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- All HBS Web
(6,918)
- News (1,269)
- Research (4,451)
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- Multimedia (73)
- Faculty Publications (3,090)
Show Results For
- All HBS Web
(6,918)
- News (1,269)
- Research (4,451)
- Events (116)
- Multimedia (73)
- Faculty Publications (3,090)
- Fast Answer
Geographic Information Systems (GIS) Tools
What GIS resources are available to Harvard affiliates? Harvard provides access to several tools that allow you to map data: SimplyAnalytics: web-based mapping tool that incorporates market research data from Experian... View Details
- Fast Answer
Resources for Harvard Economics Students
A series of resources, tips and FAQs to support Harvard economics doctoral students, senior thesis writers and econ concentrators navigating Baker Library financial data resources. Which databases can I use... View Details
- 2023
- Article
Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators
By: Benjamin Jakubowski, Siram Somanchi, Edward McFowland III and Daniel B. Neill
Regression discontinuity (RD) designs are widely used to estimate causal effects in the absence of a randomized experiment. However, standard approaches to RD analysis face two significant limitations. First, they require a priori knowledge of discontinuities in... View Details
Jakubowski, Benjamin, Siram Somanchi, Edward McFowland III, and Daniel B. Neill. "Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators." Journal of Machine Learning Research 24, no. 133 (2023): 1–57.
- November 1998
- Teaching Note
Working with your "Shadow Partner" TN
By: Richard L. Nolan
Teaching Note for (9-399-051). 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.
- Fast Answer
Historical wages by industry
Where do I find historical data on wages for a US industry? US data is available from the Bureau of Labor Statistics. International data is available from the View Details
- 28 Jun 2017
- Research & Ideas
Minimum Wage Hikes Drive (Lousy) Restaurants Out of Business
are the largest employer of minimum wage workers but also because they have a fairly high turnover rate—about 5 percent of restaurants go out of business each year. Using data obtained from Yelp, the researchers looked at reviews of about... View Details
- Web
Global Industry Bubble Watch - Behavioral Finance & Financial Stability
Data Global Industry Bubble Watch Download Data Set in Excel View Sector: Consumer Discretionary Consumer Discretionary Consumer Staples Energy Financials Healthcare Industrials Information Technology... View Details
- 15 Dec 2024
- News
Forward Thinking
You can ask the internet anything, but getting an answer via generative artificial intelligence consumes about 10 times more electricity than a traditional Google search. Consequently, the data centers where AI tools are trained and run... View Details
- Fast Answer
Company demographics by size and state
Where can I find statistics on US businesses by size and state? The Small Business Administration's Office of Advocacy Data on Small Businesses curates a list of sources for View Details
- Web
Pitchbook | Baker Library
data downloads. Profile views are limited to 250 per day. Faculty and staff with Harvard University account codes can purchase additional data download capabilities of 1000 daily/2000 monthly rows of... View Details
- 2022
- Chapter
Measuring Compliance Risk and the Emergence of Analytics
By: Eugene F. Soltes
Corporate compliance manages a diverse set of regulatory and reputational concerns ranging from fraud to privacy to discrimination. However, effectively managing such risks has often been hampered by a lack of adequate information about when, where, and why misconduct... View Details
Keywords: Compliance; Risk; Analytics; Governance Compliance; Governing Rules, Regulations, and Reforms; Risk Management; Analytics and Data Science
Soltes, Eugene F. "Measuring Compliance Risk and the Emergence of Analytics." Chap. 8 in Measuring Compliance: Assessing Corporate Crime and Misconduct Prevention, edited by Melissa Rorie and Benjamin van Rooij, 137–152. Cambridge University Press, 2022.
- Web
Archiving Your Research Files - Research Computing Services
Technical How-To’s & Notes Technical How-To’s & Notes Archiving Your Research Files Archive your files to an external drive or DVD by doing the following: Put the data or project files in a subdirectory Run the script called make-archive... View Details
- February 2011
- Supplement
Dataset for "MercadoLibre.com" (CW)
By: Francisco de Asis Martinez-Jerez
Datasets of listings and powersellers transactions to perform analysis for the case. View Details
- Career Coach
Alan Braly
strategies, and product roadmaps in areas of innovation with a current emphasis on oncology data science and data products. Along the way, he has been a leader, manager, mentor, coach, and sounding board for... View Details
- 2022
- Article
Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post hoc Explanations
By: Tessa Han, Suraj Srinivas and Himabindu Lakkaraju
A critical problem in the field of post hoc explainability is the lack of a common foundational goal among methods. For example, some methods are motivated by function approximation, some by game theoretic notions, and some by obtaining clean visualizations. This... View Details
Han, Tessa, Suraj Srinivas, and Himabindu Lakkaraju. "Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post hoc Explanations." Advances in Neural Information Processing Systems (NeurIPS) (2022). (Best Paper Award, International Conference on Machine Learning (ICML) Workshop on Interpretable ML in Healthcare.)
- 2022
- Article
Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations
By: Jessica Dai, Sohini Upadhyay, Ulrich Aivodji, Stephen Bach and Himabindu Lakkaraju
As post hoc explanation methods are increasingly being leveraged to explain complex models in high-stakes settings, it becomes critical to ensure that the quality of the resulting explanations is consistently high across all subgroups of a population. For instance, it... View Details
Dai, Jessica, Sohini Upadhyay, Ulrich Aivodji, Stephen Bach, and Himabindu Lakkaraju. "Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (2022): 203–214.
- 25 Aug 2020
- Blog Post
Hikma Health + HBS MBAs Crowdsource Largest County-Level COVID-19 Dataset
brainstorming, and research, it became clear that despite its enormous value, COVID-19 policy data at the more granular county level was virtually nonexistent. In response, HBS MBA students teamed up with Hikma Health to crowdsource the... View Details