah, Satyender Goel, Jorn Boehnke, John Eric Humphries, Scott Duke Kominers and et al.
Objective
To design and implement a tool that creates a secure, privacy preserving linkage of electronic health record (EHR) data across multiple sites in a large metropolitan area in the United States (Chicago, IL), for use in clinical... View Details
To design and implement a tool that creates a secure, privacy preserving linkage of electronic health record (EHR) data across multiple sites in a large metropolitan area in the United States (Chicago, IL), for use in clinical... View Details
Keywords: Information; Customers; Safety; Rights; Ethics; Entrepreneurship; Health Care and Treatment; Health Industry; Chicago
Kho, Abel, John Cashy, Kathryn Jackson, Adam Pah, Satyender Goel, Jorn Boehnke, John Eric Humphries, Scott Duke Kominers, and et al. "Design and Implementation of a Privacy Preserving Electronic Health Record Linkage Tool in Chicago." Journal of the American Medical Informatics Association 22, no. 5 (September 2015): 1072–1080.