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Show Results For
- All HBS Web
(1,193)
- News (210)
- Research (832)
- Events (12)
- Multimedia (2)
- Faculty Publications (324)
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- 2021
- Working Paper
Pandemic Schooling Mode and Student Test Scores: Evidence from U.S. States
By: Clare Halloran, Rebecca Jack, James C. Okun and Emily Oster
We estimate the impact of district-level schooling mode (in-person versus hybrid or distance learning) on test scores. We combine Spring 2021 state standardized test score data with comprehensive data on schooling in the 2020-21 school year across 12 states. We find... View Details
Keywords: COVID-19 Pandemic; In-person Schooling; Distance Learning; Outcomes Measurement; Health Pandemics; Education; Performance Evaluation
Halloran, Clare, Rebecca Jack, James C. Okun, and Emily Oster. "Pandemic Schooling Mode and Student Test Scores: Evidence from U.S. States." NBER Working Paper Series, No. 29497, November 2021.
- September 2020 (Revised July 2022)
- Exercise
Artea (B): Including Customer-Level Demographic Data
By: Eva Ascarza and Ayelet Israeli
This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The... View Details
Keywords: Targeting; Algorithmic Bias; Race; Gender; Marketing; Diversity; Customer Relationship Management; Demographics; Prejudice and Bias; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States
Ascarza, Eva, and Ayelet Israeli. "Artea (B): Including Customer-Level Demographic Data." Harvard Business School Exercise 521-022, September 2020. (Revised July 2022.)
- September–October 2021
- Article
Internalization of Advertising Services: Testing a Theory of the Firm
By: Alvin J. Silk, Birger Wernerfelt and Shuyi Yu
In 1956, a group of trade associations representing publishers and independent advertising agencies signed a consent decree aimed at ending a set of trade practices that for half a century effectively precluded advertisers from owning and operating in-house agencies.... View Details
Keywords: Internationalization; Specialization; Theory Of The Firm; Advertising Agencies; Advertising; Organizational Structure; Theory
Silk, Alvin J., Birger Wernerfelt, and Shuyi Yu. "Internalization of Advertising Services: Testing a Theory of the Firm." Marketing Science 40, no. 5 (September–October 2021): 946–963.
- 2019
- Article
Time Series Experiments and Causal Estimands: Exact Randomization Tests and Trading
By: Iavor I Bojinov and Neil Shephard
We define causal estimands for experiments on single time series, extending the potential outcome framework to dealing with temporal data. Our approach allows the estimation of a broad class of these estimands and exact randomization based p-values for testing causal... View Details
Bojinov, Iavor I., and Neil Shephard. "Time Series Experiments and Causal Estimands: Exact Randomization Tests and Trading." Journal of the American Statistical Association 114, no. 528 (2019): 1665–1682.
- November 2019
- Article
How Do Sales Efforts Pay Off? Dynamic Panel Data Analysis in the Nerlove-Arrow Framework
By: Doug J. Chung, Byungyeon Kim and Byoung G. Park
This paper evaluates the short- and long-term value of sales representatives’ detailing visits to different types of physicians. By understanding the dynamic effect of sales calls across heterogeneous physicians, we provide guidance on the design of optimal call... View Details
Keywords: Nerlove-Arrow Framework; Stock-of-goodwill; Dynamic Panel Data; Serial Correlation; Instrumental Variables; Sales Effectiveness; Detailing; Analytics and Data Science; Sales; Analysis; Performance Effectiveness; Pharmaceutical Industry
Chung, Doug J., Byungyeon Kim, and Byoung G. Park. "How Do Sales Efforts Pay Off? Dynamic Panel Data Analysis in the Nerlove-Arrow Framework." Management Science 65, no. 11 (November 2019): 5197–5218.
- 1987
- Working Paper
Tests of Excess Forecast Volatility in the Foreign Exchange and Stock Markets
By: K. A. Froot
Simple regression tests that have power against the alternatives that asset prices and expected future asset returns are excessively volatile are developed and performed for the foreign exchange and stock markets. These tests have a number of advantages over... View Details
- February 2021
- Article
Testing the Waters: Behavior across Participant Pools
By: Erik Snowberg and Leeat Yariv
We leverage a large-scale incentivized survey eliciting behaviors from (almost) an entire university student population, a representative sample of the U.S. population, and Amazon Mechanical Turk (MTurk) to address concerns about the external validity of experiments... View Details
Keywords: Lab Selection; External Validity; Experiments; Behavior; Surveys; Analytics and Data Science; Analysis
Snowberg, Erik, and Leeat Yariv. "Testing the Waters: Behavior across Participant Pools." American Economic Review 111, no. 2 (February 2021): 687–719.
- Article
Tabulated Nonsense? Testing the Validity of the Ethnographic Atlas
By: Duman Bahrami-Rad, Anke Becker and Joseph Henrich
The Ethnographic Atlas (Murdock, 1967), an anthropological database, is widely used across the social sciences. The Atlas is a quantified and discretely categorized collection of information gleaned from ethnographies covering more than 1200... View Details
Bahrami-Rad, Duman, Anke Becker, and Joseph Henrich. "Tabulated Nonsense? Testing the Validity of the Ethnographic Atlas." Art. 109880. Economics Letters 204 (July 2021).
- 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).
- March 2021
- Supplement
Artea (A), (B), (C), and (D): Designing Targeting Strategies
By: Eva Ascarza and Ayelet Israeli
Power Point Supplement to Teaching Note for HBS No. 521-021,521-022,521-037,521-043. This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on... View Details
Keywords: Targeted Advertising; Targeting; Algorithmic Data; Bias; A/B Testing; Experiment; Advertising; Gender; Race; Diversity; Marketing; Customer Relationship Management; Prejudice and Bias; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States
- September 16, 2022
- Article
A Causal Test of the Strength of Weak Ties
By: Karthik Rajkumar, Guillaume Saint-Jacques, Iavor I. Bojinov, Erik Brynjolfsson and Sinan Aral
The authors analyzed data from multiple large-scale randomized experiments on LinkedIn’s People You May Know algorithm, which recommends new connections to LinkedIn members, to test the extent to which weak ties increased job mobility in the world’s largest... View Details
Rajkumar, Karthik, Guillaume Saint-Jacques, Iavor I. Bojinov, Erik Brynjolfsson, and Sinan Aral. "A Causal Test of the Strength of Weak Ties." Science 377, no. 6612 (September 16, 2022).
- 2015
- Article
Testing Strategy with Multiple Performance Measures: Evidence from a Balanced Scorecard at Store24
We analyze balanced scorecard data from a convenience store chain, Store24, during the implementation of an innovative, but ultimately unsuccessful, strategy. Quarterly strategic reviews, based in part on the firm's balanced scorecard, led executives at Store24 to... View Details
Campbell, Dennis, Srikant M. Datar, Susan L. Kulp, and V.G. Narayanan. "Testing Strategy with Multiple Performance Measures: Evidence from a Balanced Scorecard at Store24." Journal of Management Accounting Research 27, no. 2 (2015): 39–65.
- 22 May 2008
- Working Paper Summaries
Testing Strategy with Multiple Performance Measures Evidence from a Balanced Scorecard at Store24
- 15 Aug 2024
- Op-Ed
Post-CrowdStrike, Six Questions to Test Your Company's Operational Resilience
team. They will be responsible for designing and maintaining the business continuity and disaster recovery management plan, ensuring a robust and effective response to potential disasters. Process: Maintaining the plan iteratively and conducting View Details
Keywords: by Hise Gibson and Anita Lynch
- 2017
- Working Paper
Nowcasting the Local Economy: Using Yelp Data to Measure Economic Activity
By: Edward L. Glaeser, Hyunjin Kim and Michael Luca
Can new data sources from online platforms help to measure local economic activity? Government datasets from agencies such as the U.S. Census Bureau provide the standard measures of economic activity at the local level. However, these statistics typically appear only... View Details
Glaeser, Edward L., Hyunjin Kim, and Michael Luca. "Nowcasting the Local Economy: Using Yelp Data to Measure Economic Activity." Harvard Business School Working Paper, No. 18-022, September 2017. (Revised October 2017.)
- January–February 2025
- Article
Want Your Company to Get Better at Experimentation?: Learn Fast by Democratizing Testing
By: Iavor Bojinov, David Holtz, Ramesh Johari, Sven Schmit and Martin Tingley
For years, online experimentation has fueled the innovations of leading tech companies, enabling them to rapidly test and refine new ideas, optimize product features, personalize user experiences, and maintain a competitive edge. The widespread availability and lower... View Details
Keywords: Technological Innovation; AI and Machine Learning; Analytics and Data Science; Product Development; Competitive Advantage
Bojinov, Iavor, David Holtz, Ramesh Johari, Sven Schmit, and Martin Tingley. "Want Your Company to Get Better at Experimentation? Learn Fast by Democratizing Testing." Harvard Business Review 103, no. 1 (January–February 2025): 96–103.
- 2016
- Working Paper
Experimental Evidence on Policies Aimed at Closing the Gender Gap in Willingness to Guess on Multiple-Choice Tests
Research has shown that women skip more questions than men on multiple-choice tests with penalties for wrong answers. We propose and test five policy changes aimed at eliminating this source of gender bias in test scores. Our data show that simply removing the penalty... View Details
- February 2025
- Article
Variation in Batch Ordering of Imaging Tests in the Emergency Department and the Impact on Care Delivery
By: Jacob C. Jameson, Soroush Saghafian, Robert S. Huckman and Nicole Hodgson
Objectives: To examine heterogeneity in physician batch ordering practices and measure the impact of a physician's tendency to batch order imaging tests on patient outcomes and resource utilization.
Study Setting and Design: In this retrospective study, we used... View Details
Study Setting and Design: In this retrospective study, we used... View Details
Keywords: Health Care; Operations Management; Productivity; Health Care and Treatment; Operations; Outcome or Result; Resource Allocation; Health Industry; United States
Jameson, Jacob C., Soroush Saghafian, Robert S. Huckman, and Nicole Hodgson. "Variation in Batch Ordering of Imaging Tests in the Emergency Department and the Impact on Care Delivery." Health Services Research 60, no. 1 (February 2025).
- 12 Apr 2022
- Research & Ideas
Swiping Right: How Data Helped This Online Dating Site Make More Matches
them with a premium “who likes you” feature. The control group couldn’t see their potential paramours, only their number of swipes. However, the test group would enjoy a reveal after one month, unblurring the photo of each user who... View Details
Keywords: by Kara Baskin
- May–June 2018
- Article
Data Uncertainty in Markov Chains: Application to Cost-Effectiveness Analyses of Medical Innovations
By: Joel Goh, Mohsen Bayati, Stefanos A. Zenios, Sundeep Singh and David Moore
Cost-effectiveness studies of medical innovations often suffer from data inadequacy. When Markov chains are used as a modeling framework for such studies, this data inadequacy can manifest itself as imprecision in the elements of the transition matrix. In this paper,... View Details
Keywords: Markov Chains; Cost Effectiveness; Medical Innovations; Colorectal Cancer; Health Care and Treatment; Cost vs Benefits; Innovation and Invention; Mathematical Methods; Health Industry
Goh, Joel, Mohsen Bayati, Stefanos A. Zenios, Sundeep Singh, and David Moore. "Data Uncertainty in Markov Chains: Application to Cost-Effectiveness Analyses of Medical Innovations." Operations Research 66, no. 3 (May–June 2018): 697–715. (Winner, 2014 INFORMS Health Applications Society Pierskalla Award & Finalist, 2014 INFORMS George E. Nicholson student paper competition.)