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Show Results For
-
All HBS Web
(1,701)
- People (9)
- News (315)
- Research (1,021)
- Events (12)
- Multimedia (10)
- Faculty Publications (834)
- 2022
- Article
Towards Robust Off-Policy Evaluation via Human Inputs
By: Harvineet Singh, Shalmali Joshi, Finale Doshi-Velez and Himabindu Lakkaraju
Off-policy Evaluation (OPE) methods are crucial tools for evaluating policies in high-stakes domains such as healthcare, where direct deployment is often infeasible, unethical, or expensive. When deployment environments are expected to undergo changes (that is, dataset...
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Singh, Harvineet, Shalmali Joshi, Finale Doshi-Velez, and Himabindu Lakkaraju. "Towards Robust Off-Policy Evaluation via Human Inputs." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (2022): 686–699.
- 2021
- Working Paper
Time and the Value of Data
By: Ehsan Valavi, Joel Hestness, Newsha Ardalani and Marco Iansiti
Managers often believe that collecting more data will continually improve the accuracy of their machine learning models. However, we argue in this paper that when data lose relevance over time, it may be optimal to collect a limited amount of recent data instead of... View Details
Keywords:
Economics Of AI;
Machine Learning;
Non-stationarity;
Perishability;
Value Depreciation;
Analytics and Data Science;
Value
Valavi, Ehsan, Joel Hestness, Newsha Ardalani, and Marco Iansiti. "Time and the Value of Data." Harvard Business School Working Paper, No. 21-016, August 2020. (Revised November 2021.)
- 2020
- Working Paper
Machine Learning for Pattern Discovery in Management Research
Supervised machine learning (ML) methods are a powerful toolkit for discovering robust patterns in quantitative data. The patterns identified by ML could be used as an observation for further inductive or abductive research, but should not be treated as the result of a...
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Keywords:
Machine Learning;
Theory Building;
Induction;
Decision Trees;
Random Forests;
K-nearest Neighbors;
Neural Network;
P-hacking;
Analytics and Data Science;
Analysis
Choudhury, Prithwiraj, Ryan Allen, and Michael G. Endres. "Machine Learning for Pattern Discovery in Management Research." Harvard Business School Working Paper, No. 19-032, September 2018. (Revised June 2020.)
- December 2016 (Revised December 2020)
- Course Overview Note
Big Data in Marketing
By: John Deighton and Mike Horia Teodorescu
Deighton, John, and Mike Horia Teodorescu. "Big Data in Marketing." Harvard Business School Course Overview Note 517-077, December 2016. (Revised December 2020.)
- March 1987
- Article
Using Survey Data to Test Standard Propositions Regarding Exchange Rate Expectations
By: J. Frankel and K. A. Froot
Keywords:
Currencies;
Exchange Rates;
Asset Pricing;
International Macroeconomics;
Monetary Policy;
Currency Controls;
Fixed Exchange Rates;
Floating Exchange Rates;
Currency Bands;
Currency Zones;
Currency Areas;
Rational Expectations;
Analytics and Data Science;
Finance
Frankel, J., and K. A. Froot. "Using Survey Data to Test Standard Propositions Regarding Exchange Rate Expectations." American Economic Review 77, no. 1 (March 1987): 133–153. (Revised from NBER Working Paper No. 1672.)
- February 1985 (Revised August 1985)
- Supplement
Computervision-Japan (C)
Presents sales data for 1983 and 1984.
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Moriarty, Rowland T., Jr. "Computervision-Japan (C)." Harvard Business School Supplement 585-157, February 1985. (Revised August 1985.)
- 06 Dec 2021
- News
HBS Curricula Explore the Complexities of Innovation
of data management and analytics also led HBS to introduce Data Science for Managers, a new Required Curriculum elective for first-year MBA students. Then in their second year, they can choose from a range of data science courses (see...
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Keywords:
Jennifer Gillespie
- Fast Answer
Real Estate Prices by City
How to find office & residential rental prices by major city worldwide. You may begin with: Moody’s Analytics CRE - Search millions of real estate data points that cover every commercially zoned property in the U.S....
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- 01 Jun 2010
- News
The MBA at a Crossroads
criticized business schools for serving up largely vocational training lacking in the analytical rigor deemed necessary to lay claim to academic respectability. Spurred on by the reports, business schools forged an View Details
- 01 Sep 2005
- News
Faculty Research Online
You Outsource Your Marketing? Few companies own all the marketing expertise they need, especially of the left-brain, analytic variety. Professor of Management Practice Gail McGovern outlines the pros and cons of turning over your...
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- February 2021
- Technical Note
Probability Distributions
By: Michael Parzen and Paul Hamilton
This technical note introduces students to the concept of random variables, and from there the normal and binomial distributions. After a brief introduction to random variables, the note describes the standard properties of the normal distribution: a single peak, and a...
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Parzen, Michael, and Paul Hamilton. "Probability Distributions." Harvard Business School Technical Note 621-704, February 2021.
- 2017
- Chapter
Venture Capital Data: Opportunities and Challenges
By: Steven N. Kaplan and Josh Lerner
This paper describes the available data and research on venture capital investments and performance. We comment on the challenges inherent in those data and research as well as possible opportunities to do better.
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Kaplan, Steven N., and Josh Lerner. "Venture Capital Data: Opportunities and Challenges." Chap. 10 in Measuring Entrepreneurial Businesses: Current Knowledge and Challenges. Vol. 75, edited by John Haltiwanger, Erik Hurst, Javier Miranda, and Antoinette Schoar. Studies in Income and Wealth (NBER). Chicago: University of Chicago Press, 2017.
- February 1994
- Background Note
Causal Inference
Discusses what causation is and what one can (and cannot) learn about causation from observational (nonexperimental) data.
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Schleifer, Arthur, Jr. "Causal Inference." Harvard Business School Background Note 894-032, February 1994.
- 09 Sep 2016
- News
Marla Malcolm Beck’s Path to CEO
tackle any process in any organization.” The article frames Malcolm Beck’s professional journey not as an accumulation of diverse skills, but as a focus on a few unique ones. [S]he didn’t become chief executive by getting loads of experience across functions. Rather,...
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- 08 May 2015
- News
Ubiquitous digital connectivity is now essential to competitiveness
its “industrial Internet,” an open global network of machines, data, and people that provides analytics and designs solutions to optimize its customers’ complex operations. “The paradigm is not displacement and replacement,” says Iansiti,...
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- 2019
- Article
History, Micro Data, and Endogenous Growth
By: Ufuk Akcigit and Tom Nicholas
The study of economic growth is concerned with long-run changes, and therefore, historical data should be especially influential in informing the development of new theories. In this review, we draw on the recent literature to highlight areas in which study of history...
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Keywords:
Economic Development;
Growth;
Innovation;
Economic Growth;
History;
Analytics and Data Science;
Innovation and Invention
Akcigit, Ufuk, and Tom Nicholas. "History, Micro Data, and Endogenous Growth." Annual Review of Economics 11 (2019): 615–633.
- Article
Making Private Data Accessible in an Opaque Industry: The Experience of the Private Capital Research Institute
By: Josh Lerner and Leslie Jeng
Private markets are becoming an increasingly important way of financing rapidly growing and mature firms, and private investors are reputed to have far-reaching economic impacts. These important markets, however, are uniquely difficult to study. This paper explores...
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Lerner, Josh, and Leslie Jeng. "Making Private Data Accessible in an Opaque Industry: The Experience of the Private Capital Research Institute." American Economic Review: Papers and Proceedings 106, no. 5 (May 2016): 157–160.
- Fast Answer
Real estate finance
Where can I find analysis of developments in real estate finance? Real Capital Analytics (RCA): Records over $40 trillion in commercial property transactions tied to 200,000+ investor and lender profiles, spanning diverse property types...
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- Profile
Colt Stander
he says. “But the summer Analytics program really helped. It was a boot camp that boosted my confidence as well as my quantitative skills.” And upon reflection, design and business share similar challenges. The pathways aren’t clear,”...
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- 2019
- Article
Does Big Data Enhance Firm Innovation Competency? The Mediating Role of Data-driven Insights
By: Maryam Ghasemaghaei and Goran Calic
Grounded in gestalt insight learning theory and organizational learning theory, we collected data from 280 middle and top-level managers to investigate the impact of each big data characteristic (i.e., data volume, data velocity, data variety, and data veracity) on...
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Ghasemaghaei, Maryam, and Goran Calic. "Does Big Data Enhance Firm Innovation Competency? The Mediating Role of Data-driven Insights." Journal of Business Research 104 (2019): 69–84.