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All HBS Web
(287)
- News (69)
- Research (149)
- Events (1)
- Multimedia (1)
- Faculty Publications (19)
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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...
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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...
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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.)
- 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...
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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
Learning Fuzzy Matching Natural Language Processing Web Scraping Power Analysis Causal Inference Missing Data Database Best Practices Before you start building your database, consider your goals, carefully...
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- 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...
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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
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 Caret package,...
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- Web
Data Science for Managers 2 - Course Catalog
HBS Course Catalog Data Science for Managers 2 Course Number 2125 Senior Lecturer Michael Parzen Fall; Q2; 1.5 credits14 Sessions (split between hands-on lab sessions and case discussion sessions)Final Team ProjectQualifies for Management...
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- Web
Data Science for Managers 1 - Course Catalog
any data science business problem. Emphasis will be put on communication, rigor in analysis, ethical reporting of results and dealing with messy issues such as missing data, nonresponse of participants and...
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- 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...
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- 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...
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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
- 16 Jan 2019
- News
What is the true cost of caregiving on the workforce?
- 24 Aug 2020
- News
Now We Know How COVID-19 Has Changed the Workday
- 10 Apr 2013
- Research & Ideas
Learning Curve: Making the Most of Outsourcing
Companies that outsource merely to shuffle off commodity work to save costs might be missing important opportunities to work with vendors and significantly improve the final product. "When it comes to the outsourcing of many complex...
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The Magic That Makes Customer Experiences Stick
The field of customer experience (CX) design — which aims to ensure that customers have positive touch points with companies while buying and consuming their products and services — has grown quickly in recent years. Research has shown that memorable experiences,... View Details