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  • September 2013
  • Article

Testimonials Do Not Convert Patients from Brand to Generic Medication

By: John Beshears, James J. Choi, David Laibson, Brigitte C. Madrian and Gwendolyn Reynolds

Objectives: To assess whether the addition of a peer testimonial to an informational mailing increases conversion rates from brand name prescription medications to lower-cost therapeutic equivalents, and whether the testimonial's efficacy increases when... View Details

Keywords: Testimonial; Peer Information; Social Proximity; Communication; Generic Medication; Familiarity; Marketing Communications; Decision Choices and Conditions; Identity; Health Care and Treatment; Marketing Reference Programs; Power and Influence; Brands and Branding; Health Industry
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  • 26 Mar 2024
  • HBS Seminar

Szu-Chi Huang, Stanford Graduate School of Business

  • 19 Nov 2024
  • HBS Seminar

Christian Terwiesch, Wharton

  • Research Summary

Business and Low Income Sectors: The Creation of Economic and Social Value

In the last three decades, innovative commercial solutions have emerged in developing nations focusing on providing effective responses to the hugely underserved needs of low-income populations, both as consumers as well as active participants in productive value... View Details
  • 2023
  • Article

Towards Bridging the Gaps between the Right to Explanation and the Right to Be Forgotten

By: Himabindu Lakkaraju, Satyapriya Krishna and Jiaqi Ma
The Right to Explanation and the Right to be Forgotten are two important principles outlined to regulate algorithmic decision making and data usage in real-world applications. While the right to explanation allows individuals to request an actionable explanation for an... View Details
Keywords: Analytics and Data Science; AI and Machine Learning; Decision Making; Governing Rules, Regulations, and Reforms
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  • 2020
  • Working Paper

Fresh Fruit and Vegetable Consumption: The Impact of Access and Value

By: Retsef Levi, Elisabeth Paulson and Georgia Perakis
The goal of this paper is to leverage household-level data to improve food-related policies aimed at increasing the consumption of fruits and vegetables (FVs) among low-income households. Currently, several interventions target areas where residents have limited... View Details
Keywords: Food Deserts; Food Access; Food Policy; Causal Inference; Food; Nutrition; Poverty; Government Administration
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  • 2021
  • Article

Does Fair Ranking Improve Minority Outcomes? Understanding the Interplay of Human and Algorithmic Biases in Online Hiring

By: Tom Sühr, Sophie Hilgard and Himabindu Lakkaraju
Ranking algorithms are being widely employed in various online hiring platforms including LinkedIn, TaskRabbit, and Fiverr. Prior research has demonstrated that ranking algorithms employed by these platforms are prone to a variety of undesirable biases, leading to the... View Details
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  • Article

Reliable Post hoc Explanations: Modeling Uncertainty in Explainability

By: Dylan Slack, Sophie Hilgard, Sameer Singh and Himabindu Lakkaraju
As black box explanations are increasingly being employed to establish model credibility in high stakes settings, it is important to ensure that these explanations are accurate and reliable. However, prior work demonstrates that explanations generated by... View Details
Keywords: Black Box Explanations; Bayesian Modeling; Decision Making; Risk and Uncertainty; Information Technology
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  • 30 May 2013
  • Working Paper Summaries

Non-Standard Matches and Charitable Giving

Keywords: by Michael Sanders, Sarah Smith & Michael I. Norton
  • 17 Dec 2013
  • First Look

First Look: December 17

  Publications August 2013 Harvard Business Review Press Can China Lead? Reaching the Limits of Power and Growth By: Abrami, Regina M., William C. Kirby, and F. Warren McFarlan Abstract—At the time of the American Revolution, China was the strongest, richest, and most... View Details
Keywords: Carmen Nobel
  • 05 Sep 2023
  • Book

Failing Well: How Your ‘Intelligent Failure’ Unlocks Your Full Potential

acid deficiency. When the drug was reformulated with folic acid, it passed its efficacy trials, eventually becoming a multibillion-dollar pharmaceutical that helped thousands of lung cancer patients. How to fail intelligently Edmondson,... View Details
Keywords: by Michael Blanding
  • 11 Apr 2017
  • First Look

First Look at New Research, April 11

forthcoming Journal of Accounting & Economics Career Concerns of Banking Analysts By: Horton, Joanne, George Serafeim, and Shan Wu Abstract—We study how career concerns influence banking analysts' forecasts and how their forecasting behavior benefits both them and... View Details
  • Research Summary

Of Measurement and Mission: Accounting for Performance in Non-Governmental Organizations

By: Debora L. Spar
As members of civil society NGOs would seem to have a built-in proclivity towards representation: towards working on behalf of some group of people, or toward some specific goal. Yet in practice such moments of accountability are rare. Unlike other social agents,... View Details
  • 2021
  • Article

Fair Influence Maximization: A Welfare Optimization Approach

By: Aida Rahmattalabi, Shahin Jabbari, Himabindu Lakkaraju, Phebe Vayanos, Max Izenberg, Ryan Brown, Eric Rice and Milind Tambe
Several behavioral, social, and public health interventions, such as suicide/HIV prevention or community preparedness against natural disasters, leverage social network information to maximize outreach. Algorithmic influence maximization techniques have been proposed... View Details
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  • 2014
  • Working Paper

Bridging Science and Technology Through Academic-Industry Partnerships

By: Sen Chai and Willy C. Shih
Scientific research and its translation into commercialized technology is a driver of wealth creation and economic growth. Partnerships to foster the translational processes from public research organizations, such as universities and hospitals, to private firms are a... View Details
Keywords: Innovation; Firm Performance; Public-private Partnership Funding; Translational Research; Small And Medium Enterprises; Partners and Partnerships; Public Sector; Private Sector; Performance; Science-Based Business; Innovation and Invention
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  • October–December 2022
  • Article

Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem

By: Mochen Yang, Edward McFowland III, Gordon Burtch and Gediminas Adomavicius
Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data, followed... View Details
Keywords: Machine Learning; Econometric Analysis; Instrumental Variable; Random Forest; Causal Inference; AI and Machine Learning; Forecasting and Prediction
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  • March 2020 (Revised June 2023)
  • Case

EyeControl: Inspiring Communication

By: Paul A. Gompers and Danielle Golan
Eye-controlled communication device startup EyeControl was founded in Tel Aviv, Israel in 2016 by cofounders with a shared personal connection to locked-in syndrome—a neurological disorder that left sufferers cognitively sound, yet paralyzed, with the exception of eye... View Details
Keywords: Health Disorders; Communication Technology; Business Startups; Expansion; Finance; Decision Making; Social Enterprise; Medical Devices and Supplies Industry
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  • May 15, 2012
  • Article

Ensuring Quality Cancer Care: A Follow-Up Review of the Institute of Medicine’s 10 Recommendations for Improving the Quality of Cancer Care in America

By: Tracy E. Spinks, Heidi W. Albright, Thomas W. Feeley, Ron Walters, Thomas W. Burke, Thomas Aloia, Eduardo Bruera, Aman Buzdar, Lewis Foxhall, David Hui, Barbara Summers, Alma Rodriguez, Raymond DuBois and Kenneth I. Shine
Responding to growing concerns regarding the safety, quality, and efficacy of cancer care in the United States, the Institute of Medicine (IOM) of the National Academy of Sciences commissioned a comprehensive review of cancer care delivery in the US health care system... View Details
Keywords: Cancer; Quality; Cancer Care In The U.S.; Quality Improvement; Health Care and Treatment; Health Industry; North and Central America
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  • 2023
  • Article

Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse

By: Martin Pawelczyk, Teresa Datta, Johannes van-den-Heuvel, Gjergji Kasneci and Himabindu Lakkaraju
As machine learning models are increasingly being employed to make consequential decisions in real-world settings, it becomes critical to ensure that individuals who are adversely impacted (e.g., loan denied) by the predictions of these models are provided with a means... View Details
Keywords: AI and Machine Learning; Decision Choices and Conditions; Mathematical Methods
Related

    Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem

    Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data,... View Details