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Show Results For
- All HBS Web
(1,288)
- News (115)
- Research (1,047)
- Events (3)
- Multimedia (6)
- Faculty Publications (799)
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- November 1990 (Revised August 1996)
- Background Note
Sampling and Statistical Inference
An introduction to sampling and statistical inference that covers the main concepts (confidence intervals, tests of statistical significance, choice of sample size) that are needed in making inferences about a population mean or percent. Includes discussion of problems... View Details
Schleifer, Arthur, Jr. "Sampling and Statistical Inference." Harvard Business School Background Note 191-092, November 1990. (Revised August 1996.)
- June 1999
- Article
Projections onto Efficient Frontiers: Theoretical and Computational Extensions to DEA
By: F. Frei and P. Harker
Frei, F., and P. Harker. "Projections onto Efficient Frontiers: Theoretical and Computational Extensions to DEA." Journal of Productivity Analysis 11, no. 3 (June 1999): 275–300.
- May 1990
- Background Note
Conjoint Analysis: A Manager's Guide
By: Robert J. Dolan
Presents a non-technical description of the conjoint analysis methodology. Discusses the process by which such a study is done and cites areas of application. View Details
Dolan, Robert J. "Conjoint Analysis: A Manager's Guide." Harvard Business School Background Note 590-059, May 1990.
- 18 Sep 2019
- Working Paper Summaries
Using Models to Persuade
Keywords: by Joshua Schwartzstein and Adi Sunderam
- 08 Jun 2009
- Research & Ideas
The Return of the Salesman
in an economy like this, such as car dealerships, for instance, which have closed across the country. And, of course, customers are likely to negotiate for better terms. Q: What are you working on now? A: I'm writing a history of the beginnings of the economic View Details
- 28 Oct 2024
- Op-Ed
Latino Voters Have Grown More Politically Divided. That’s Not Surprising.
asked, if each group voted like they did in the last election, who would win the next one? “Our analysis of data combining voters’ opinions with party platforms showed that where voters lead, parties tend to follow.” It turns out that this kind of View Details
- 19 Jan 2022
- In Practice
7 Trends to Watch in 2022
As 2022 gets underway we asked our faculty to highlight some trends worth watching in the coming year. Ariel Stern: A new future for digital health care While 2020 and 2021 were years of rapid innovation and deployment of new health care technologies and delivery... View Details
Keywords: by HBS News
- 28 May 2013
- Research & Ideas
Can LEGO Snap Together a Future in Asia?
Both the managers and the students had to consider areas of potential risk for LEGO in Asia, including: Uncertainty of market growth forecasts. LEGO senior director John Kelley argues in the case that to supply the most optimistic sales View Details
- 2023
- Working Paper
Evaluation and Learning in R&D Investment
By: Alexander P. Frankel, Joshua L. Krieger, Danielle Li and Dimitris Papanikolaou
We examine the role of spillover learning in shaping the value of exploratory versus incremental
R&D. Using data from drug development, we show that novel drug candidates generate more
knowledge spillovers than incremental ones. Despite being less likely to reach... View Details
Frankel, Alexander P., Joshua L. Krieger, Danielle Li, and Dimitris Papanikolaou. "Evaluation and Learning in R&D Investment." Harvard Business School Working Paper, No. 23-074, May 2023. (NBER Working Paper Series, No. 31290, May 2023.)
- October–December 2022
- Article
Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem
By: Mochen Yang, Edward McFowland III, Gordon Burtch and Gediminas Adomavicius
Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data, followed... View Details
Keywords: Machine Learning; Econometric Analysis; Instrumental Variable; Random Forest; Causal Inference; AI and Machine Learning; Forecasting and Prediction
Yang, Mochen, Edward McFowland III, Gordon Burtch, and Gediminas Adomavicius. "Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem." INFORMS Journal on Data Science 1, no. 2 (October–December 2022): 138–155.
- April 2011
- Teaching Note
Prediction Markets at Google (TN)
Teaching Note for 607088. View Details
- September 2008 (Revised September 2010)
- Exercise
Exercise on Estimation
By: Jason Riis and John T. Gourville
This exercise is meant to assess students' level of confidence around everyday business and general knowledge questions, for the purpose of identifying where they are overconfident and underconfident. View Details
Riis, Jason, and John T. Gourville. "Exercise on Estimation." Harvard Business School Exercise 509-022, September 2008. (Revised September 2010.)
- winter 1996
- Article
The Market Pricing of Cash Flow Forecasts: Discounted Cash Flow vs. the Method of Comparables
By: S. N. Kaplan and R. S. Ruback
Kaplan, S. N., and R. S. Ruback. "The Market Pricing of Cash Flow Forecasts: Discounted Cash Flow vs. the Method of Comparables." Journal of Applied Corporate Finance 8, no. 4 (winter 1996): 45–60.
- 2017
- Working Paper
Learning by Doing: The Value of Experience and the Origins of Skill for Mutual Fund Managers
By: Elisabeth Kempf, Alberto Manconi and Oliver Spalt
Learning by doing matters for professional investors. We develop a new methodology to show that mutual fund managers outperform in industries where they have obtained experience on the job. The key to our identification strategy is that we look "inside" funds and... View Details
Kempf, Elisabeth, Alberto Manconi, and Oliver Spalt. "Learning by Doing: The Value of Experience and the Origins of Skill for Mutual Fund Managers." SSRN Working Paper Series, No. 2124896, May 2017.
- 16 Oct 2018
- First Look
New Research and Ideas, October 16, 2018
methods, such as multiple-case inductive studies and traditional methods of causal inference. Download working paper: https://www.hbs.edu/faculty/Pages/item.aspx?num=55043 Quantile Forecasts of Product Life Cycles Using Exponential... View Details
Keywords: Dina Gerdeman
- 07 Jul 2009
- First Look
First Look: July 7
Missing Quarterly Analysts Forecasts (revised) Authors:Richard Mergenthaler, Shiva Rajgopal, and Suraj Srinivasan Abstract We find that missing the quarterly analyst consensus earnings forecast is associated... View Details
Keywords: Martha Lagace
- 10 May 2019
- Working Paper Summaries
Consumer Inertia and Market Power
Keywords: by Alexander MacKay and Marc Remer
- Article
Earnings Dynamics and Measurement Error in Matched Survey and Administrative Data
By: Dean Hyslop and Wilbur Townsend
This article analyzes earnings dynamics and measurement error using a matched longitudinal sample of individuals’ survey and administrative earnings. In line with previous literature, the reported differences are characterized by both persistent and transitory factors.... View Details
Keywords: Earnings Dynamics; Measurement Error; Panel Data; Validation Study; Business Earnings; Measurement and Metrics; Forecasting and Prediction
Hyslop, Dean, and Wilbur Townsend. "Earnings Dynamics and Measurement Error in Matched Survey and Administrative Data." Journal of Business & Economic Statistics 38, no. 2 (2020).
- 24 Jan 2012
- First Look
First Look: Jan. 24
Abstract We examine the effect of mandatory International Financial Reporting Standards (IFRS) adoption on firms' information environment. We find that after mandatory IFRS adoption, consensus forecast errors decrease for firms that... View Details
Keywords: Sean Silverthorne
- 08 Jul 2013
- Research & Ideas
Everything Must Go: A Strategy for Store Liquidation
generally seen at the start of a liquidation event. With the length of a store liquidation event constrained by law and various lease agreements, making the most of the time a store is open and accurately forecasting demand is another... View Details