Filter Results:
(2,019)
Show Results For
- All HBS Web
(3,492)
- People (1)
- News (1,030)
- Research (2,019)
- Events (7)
- Multimedia (50)
- Faculty Publications (984)
Show Results For
- All HBS Web
(3,492)
- People (1)
- News (1,030)
- Research (2,019)
- Events (7)
- Multimedia (50)
- Faculty Publications (984)
Sort by
- 13 Oct 2006
- Working Paper Summaries
Coerced Confessions: Self-Policing in the Shadow of the Regulator
Keywords: by Jodi L. Short & Michael W. Toffel
- 13 Apr 2011
- Working Paper Summaries
The ‘IKEA Effect’: When Labor Leads to Love
- 03 Nov 2011
- Working Paper Summaries
Pricing and Efficiency in the Market for IP Addresses
- 12 Feb 2016
- Working Paper Summaries
Enhancing the Practical Relevance of Research
- 02 Nov 2006
- Working Paper Summaries
Resolving Information Asymmetries in Markets: The Role of Certified Management Programs
Keywords: by Michael W. Toffel
- 27 Dec 2014
- Working Paper Summaries
How Should We Pay for Health Care?
- 14 Mar 2016
- Working Paper Summaries
The Role of Incentive Salience in Habit Formation
- 18 Jun 2008
- Working Paper Summaries
Evaluating the Impact of SA 8000 Certification
- 01 Jun 2020
- Working Paper Summaries
Spreading the Health: Americans' Estimated and Ideal Distributions of Death and Health(care)
- 09 Oct 2018
- Working Paper Summaries
Towards a New Approach for Upgrading Europe’s Competitiveness
- 11 Dec 2008
- Working Paper Summaries
Quality Management and Job Quality: How the ISO 9001 Standard for Quality Management Systems Affects Employees and Employers
Keywords: by David I. Levine & Michael W. Toffel
- 10 Sep 2009
- Working Paper Summaries
Feeling Good about Giving: The Benefits (and Costs) of Self-Interested Charitable Behavior
- Forthcoming
- Article
Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments
By: Kosuke Imai and Michael Lingzhi Li
Researchers are increasingly turning to machine learning (ML) algorithms to investigate causal heterogeneity in randomized experiments. Despite their promise, ML algorithms may fail to accurately ascertain heterogeneous treatment effects under practical settings with... View Details
Imai, Kosuke, and Michael Lingzhi Li. "Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments." Journal of Business & Economic Statistics (forthcoming). (Pre-published online July 8, 2024.)
- 2013
- Article
Where Not to Eat? Improving Public Policy by Predicting Hygiene Inspections Using Online Reviews
By: Jun Seok Kang, Polina Kuznetsova, Yejin Choi and Michael Luca
Restaurant hygiene inspections are often cited as a success story of public disclosure. Hygiene grades influence customer decisions and serve as an accountability system for restaurants. However, cities (which are responsible for inspections) have limited resources to... View Details
Keywords: Safety; Food; Governance Compliance; Mathematical Methods; Applications and Software; Public Administration Industry; Retail Industry; Food and Beverage Industry
Kang, Jun Seok, Polina Kuznetsova, Yejin Choi, and Michael Luca. "Where Not to Eat? Improving Public Policy by Predicting Hygiene Inspections Using Online Reviews." Proceedings of the Conference on Empirical Methods in Natural Language Processing (2013): 1443–1448.
- 30 May 2007
- Working Paper Summaries
Ambidexterity as a Dynamic Capability: Resolving the Innovator’s Dilemma
- 25 May 2007
- Working Paper Summaries
Self-Regulatory Institutions for Solving Environmental Problems: Perspectives and Contributions from the Management Literature
Keywords: by Andrew King & Michael W. Toffel
- 2021
- Working Paper
International Evidence on the Effects of a Local Presence by U.S. Credit Rating Agencies
By: Liran Eliner, Michael Machokoto and Anywhere Sikochi
Major U.S. credit rating agencies are criticized for failing to understand developments in other economies and thereby impeding capital access by assigning lower ratings. Consistent with this, we find that Moody's and S&P credit ratings are more favorable after the... View Details
Keywords: Credit Rating Agencies; Credit Ratings; Rating Adjustments; Rating Disagreement; Geographic Proximity; Soft Information; Credit; Geographic Location; Local Range
Eliner, Liran, Michael Machokoto, and Anywhere Sikochi. "International Evidence on the Effects of a Local Presence by U.S. Credit Rating Agencies." Harvard Business School Working Paper, No. 20-083, February 2020. (Revised August 2021.)
- 07 Jan 2010
- Working Paper Summaries
International Differences in the Size and Roles of Corporate Headquarters: An Empirical Examination
- 28 Apr 2010
- Working Paper Summaries