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Show Results For
- All HBS Web
(1,113)
- People (1)
- News (177)
- Research (623)
- Events (18)
- Multimedia (5)
- Faculty Publications (377)
- 07 Aug 2017
- News
New Harvard Business Analytics Program
- Spring 2016
- Article
The Billion Prices Project: Using Online Prices for Inflation Measurement and Research
By: Alberto Cavallo and Roberto Rigobon
New data-gathering techniques, often referred to as “Big Data” have the potential to improve statistics and empirical research in economics. In this paper we describe our work with online data at the Billion Prices Project at MIT and discuss key lessons for both... View Details
Keywords: Billion Prices Project; Online Scraped Data; Online Price Index; Economics; Research; Price; Analytics and Data Science
Cavallo, Alberto, and Roberto Rigobon. "The Billion Prices Project: Using Online Prices for Inflation Measurement and Research." Journal of Economic Perspectives 30, no. 2 (Spring 2016): 151–178.
- 07 Feb 2013
- News
The case for having a founder run the business
- December 1999 (Revised January 2002)
- Background Note
Overview of the Project Finance Market, An
By: Benjamin C. Esty, Suzanne I. Harris and Kathleen G. Krueger
This case introduces the field of project finance and supplies a statistical overview of the project finance market as of the mid=to late 1990s. It consists of four sections. The first section defines project finance and contrasts it with other well-known forms of... View Details
Esty, Benjamin C., Suzanne I. Harris, and Kathleen G. Krueger. "Overview of the Project Finance Market, An." Harvard Business School Background Note 200-028, December 1999. (Revised January 2002.)
- 13 Jul 2017
- News
Why we are all insurance companies
- Mar 2021
- Conference Presentation
Descent-to-Delete: Gradient-Based Methods for Machine Unlearning
By: Seth Neel, Aaron Leon Roth and Saeed Sharifi-Malvajerdi
We study the data deletion problem for convex models. By leveraging techniques from convex optimization and reservoir sampling, we give the first data deletion algorithms that are able to handle an arbitrarily long sequence of adversarial updates while promising both... View Details
Neel, Seth, Aaron Leon Roth, and Saeed Sharifi-Malvajerdi. "Descent-to-Delete: Gradient-Based Methods for Machine Unlearning." Paper presented at the 32nd Algorithmic Learning Theory Conference, March 2021.
- 2024
- Working Paper
What Is Newsworthy? Theory and Evidence
By: Luis Armona, Matthew Gentzkow, Emir Kamenica and Jesse M. Shapiro
We study newsworthiness in theory and practice. We focus on situations in which a news outlet observes the realization of a state of the world and must decide whether to report the realization to a consumer who pays an opportunity cost to consume the report. The... View Details
Armona, Luis, Matthew Gentzkow, Emir Kamenica, and Jesse M. Shapiro. "What Is Newsworthy? Theory and Evidence." NBER Working Paper Series, No. 32512, May 2024.
- March 2010
- Article
Correcting for Cross-Sectional and Time-Series Dependence in Accounting Research
By: Ian D. Gow, Daniel Taylor and Gaizka Ormazabal
We review and evaluate the methods commonly used in the accounting literature to correct for cross-sectional and time-series dependence. While much of the accounting literature studies settings in which variables are cross-sectionally and serially correlated, we find... View Details
Keywords: History; Cost of Capital; Activity Based Costing and Management; Performance Evaluation; Cost Accounting; Time Management; Research; Mathematical Methods; Equity; Borrowing and Debt; Accounting Audits; Accounting Industry
Gow, Ian D., Daniel Taylor, and Gaizka Ormazabal. "Correcting for Cross-Sectional and Time-Series Dependence in Accounting Research." Accounting Review 85, no. 2 (March 2010): 483–512.
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness
We introduce a new family of fairness definitions that interpolate between statistical and individual notions of fairness, obtaining some of the best properties of each. We show that checking whether these notions are satisfied is computationally hard in the worst... View Details
- April 2002 (Revised May 2003)
- Supplement
An Overview of Project Finance-2002 Update
By: Benjamin C. Esty and Irina L. Christov
This case introduces to the field of project finance and provides a statistical overview of the project-financed investments over the last five years. It consists of four sections. The first section defines project finance and contrasts it with other well-known... View Details
Esty, Benjamin C., and Irina L. Christov. "An Overview of Project Finance-2002 Update." Harvard Business School Supplement 202-105, April 2002. (Revised May 2003.)
- 23 Oct 2017
- News
Applications Open for Harvard Business Analytics Program
- October 2009 (Revised June 2010)
- Case
Hulu: An Evil Plot to Destroy the World?
By: Anita Elberse and Sunil Gupta
In July 2009, Jason Kilar, the chief executive officer of Hulu, is debating whether the online video aggregator should move away from a purely advertising-supported model, and whether it should participate in an industry-wide initiative to develop and test... View Details
Keywords: Advertising; Business Model; Television Entertainment; Distribution Channels; Service Operations; Internet and the Web; Media and Broadcasting Industry; Motion Pictures and Video Industry
Elberse, Anita, and Sunil Gupta. "Hulu: An Evil Plot to Destroy the World?" Harvard Business School Case 510-005, October 2009. (Revised June 2010.)
- Research Summary
Time-Varying Volatility Risk Premia
This paper provides evidence for the existence of time-varying volatility risk premia. In doing so, it examines the evolution of the implied volatility bias in the S&P 100 from 1986-2006. Additionally, the paper proves three new results regarding the limiting... View Details
- 05 Jun 2017
- News
5 Takeaways For The C-Suite From 2016's Vote Prediction Debacles
- 2023
- Working Paper
Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation
By: Dae Woong Ham, Michael Lindon, Martin Tingley and Iavor Bojinov
Randomized experiments have become the standard method for companies to evaluate the performance of new products or services. In addition to augmenting managers’ decision-making, experimentation mitigates risk by limiting the proportion of customers exposed to... View Details
Keywords: Performance Evaluation; Research and Development; Analytics and Data Science; Consumer Behavior
Ham, Dae Woong, Michael Lindon, Martin Tingley, and Iavor Bojinov. "Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation." Harvard Business School Working Paper, No. 23-070, May 2023.
- October–December 2022
- Article
How Psychological Safety and Feeling Heard Relate to Burnout and Adaptation Amid Uncertainty
By: Michaela J. Kerrissey, Tuna Cem Hayirli, Aditi Bhanja, Nicholas Stark, James Hardy and Christopher Peabody
Background: Psychological safety—the belief that it is safe to speak up—is vital amid uncertainty, but its relationship to feeling heard is not well understood.
Purpose: The aims of this study were (a) to measure feeling heard and (b) to assess... View Details
Purpose: The aims of this study were (a) to measure feeling heard and (b) to assess... View Details
Keywords: Burnout; Crisis; Psychological Safety; Feeling Heard; Process Adaptation; Interpersonal Communication; Well-being; Health Care and Treatment; Adaptation
Kerrissey, Michaela J., Tuna Cem Hayirli, Aditi Bhanja, Nicholas Stark, James Hardy, and Christopher Peabody. "How Psychological Safety and Feeling Heard Relate to Burnout and Adaptation Amid Uncertainty." Health Care Management Review 47, no. 4 (October–December 2022): 308–316.
- 2022
- Article
Data Poisoning Attacks on Off-Policy Evaluation Methods
By: Elita Lobo, Harvineet Singh, Marek Petrik, Cynthia Rudin and Himabindu Lakkaraju
Off-policy Evaluation (OPE) methods are a crucial tool for evaluating policies in high-stakes domains such as healthcare, where exploration is often infeasible, unethical, or expensive. However, the extent to which such methods can be trusted under adversarial threats... View Details
Lobo, Elita, Harvineet Singh, Marek Petrik, Cynthia Rudin, and Himabindu Lakkaraju. "Data Poisoning Attacks on Off-Policy Evaluation Methods." Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI) 38th (2022): 1264–1274.