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  • All HBS Web  (1,784)
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    • News  (316)
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  • 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
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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. View Details
Keywords: Analytics and Data Science; Sales
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Moriarty, Rowland T., Jr. "Computervision-Japan (C)." Harvard Business School Supplement 585-157, February 1985. (Revised August 1985.)
  • March 2024
  • Supplement

Madrigal: Conducting a Customer-Base Audit

By: Eva Ascarza, Bruce Hardie, Peter S. Fader and Michael Ross
This case presents a scenario where Madrigal, a U.S. retailer with a rich 20-year history and a solid loyalty program, faces a turning point with the arrival of a new CEO. This leadership change reveals a critical gap in understanding the customer base, prompting an... View Details
Keywords: Customer Relationship Management; Analytics and Data Science; Growth and Development Strategy; Retail Industry; United States
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Ascarza, Eva, Bruce Hardie, Peter S. Fader, and Michael Ross. "Madrigal: Conducting a Customer-Base Audit." Harvard Business School Spreadsheet Supplement 524-706, March 2024.
  • March 2020 (Revised June 2022)
  • Case

GreenLight Fund

By: Brian Trelstad, Julia Kelley and Mel Martin
As Tara Noland, the Executive Director (ED) of GreenLight Cincinnati, reflected on her first few years on the job. Noland had delivered on what she had been hired to do in the city: work with leading philanthropists and nonprofit executives to use data and evidence to... View Details
Keywords: Philanthropy; Venture Philanthropy; Replication; Philanthropy and Charitable Giving; Venture Capital; Social Issues; Decision Making; Analytics and Data Science; Cincinnati
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Trelstad, Brian, Julia Kelley, and Mel Martin. "GreenLight Fund." Harvard Business School Case 320-053, March 2020. (Revised June 2022.)
  • 2025
  • Working Paper

Using Satellites and Phones to Evaluate and Promote Agricultural Technology Adoption: Evidence from Smallholder Farms in India

By: Shawn Cole, Grady Killeen, Tomoko Harigaya and Aparna Krishna
This paper evaluates a low-cost, customized soil nutrient management advisory service in India. As a methodological contribution, we examine whether and in which settings satellite measurements may be effective at estimating both agricultural yields and treatment... View Details
Keywords: Performance Evaluation; Technology Adoption; Measurement and Metrics; Analytics and Data Science; Agriculture and Agribusiness Industry; India
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Cole, Shawn, Grady Killeen, Tomoko Harigaya, and Aparna Krishna. "Using Satellites and Phones to Evaluate and Promote Agricultural Technology Adoption: Evidence from Smallholder Farms in India." Harvard Business School Working Paper, No. 25-035, January 2025.
  • 2022
  • Working Paper

Small Campaign Donors

By: Laurent Bouton, Julia Cagé, Edgard Dewitte and Vincent Pons
In this paper, we study the characteristics and behavior of small donors, and compare them to those of large donors. We first build a novel dataset including all the 340 million individual contributions reported to the U.S. Federal Election Commission between 2005 and... View Details
Keywords: Campaign Finance; Campaign Contributions; Small Donations; ActBlue; WinRed; TV Advertising; Political Elections; Finance; Demographics; Advertising; Analysis; Analytics and Data Science
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Bouton, Laurent, Julia Cagé, Edgard Dewitte, and Vincent Pons. "Small Campaign Donors." NBER Working Paper Series, No. 30050, May 2022.
  • Article

Uninformed Consent

By: Leslie K. John
Companies want access to more and more of your personal data—from where you are to what’s in your DNA. Can they unlock its value while respecting consumers’ privacy? View Details
Keywords: Personal Data; Privacy; Customers; Analytics and Data Science; Ethics; Governing Rules, Regulations, and Reforms
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John, Leslie K. "Uninformed Consent." Special Issue on The Big Idea: Tracked. Harvard Business Review (website) (September–October 2018).
  • winter 2003
  • Article

Massively Categorical Variables: Revealing the Information in Zip Codes

We introduce the idea of a massively categorical variable, a variable such as zip code that takes on too many values to be treated in the standard manner, and show how to use it directly as explanatory variables in an econometric model. In an application of this... View Details
Keywords: Strategy; Analytics and Data Science; Behavior; Marketing; Standards; Finance
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Steenburgh, Thomas J., Andrew Ainslie, and Peder Hans Engebretson. "Massively Categorical Variables: Revealing the Information in Zip Codes." Marketing Science 22, no. 1 (winter 2003): 40–57.
  • 2024
  • Case

EPCorp: What Story Does the Data Tell?

By: Jacob M. Cook
In EPCorp: What Story Does the Data Tell?, the Quick Case begins with Shivani Bahl researching problems with her company's website so that she can begin to analyze which option would help EPCorp most: selling all its products on Amazon or improving its own data... View Details
Keywords: Distribution Channels; E-commerce; Analytics and Data Science; Decision Making
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Cook, Jacob M. "EPCorp: What Story Does the Data Tell?" Harvard Business Publishing Case, 2024.
  • Article

Considerations of Fairness and Strategy: Experimental Data from Sequential Games

By: V. Prasnikar and A. E. Roth
Keywords: Fairness; Strategy; Analytics and Data Science; Games, Gaming, and Gambling
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Prasnikar, V., and A. E. Roth. "Considerations of Fairness and Strategy: Experimental Data from Sequential Games." Quarterly Journal of Economics 107, no. 3 (August 1992): 865–888.
  • 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.
  • 2019
  • Working Paper

Biometric Monitoring, Service Delivery and Misreporting: Evidence from Healthcare in India

By: Thomas Bossuroy, Clara Delavallade and Vincent Pons
Developing countries increasingly use biometric identification technology in hopes of improving the reliability of administrative information and delivering social services more efficiently. This paper exploits the random placement of biometric tracking devices in... View Details
Keywords: Biometric Technology; Health Care and Treatment; Technological Innovation; Analytics and Data Science; Quality; Performance Improvement; India
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Bossuroy, Thomas, Clara Delavallade, and Vincent Pons. "Biometric Monitoring, Service Delivery and Misreporting: Evidence from Healthcare in India." NBER Working Paper Series, No. 26388, October 2019. (Revise and resubmit requested, Review of Economics and Statistics.)
  • 17 Nov 2015
  • First Look

November 17, 2015

Hoffenheim: Football in the Age of Analytics In 2015, Dietmar Hopp, owner of Germany’s Bundesliga football team TSG Hoffenheim and co-founder of the global enterprise software company SAP, was considering how to ensure long-term... View Details
Keywords: Sean Silverthorne
  • October 1993 (Revised September 1994)
  • Background Note

Accounting for Productivity Growth

By: Forest L. Reinhardt
Introduces students to the arithmetic of the accounting for national productivity growth. It defines labor productivity, capital productivity, and total factor productivity, describes the relationships among them, and discusses the phenomena that cause them to change... View Details
Keywords: Performance Productivity; Macroeconomics; Analytics and Data Science; Government and Politics; Mathematical Methods; United States; Singapore
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Reinhardt, Forest L. "Accounting for Productivity Growth." Harvard Business School Background Note 794-051, October 1993. (Revised September 1994.)
  • August 2024
  • Technical Note

Introduction to Data Analysis in Python

By: Michael Parzen and Jo Ellery
This note introduces Python as a tool for data science, including the Pandas library for data analysis. View Details
Keywords: Analytics and Data Science
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Parzen, Michael, and Jo Ellery. "Introduction to Data Analysis in Python." Harvard Business School Technical Note 625-016, August 2024.
  • 2023
  • Working Paper

Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development

By: Daniel Yue, Paul Hamilton and Iavor Bojinov
Predictive model development is understudied despite its centrality in modern artificial intelligence and machine learning business applications. Although prior discussions highlight advances in methods (along the dimensions of data, computing power, and algorithms)... View Details
Keywords: Analytics and Data Science
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Yue, Daniel, Paul Hamilton, and Iavor Bojinov. "Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development." Harvard Business School Working Paper, No. 23-029, December 2022. (Revised April 2023.)
  • 2024
  • Working Paper

Scaling Core Earnings Measurement with Large Language Models

By: Matthew Shaffer and Charles CY Wang
We study the application of large language models (LLMs) to the estimation of core earnings, i.e., a firm's persistent profitability from its core business activities. This construct is central to investors' assessments of economic performance and valuations. However,... View Details
Keywords: Large Language Models; AI and Machine Learning; Accounting; Profit; Corporate Disclosure; Analytics and Data Science; Measurement and Metrics
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Shaffer, Matthew, and Charles CY Wang. "Scaling Core Earnings Measurement with Large Language Models." Working Paper, November 2024.
  • April–May 2024
  • Article

Gone with the Big Data: Institutional Lender Demand for Private Information

By: Jung Koo Kang
I explore whether big-data sources can crowd out the value of private information acquired through lending relationships. Institutional lenders have been shown to exploit their access to borrowers’ private information by trading on it in financial markets. As a shock... View Details
Keywords: Analytics and Data Science; Borrowing and Debt; Financial Markets; Value; Knowledge Dissemination; Financing and Loans
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Kang, Jung Koo. "Gone with the Big Data: Institutional Lender Demand for Private Information." Art. 101663. Journal of Accounting & Economics 77, nos. 2-3 (April–May 2024).
  • August 2013 (Revised August 2014)
  • Case

Catalina In the Digital Age

By: Robert J. Dolan and Uma R. Karmarkar
Catalina in the Digital Age considers how a company with a dominant market position should evolve its established product lines given the rise of novel digital technologies. Since its founding in 1983, Catalina had enjoyed a distinct position in the world of consumer... View Details
Keywords: Big Data; Digital Technologies; Marketing; Customer Relationship Management; Consumer Behavior; Analytics and Data Science
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Dolan, Robert J., and Uma R. Karmarkar. "Catalina In the Digital Age." Harvard Business School Case 514-021, August 2013. (Revised August 2014.)
  • February 2001 (Revised April 2001)
  • Background Note

Note on Valuing Private Businesses

By: Dwight B. Crane and Indra Reinbergs
This case provides a brief overview of valuation for owners of closely held companies. The focus is on a comparable transactions approach, although rules of thumb and discounted cash flow are mentioned. Earnings multiples and their drivers are discussed. It uses... View Details
Keywords: Earnings Management; Finance; Cash Flow; Analytics and Data Science; Private Ownership; Valuation
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Crane, Dwight B., and Indra Reinbergs. "Note on Valuing Private Businesses." Harvard Business School Background Note 201-060, February 2001. (Revised April 2001.)
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