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  • March 2022
  • Case

In Data We Trust: Be Mobile Africa and Furthering Financial Inclusion Across the African Continent

By: Lauren Cohen, Grace Headinger and Pierre Marchesseault
To Cédric Jeannot, leveraging technology to promote financial inclusion was personal. After no established financial institution would accept his technology platform to lower transaction costs for free, Jeannot launched FinTech company Be Mobile Africa in May 2020.... View Details
Keywords: Finance; Fintech; Emerging Market; Fundraising; Financial Inclusion; Strategy; Expansion; Management; Entrepreneurship; Personal Finance; Corporate Social Responsibility and Impact; Growth and Development Strategy; Financial Services Industry; Banking Industry; Africa; Togo; Nigeria; Ghana
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Cohen, Lauren, Grace Headinger, and Pierre Marchesseault. "In Data We Trust: Be Mobile Africa and Furthering Financial Inclusion Across the African Continent." Harvard Business School Case 222-073, March 2022.
  • Article

Consistent Covariance Matrix Estimation with Cross-Sectional Dependence and Heteroskedasticity in Cross-Sectional Financial Data

By: K. A. Froot
Keywords: Econometrics; Panel Estimation; Autocorrelation; Heteroskedasticity; Mathematical Methods; Economics
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Froot, K. A. "Consistent Covariance Matrix Estimation with Cross-Sectional Dependence and Heteroskedasticity in Cross-Sectional Financial Data." Journal of Financial and Quantitative Analysis 24, no. 3 (September 1989): 333–355. (Revised from NBER Technical Working Paper No. 62.)
  • June 2021
  • Article

Developing a Value Framework: Utilizing Administrative Data to Assess an Enhanced Care Initiative

By: Casey J. Allen, Jarrod S. Eska, Nikhil G. Thaker, Thomas W. Feeley, Robert S. Kaplan, Ryan W. Huey, Ching-Wei D. Tzeng, Jeffrey E. Lee, Steven J. Frank, Thomas A. Aloia, Vijaya Gottumukkala and Matthew H.G. Katz
We used national administrative data to assess multiple domains of value associated with enhanced recovery pathways for patients undergoing pancreatic surgery. Value metrics included in-hospital mortality, complication rates, length of stay (LOS), 30-day readmission... View Details
Keywords: Value-based Health Care; Health Care and Treatment; Analytics and Data Science; Outcome or Result; Measurement and Metrics; Performance Improvement
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Allen, Casey J., Jarrod S. Eska, Nikhil G. Thaker, Thomas W. Feeley, Robert S. Kaplan, Ryan W. Huey, Ching-Wei D. Tzeng, Jeffrey E. Lee, Steven J. Frank, Thomas A. Aloia, Vijaya Gottumukkala, and Matthew H.G. Katz. "Developing a Value Framework: Utilizing Administrative Data to Assess an Enhanced Care Initiative." Journal of Surgical Research 262 (June 2021): 115–120.
  • 11 Oct 2018
  • Cold Call Podcast

Baseball’s Billy Beane Shows Companies the Power of Data

Keywords: Re: Srikant M. Datar; Entertainment & Recreation
  • March 2013
  • Teaching Note

Big Data at IBM: What to Do About Hadoop? (TN) (A) and (B)

By: Willy Shih
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Shih, Willy. "Big Data at IBM: What to Do About Hadoop? (TN) (A) and (B)." Harvard Business School Teaching Note 613-060, March 2013.
  • May–June 2015
  • Article

Big Data: Big Deal or Big Hype?

By: Sunil Gupta
Google Flu Trends article of November 2008 heralded a new age for big data where it is possible to leverage the vast amount of data to speak for itself, without theory or expert knowledge of the subject matter. However, in a short span the pendulum swung from big data... View Details
Keywords: Big Data; Analytics and Data Science; Management Practices and Processes
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Gupta, Sunil. "Big Data: Big Deal or Big Hype?" European Business Review (May–June 2015).
  • August 1984 (Revised May 1992)
  • Case

MCI Telecommunications Corp. (C): Data Communications Market Opportunity Assessment

By: John F. Cady and Frank V. Cespedes
Keywords: Market Entry and Exit; Communication Technology; Telecommunications Industry
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Cady, John F., and Frank V. Cespedes. "MCI Telecommunications Corp. (C): Data Communications Market Opportunity Assessment." Harvard Business School Case 585-097, August 1984. (Revised May 1992.)
  • December 1996 (Revised August 1998)
  • Teaching Note

General Mills, Inc.: Appendix of Comparable Company Data TN

By: William E. Fruhan Jr.
Teaching Note for (9-197-037). View Details
Keywords: Food and Beverage Industry
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Fruhan, William E., Jr. "General Mills, Inc.: Appendix of Comparable Company Data TN." Harvard Business School Teaching Note 297-062, December 1996. (Revised August 1998.)
  • September 2010
  • Article

Do Inventory and Gross Margin Data Improve Sales Forecasts for U.S. Public Retailers?

By: Saravanan Kesavan, Vishal Gaur and Ananth Raman
Firm-level sales forecasts for retailers can be improved if we incorporate cost of goods sold, inventory, and gross margin (defined here as the ratio of sales to cost of goods sold) as three endogenous variables. We construct a simultaneous equations model, estimated... View Details
Keywords: Sales; Forecasting and Prediction; Distribution; Goods and Commodities; Cost; Public Sector; Profit; Mathematical Methods; Analytics and Data Science; Retail Industry; United States
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Kesavan, Saravanan, Vishal Gaur, and Ananth Raman. "Do Inventory and Gross Margin Data Improve Sales Forecasts for U.S. Public Retailers?" Management Science 56, no. 9 (September 2010): 1519–1533.
  • December 1987
  • Article

A Stochastic Three-Way Unfolding Model for Asymmetric Binary Data

By: Wayne S. DeSarbo, Donald R. Lehmann, Morris B. Holbrook, William J. Havlena and Sunil Gupta
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DeSarbo, Wayne S., Donald R. Lehmann, Morris B. Holbrook, William J. Havlena, and Sunil Gupta. "A Stochastic Three-Way Unfolding Model for Asymmetric Binary Data." Applied Psychological Measurement 11 (December 1987): 397–418.
  • Article

The Internal Economics of the Firm: Evidence from Personnel Data

By: George P. Baker, Michael Gibbs and Bengt Holmstrom
Keywords: Economics; Business Ventures
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Baker, George P., Michael Gibbs, and Bengt Holmstrom. "The Internal Economics of the Firm: Evidence from Personnel Data." Quarterly Journal of Economics 109, no. 4 (November 1994).
  • 22 Feb 2024
  • Research & Ideas

How to Make AI 'Forget' All the Private Data It Shouldn't Have

training for various reasons.” Rachel Layne: What is machine “unlearning” and why is it important? Seth Neel: Before defining machine unlearning, maybe it's good to set a baseline of what machine learning... View Details
Keywords: by Rachel Layne; Technology; Information Technology
  • 2011
  • Chapter

Between Global and Local: The Invention of Data Privacy in the United States and France

By: J. Gunnar Trumbull
Keywords: Social Issues; Knowledge Management; Information Management; Rights; United States; France
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Trumbull, J. Gunnar. "Between Global and Local: The Invention of Data Privacy in the United States and France." In The Voice of the Citizen Consumer: A History of Market Research, Consumer Movements, and the Political Public Sphere, edited by Kerstin Bruckweh. Oxford: Oxford University Press, 2011.
  • 2010
  • Conference Paper

Knowledge Creation in Multinationals and Return Migration of Inventors: Evidence from Micro Data

By: Prithwiraj Choudhury
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Choudhury, Prithwiraj. "Knowledge Creation in Multinationals and Return Migration of Inventors: Evidence from Micro Data." 2010. (Academy of Management Annual Conference 2010, Best Papers Proceedings.)
  • February 2021
  • Tutorial

T-tests: Theory and Practice

By: Michael Parzen, Natalie Epstein, Chiara Farronato and Michael Toffel
This video provides an introduction to hypothesis testing, sampling, t-tests, and p-values. It provides examples of A/B testing and t-testing to assess whether difference between two groups are statistically significant. This video can be assigned in conjunction with... View Details
Keywords: Data Analysis; Data Analytics; Experiment Design; Experimentation; Analytics and Data Science; Analysis
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Parzen, Michael, Natalie Epstein, Chiara Farronato, and Michael Toffel. T-tests: Theory and Practice. Harvard Business School Tutorial 621-707, February 2021.
  • August 2001
  • Article

Technology as a Complex Adaptive System: Evidence from Patent Data

Keywords: Information Technology; System; Patents; Analytics and Data Science
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Fleming, L., and O. Sorenson. "Technology as a Complex Adaptive System: Evidence from Patent Data." Research Policy 30, no. 7 (August 2001).
  • Article

Ensembles of Overfit and Overconfident Forecasts

By: Y. Grushka-Cockayne, V.R.R. Jose and K. C. Lichtendahl
Firms today average forecasts collected from multiple experts and models. Because of cognitive biases, strategic incentives, or the structure of machine-learning algorithms, these forecasts are often overfit to sample data and are overconfident. Little is known about... View Details
Keywords: Decision Analysis; Data Science; Forecasting and Prediction; Data and Data Sets
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Grushka-Cockayne, Y., V.R.R. Jose, and K. C. Lichtendahl. "Ensembles of Overfit and Overconfident Forecasts." Management Science 63, no. 4 (April 2017): 1110–1130.
  • January 1995
  • Article

Learning in Extensive-Form Games: Experimental Data and Simple Dynamic Models in the Intermediate Term

By: A. E. Roth and I. Erev
Keywords: Learning; Data and Data Sets
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Roth, A. E., and I. Erev. "Learning in Extensive-Form Games: Experimental Data and Simple Dynamic Models in the Intermediate Term." Special Issue on Nobel Symposium. Games and Economic Behavior 8 (January 1995): 164–212.
  • February 2021
  • Tutorial

Getting Started in RStudio Cloud

By: Chiara Farronato and Caleb Kwon
This video provides an introduction to the free programming language R using an online cloud version of RStudio, which is the most popular editor and interface for writing and executing R code. The video begins by providing a brief background of R and RStudio and... View Details
Keywords: Data Analysis; Data Analytics; Experiment; Experimental Design; Analytics and Data Science; Analysis; Applications and Software
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Farronato, Chiara, and Caleb Kwon. Getting Started in RStudio Cloud. Harvard Business School Tutorial 621-708, February 2021.
  • September 1987
  • Article

Short-term and Long-term Expectations of the Yen/Dollar Exchange Rate: Evidence from Survey Data

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; Japan; United States
Citation
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Frankel, J., and K. A. Froot. "Short-term and Long-term Expectations of the Yen/Dollar Exchange Rate: Evidence from Survey Data." Journal of the Japanese and International Economies 1 (September 1987): 249–274. (Revised from NBER Working Paper No. 2216, April 1987.)
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