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Show Results For
- All HBS Web
(6,906)
- News (1,180)
- Research (4,299)
- Events (107)
- Multimedia (62)
- Faculty Publications (2,956)
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- September 2021 (Revised December 2021)
- Case
Spire, the CubeSat Revolution, and the Government as a Space Data Customer
By: Matthew Weinzierl, Mehak Sarang and Brendan L. Rosseau
This case outlines the rise of Spire Global, a young space company using CubeSats to provide weather data and weather prediction services. In addition to tracing the evolution of a space startup from novel idea to publicly-traded company, the case also examines the... View Details
Keywords: Space; Government Contracting; Remote Sensing; Satellites; Business Startups; Public Sector; Cost vs Benefits; Competition; Weather; Forecasting and Prediction
Weinzierl, Matthew, Mehak Sarang, and Brendan L. Rosseau. "Spire, the CubeSat Revolution, and the Government as a Space Data Customer." Harvard Business School Case 722-013, September 2021. (Revised December 2021.)
- December 2011
- Article
Data Impediments to Empirical Work on Health Insurance Markets
By: Leemore S. Dafny, David Dranove, Frank Limbrock and Fiona Scott Morton
We compare four datasets that researchers might use to study competition in the health insurance industry. We show that the two datasets most commonly used to estimate market concentration differ considerably from each other (both in levels and in changes over time),... View Details
Dafny, Leemore S., David Dranove, Frank Limbrock, and Fiona Scott Morton. "Data Impediments to Empirical Work on Health Insurance Markets." B.E. Journal of Economic Analysis & Policy 11, no. 2 (December 2011).
- 2023
- Working Paper
Feature Importance Disparities for Data Bias Investigations
By: Peter W. Chang, Leor Fishman and Seth Neel
It is widely held that one cause of downstream bias in classifiers is bias present in the training data. Rectifying such biases may involve context-dependent interventions such as training separate models on subgroups, removing features with bias in the collection... View Details
Chang, Peter W., Leor Fishman, and Seth Neel. "Feature Importance Disparities for Data Bias Investigations." Working Paper, March 2023.
- 2009
- Chapter
Entry, Exit and Labour Productivity in U.K. Retailing: Evidence from Micro Data
By: Jonathan Haskel and Raffaella Sadun
The paper investigates the U.K. retail sector using store and firm-level data between 1998 and 2003. First, we present the first exhaustive description of the U.K. retail sector using micro data sources. Second, in the spirit of Foster, Haltiwanger, and Krizan (2002),... View Details
Keywords: Business Ventures; Market Entry and Exit; Organizational Change and Adaptation; Performance Productivity; Retail Industry; United Kingdom
Haskel, Jonathan, and Raffaella Sadun. "Entry, Exit and Labour Productivity in U.K. Retailing: Evidence from Micro Data." Chap. 7 in Producer Dynamics: New Evidence from Micro Data, edited by Timothy Dunne, J. Bradford Jensen, and Mark J. Roberts. University of Chicago Press, 2009. (Working Paper version.)
- 16 Nov 2010
- Lessons from the Classroom
Data.gov: Matching Government Data with Rapid Innovation
Obama-to move government data to the Web-lead to public benefits much faster? Data.gov, the subject of a new HBS case study, taught for the first time this summer, highlights the potential of raw data to... View Details
- 2012
- Working Paper
Information Technology and Boundary of the Firm: Evidence from Plant-Level Data
By: Chris Forman and Kristina McElheran
We study the relationship between different margins of information technology (IT) use and vertical integration using plant-level data from the U.S. Census of Manufactures. Focusing on the short-run decision of whether to allocate production output to downstream plants... View Details
Keywords: Information Technology; Technology Adoption; Production; Factories, Labs, and Plants; Vertical Integration; Supply Chain; Manufacturing Industry; United States
Forman, Chris, and Kristina McElheran. "Information Technology and Boundary of the Firm: Evidence from Plant-Level Data." Harvard Business School Working Paper, No. 12-092, April 2012.
- January 2018
- Article
Big Data and Big Cities: The Promises and Limitations of Improved Measures of Urban Life
By: Edward L. Glaeser, Scott Duke Kominers, Michael Luca and Nikhil Naik
New, "big" data sources allow measurement of city characteristics and outcome variables at higher frequencies and finer geographic scales than ever before. However, big data will not solve large urban social science questions on its own. Big data has the most value for... View Details
Glaeser, Edward L., Scott Duke Kominers, Michael Luca, and Nikhil Naik. "Big Data and Big Cities: The Promises and Limitations of Improved Measures of Urban Life." Economic Inquiry 56, no. 1 (January 2018): 114–137.
- 2023
- Working Paper
Distributionally Robust Causal Inference with Observational Data
By: Dimitris Bertsimas, Kosuke Imai and Michael Lingzhi Li
We consider the estimation of average treatment effects in observational studies and propose a new framework of robust causal inference with unobserved confounders. Our approach is based on distributionally robust optimization and proceeds in two steps. We first... View Details
Bertsimas, Dimitris, Kosuke Imai, and Michael Lingzhi Li. "Distributionally Robust Causal Inference with Observational Data." Working Paper, February 2023.
- 21 Jan 2020
- Working Paper Summaries
The Impact of the General Data Protection Regulation on Internet Interconnection
- 2023
- Working Paper
Digital Lending and Financial Well-Being: Through the Lens of Mobile Phone Data
By: AJ Chen, Omri Even-Tov, Jung Koo Kang and Regina Wittenberg-Moerman
To mitigate information asymmetry about borrowers in developing economies, digital lenders utilize machine-learning algorithms and nontraditional data from borrowers’ mobile devices. Consequently, digital lenders have managed to expand access to credit for millions of... View Details
Keywords: Borrowing and Debt; Credit; AI and Machine Learning; Welfare; Well-being; Developing Countries and Economies; Equality and Inequality
Chen, AJ, Omri Even-Tov, Jung Koo Kang, and Regina Wittenberg-Moerman. "Digital Lending and Financial Well-Being: Through the Lens of Mobile Phone Data." Harvard Business School Working Paper, No. 23-076, April 2023. (Revised November 2023. SSRN Working Paper Series, November 2023)
- 17 May 2007
- Working Paper Summaries
The Price of Capital: Evidence from Trade Data
Keywords: by Laura Alfaro & Faisal Z. Ahmed
- Article
Mitigating Bias in Adaptive Data Gathering via Differential Privacy
By: Seth Neel and Aaron Leon Roth
Data that is gathered adaptively—via bandit algorithms, for example—exhibits bias. This is true both when gathering simple numeric valued data—the empirical means kept track of by stochastic bandit algorithms are biased downwards—and when gathering more complicated... View Details
Neel, Seth, and Aaron Leon Roth. "Mitigating Bias in Adaptive Data Gathering via Differential Privacy." Proceedings of the International Conference on Machine Learning (ICML) 35th (2018).
- November 1999 (Revised May 2000)
- Supplement
Data Supplement: Post-War US Economic Statistics
By: Julio J. Rotemberg and Cherie Nursalim
Supplements Tax Cut of 1964 (9-382-078), Nixon's Economic Strategy--1969 (8-378-258), and The Reagan Plan (9-381-173). View Details
Keywords: History; Sovereign Finance; Development Economics; Mathematical Methods; Taxation; Policy; Government Administration; Macroeconomics; United States
Rotemberg, Julio J., and Cherie Nursalim. "Data Supplement: Post-War US Economic Statistics." Harvard Business School Supplement 700-070, November 1999. (Revised May 2000.)
- Article
International Data on Measuring Management Practices
By: Nicholas Bloom, Renata Lemos, Raffaella Sadun, Daniela Scur and John Van Reenen
We examine methods used to survey firms on their management and organizational practices. We contrast the strengths and weaknesses of "open-ended questions" (e.g., World Management Survey) with "closed questions" (e.g., Management and Organizational Practices Surveys).... View Details
Bloom, Nicholas, Renata Lemos, Raffaella Sadun, Daniela Scur, and John Van Reenen. "International Data on Measuring Management Practices." American Economic Review: Papers and Proceedings 106, no. 5 (May 2016): 152–156.
- November 2023
- Article
Federated Electronic Health Records for the European Health Data Space
By: René Raab, Arne Küderle, Anastasiya Zakreuskaya, Ariel Dora Stern, Jochen Klucken, Georgios Kaissis, Daniel Rueckert, Susanne Boll, Roland Eils, Harald Wagener and Bjoern Eskofier
The European Commission's draft for the European Health Data Space (EHDS) aims to empower citizens to access their personal health data and share it with physicians and other health-care providers. It further defines procedures for the secondary use of electronic... View Details
Keywords: Analytics and Data Science; Cybersecurity; Information Management; Knowledge Sharing; Knowledge Use and Leverage; Health Industry
Raab, René, Arne Küderle, Anastasiya Zakreuskaya, Ariel Dora Stern, Jochen Klucken, Georgios Kaissis, Daniel Rueckert, Susanne Boll, Roland Eils, Harald Wagener, and Bjoern Eskofier. "Federated Electronic Health Records for the European Health Data Space." Lancet Digital Health 5, no. 11 (November 2023): e840–e847.
- 2024
- Working Paper
Incorporating Micro Data into Differentiated Products Demand Estimation with PyBLP
We delineate a general framework for incorporating many types of micro data from summary statistics to full surveys of selected consumers into Berry, Levinsohn, and Pakes (1995) style estimates of differentiated products demand systems. We extend recommended practices... View Details
Conlon, Chris, and Jeff Gortmaker. "Incorporating Micro Data into Differentiated Products Demand Estimation with PyBLP." Working Paper, September 2024.
- September 2022 (Revised July 2023)
- Case
Data Privacy in Practice at LinkedIn
Bojinov, Iavor, Marco Iansiti, and Seth Neel. "Data Privacy in Practice at LinkedIn." Harvard Business School Case 623-024, September 2022. (Revised July 2023.)
- September 2022
- Article
House Prices, Home Equity and Entrepreneurship: Evidence from U.S. Census Micro Data
By: Sari Pekkala Kerr, William R. Kerr and Ramana Nanda
During 1992-2007, house price growth is strongly correlated with local entrepreneurship. We show with Census Bureau data that most of this entry is related to construction and real estate; these entrants tend to be small and short-lived. Using a 1998 Texas reform that... View Details
Keywords: House Prices; Collateral Channel; Entry; Entrepreneurship; Housing; Real Estate Industry; Construction Industry
Kerr, Sari Pekkala, William R. Kerr, and Ramana Nanda. "House Prices, Home Equity and Entrepreneurship: Evidence from U.S. Census Micro Data." Journal of Monetary Economics 130 (September 2022): 103–119.
- 23 Sep 2017
- Working Paper Summaries
Nowcasting the Local Economy: Using Yelp Data to Measure Economic Activity at Scale
- September 2024
- Teaching Note
Amperity: First-Party Data at a Crossroads
By: Elie Ofek and Hema Yoganarasimhan
Teaching Note for HBS Case No. 524-017. View Details