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Show Results For
- All HBS Web
(1,132)
- People (1)
- News (177)
- Research (619)
- Events (18)
- Multimedia (5)
- Faculty Publications (376)
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- September 1974 (Revised April 1975)
- Case
Ocean Spray Cranberries, Inc. (A)
At the conclusion of a small-scale pilot survey, management must decide whether to invest in a larger survey or terminate the project. The objective of the study is to use psychographic measurement techniques to study the alternative positions of cranberry sauce.... View Details
Keywords: Surveys; Product Positioning; Mathematical Methods; Agriculture and Agribusiness Industry; Food and Beverage Industry
DeBruicker, F., and Jan-Erik Modig. "Ocean Spray Cranberries, Inc. (A)." Harvard Business School Case 575-039, September 1974. (Revised April 1975.)
- 2018
- Working Paper
The State of Open Source Server Software
By: Shane Greenstein and Klaus Ackermann
The study assembles new data to construct a census of worldwide web server use across the globe. We document a large concentration of investment in the United States, and a wide dispersion across scores of countries. We find tens of billions of dollars of unmeasured... View Details
Keywords: Internet; Open Source; Internet and the Web; Policy; Open Source Distribution; Internet and the Web; Global Range
Greenstein, Shane, and Klaus Ackermann. "The State of Open Source Server Software." Working Paper, September 2018.
- January 2018 (Revised February 2018)
- Technical Note
The Scope of Business at the Base of the Pyramid: Poverty in the U.S. and Other OECD Countries
By: V. Kasturi Rangan and Tricia Gregg
Using data from U.S. Census and OECD, this note defines poverty as those populations who fall below 50% of that country’s median per capita income. It then provides a brief statistical tour of six key challenges facing such populations: Income and Jobs, Healthcare,... View Details
Rangan, V. Kasturi, and Tricia Gregg. "The Scope of Business at the Base of the Pyramid: Poverty in the U.S. and Other OECD Countries." Harvard Business School Technical Note 518-037, January 2018. (Revised February 2018.)
- January 1982 (Revised December 1997)
- Background Note
Note on the New Deal: From the First to the Second ""Hundred Days""
A brief summary of Franklin D. Roosevelt's New Deal policies between 1933 and 1935. Contains three statistical tables that supplement Selected U.S. Statistics: Part I and Selected U.S. Statistics: Part II. View Details
McCraw, Thomas K. Note on the New Deal: From the First to the Second ""Hundred Days"". Harvard Business School Background Note 382-115, January 1982. (Revised December 1997.)
- 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
Bojinov, Iavor, and Guillaume Basse. "A General Theory of Identification." Harvard Business School Working Paper, No. 20-086, February 2020.
- February 2021
- Tutorial
What is AI?
By: Tsedal Neeley
This video explores the elements that constitute artificial intelligence (AI). From its mathematical basis to current advances in AI, this video introduces students to data, tools, and statistical models that make a computer 'intelligent.' Through an explanation of... View Details
- Article
De Gustibus non est Taxandum: Heterogeneity in Preferences and Optimal Redistribution
By: Benjamin B Lockwood and Matthew Weinzierl
The prominent but unproven intuition that preference heterogeneity reduces redistribution in a standard optimal tax model is shown to hold under the plausible condition that the distribution of preferences for consumption relative to leisure rises, in terms of... View Details
Keywords: Motivation and Incentives; Income; Decision Choices and Conditions; Consumer Behavior; Taxation; Microeconomics; Macroeconomics
Lockwood, Benjamin B., and Matthew Weinzierl. "De Gustibus non est Taxandum: Heterogeneity in Preferences and Optimal Redistribution." Journal of Public Economics 124 (April 2015): 74–80. (Also NBER Working Paper Series, No. 17784, September 2014 and Harvard Business School Working Paper, No. 12-063, January 2012.)
- 2024
- Working Paper
Incorporating Micro Data into Differentiated Products Demand Estimation with PyBLP
We delineate a general framework for incorporating many types of micro data from summary statistics to full surveys of selected consumers into Berry, Levinsohn, and Pakes (1995) style estimates of differentiated products demand systems. We extend recommended practices... View Details
Conlon, Chris, and Jeff Gortmaker. "Incorporating Micro Data into Differentiated Products Demand Estimation with PyBLP." Working Paper, September 2024.
- January 1996 (Revised April 1997)
- Case
Deutsche Allgemeinversicherung
Describes the application of statistical process control in a service industry. In this case, Annette Kluck must decide how to adopt manufacturing-based principles to a service process ranging from customer account setup to legal services. View Details
Upton, David M. "Deutsche Allgemeinversicherung." Harvard Business School Case 696-084, January 1996. (Revised April 1997.)
- November 1989 (Revised June 1991)
- Background Note
Facts and Figures on Defense Procurement: The Department of Defense and Defense Procurement, An Overview
By: Robert L. Simons
Provides statistics and other factual information on the Department of Defense procurement process, DOD expenditures, market share segmentation, the variety of contract types, and the role of the Defense Contract Audit Agency. View Details
Keywords: National Security
Simons, Robert L. "Facts and Figures on Defense Procurement: The Department of Defense and Defense Procurement, An Overview." Harvard Business School Background Note 190-060, November 1989. (Revised June 1991.)
- Article
Beyond Statistics: The Economic Content of Risk Scores
By: Liran Einav, Amy Finkelstein, Raymond Kluender and Paul Schrimpf
"Big data" and statistical techniques to score potential transactions have transformed insurance and credit markets. In this paper, we observe that these widely-used statistical scores summarize a much richer heterogeneity, and may be endogenous to the context in which... View Details
Einav, Liran, Amy Finkelstein, Raymond Kluender, and Paul Schrimpf. "Beyond Statistics: The Economic Content of Risk Scores." American Economic Journal: Applied Economics 8, no. 2 (April 2016): 195–224.
- September 2017 (Revised July 2023)
- Case
Adaptive Platform Trials: The Clinical Trial of the Future?
By: Ariel D. Stern and Sarah Mehta
In July 2017, Dr. Brian M. Alexander, president and CEO of the AGILE Research Foundation, was preparing to launch a new type of clinical trial—an adaptive platform trial—to study potential therapies for glioblastoma (GBM), an aggressive form of brain cancer.... View Details
Keywords: Clinical Trials; Cancer; Adaptive Platform Trials; Platform Trials; Adaptive Trials; Glioblastoma; Health; Health Care and Treatment; Health Testing and Trials; Business Strategy; Innovation Strategy; Health Industry; United States
Stern, Ariel D., and Sarah Mehta. "Adaptive Platform Trials: The Clinical Trial of the Future?" Harvard Business School Case 618-025, September 2017. (Revised July 2023.)
- July 2013
- Teaching Note
Google's Project Oxygen: Do Managers Matter?
By: David A. Garvin
Google's Project Oxygen started with a fundamental question raised by executives in the early 2000s: do managers matter? The topic generated a multi-year research project that ultimately led to a comprehensive program, built around eight key management attributes,... View Details
- 20 Aug 2020
- Working Paper Summaries
Best Ideas
- Article
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness
By: Michael J Kearns, Seth Neel, Aaron Leon Roth and Zhiwei Steven Wu
The most prevalent notions of fairness in machine learning are statistical definitions: they fix a small collection of pre-defined groups, and then ask for parity of some statistic of the classifier (like classification rate or false positive rate) across these groups.... View Details
Kearns, Michael J., Seth Neel, Aaron Leon Roth, and Zhiwei Steven Wu. "Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness." Proceedings of the International Conference on Machine Learning (ICML) 35th (2018).
- 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
Lindon, Michael, Dae Woong Ham, Martin Tingley, and Iavor I. Bojinov. "Anytime-Valid Inference in Linear Models and Regression-Adjusted Causal Inference." Harvard Business School Working Paper, No. 24-060, March 2024.
- April 2005 (Revised April 2005)
- Background Note
An Overview of Project Finance - 2004 Update
By: Benjamin C. Esty and Aldo Sesia
Introduces the field of project finance and provides a statistical overview of the project-financed investments over the last five years. Defines project finance and contrasts it with other well-known financing structures. Describes the evolution of project finance,... View Details
Esty, Benjamin C., and Aldo Sesia. "An Overview of Project Finance - 2004 Update." Harvard Business School Background Note 205-065, April 2005. (Revised April 2005.)
- Teaching Interest
Leading with People Analytics; HBS MBA Elective; 2021
- Teaching fellow for course on using data science to make decisions about people, such as hiring, firing, promotion, team composition, etc.
- Led weekly student review sessions teaching statistics and the R... View Details
- Article
Risk and the Cross-Section of Stock Returns
By: Mark Seasholes, Radu Burlacu, Patrice Fontaine and Sonia Jimenez-Garces
This paper mathematically transforms unobservable rational expectation equilibrium model parameters (information precision and supply uncertainty) into a single variable that is correlated with expected returns and that can be estimated with recently observed data. Our... View Details
Keywords: Risk Premiums; Cross-sectional Asset Pricing; REE Models; Risk and Uncertainty; Asset Pricing; Investment Return
Seasholes, Mark, Radu Burlacu, Patrice Fontaine, and Sonia Jimenez-Garces. "Risk and the Cross-Section of Stock Returns." Journal of Financial Economics 105, no. 3 (September 2012): 511–522.
- March 2002
- Case
Women and Power: Stories From Around the Globe
By: Kathleen L. McGinn, Alexis Lefort and Nicole Nasser
This case uses vignettes and statistics of the broader issue discussed in each vignette to explore some of the ways in which gender is played out in the struggle for power and control. Disenfranchised groups--those not allowed access to critical resources--have little... View Details
McGinn, Kathleen L., Alexis Lefort, and Nicole Nasser. "Women and Power: Stories From Around the Globe." Harvard Business School Case 902-203, March 2002.