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  • All HBS Web  (661)
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    • Research  (452)
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  • 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
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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.
  • October 2017 (Revised November 2017)
  • Case

NYC311

By: Constantine E. Kontokosta, Mitchell Weiss, Christine Snively and Sarah Gulick
Joe Morrisroe, executive director for NYC311, had some gut instincts but no definitive answer to the question he was just asked by one of the mayor’s deputies: “Are some communities being underserved by 311? How do we know we are hearing from the right people?” Founded... View Details
Keywords: New York City; NYC; 311; NYC311; Big Data; Equal Access; Bias; Data Analysis; Public Entrepreneurship; Urban Informatics; Predictive Analytics; Chief Data Officer; Data Analytics; Cities; City Leadership; Analytics and Data Science; Analysis; Prejudice and Bias; Entrepreneurship; Public Sector; City; Public Administration Industry; New York (city, NY)
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Kontokosta, Constantine E., Mitchell Weiss, Christine Snively, and Sarah Gulick. "NYC311." Harvard Business School Case 818-056, October 2017. (Revised November 2017.)
  • Article

Seeking the Roots of Entrepreneurship: Insights from Behavioral Economics

By: Thomas Astebro, Holger Herz, Ramana Nanda and Roberto A. Weber
There is a growing body of evidence that many entrepreneurs seem to enter and persist in entrepreneurship despite earning low risk-adjusted returns. This has lead to attempts to provide explanations—using both standard economic theory and behavioral economics—for why... View Details
Keywords: Entrepreneurship; Personal Characteristics; Attitudes; Behavior
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Astebro, Thomas, Holger Herz, Ramana Nanda, and Roberto A. Weber. "Seeking the Roots of Entrepreneurship: Insights from Behavioral Economics." Journal of Economic Perspectives 28, no. 3 (Summer 2014): 49–70.
  • December 2020
  • Supplement

Video Interview with Rebecca Fishman Lipsey

By: Rosabeth M. Kanter and Joyce Kim
Four diverse women entrepreneurs launched their ventures in a thriving entrepreneurial ecosystem that was part of a shift to a creative technology-driven economy for Miami. Although Miami was rated the #1 U.S. city for startups in 2017, the region contained structural... View Details
Keywords: Entrepreneurial Ecosystems; Female Entrepreneur; Racism; Sexism; Entrepreneurship; Business Startups; Diversity; Gender; Race; Prejudice and Bias; City; Culture; Miami
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Kanter, Rosabeth M., and Joyce Kim. "Video Interview with Rebecca Fishman Lipsey." Harvard Business School Multimedia/Video Supplement 321-705, December 2020.
  • December 2020
  • Supplement

Video Interview with Felecia Hatcher

By: Rosabeth M. Kanter and Joyce J. Kim
Four diverse women entrepreneurs launched their ventures in a thriving entrepreneurial ecosystem that was part of a shift to a creative technology-driven economy for Miami. Although Miami was rated the #1 U.S. city for startups in 2017, the region contained structural... View Details
Keywords: Entrepreneurial Ecosystems; Female Entrepreneur; Sexism; Racism; Entrepreneurship; Business Startups; Diversity; Gender; Race; Prejudice and Bias; City; Culture; Miami
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Kanter, Rosabeth M., and Joyce J. Kim. "Video Interview with Felecia Hatcher." Harvard Business School Multimedia/Video Supplement 321-703, December 2020.
  • 25 Feb 2019
  • Research & Ideas

How Gender Stereotypes Kill a Woman’s Self-Confidence

abilities, likely from a very young age,” Coffman says. “Until we can change these stereotypes, it’s essential to think about how we can better inoculate individuals from biases induced by stereotypes, helping people to pursue fulfilling... View Details
Keywords: by Dina Gerdeman
  • 19 Jun 2007
  • First Look

First Look: June 19, 2007

  Working PapersAuditing in the Self-reporting Economy Authors:Romana L. Autrey and Richard Sansing Abstract This paper examines the licensing of intellectual property in exchange for royalties that depend on the self-report of the... View Details
Keywords: Martha Lagace
  • Article

Your Visual System Provides All the Information You Need to Make Moral Judgments about Generic Visual Events

By: Julian De Freitas and George A. Alvarez
To what extent are people's moral judgments susceptible to subtle factors of which they are unaware? Here we show that we can change people’s moral judgments outside of their awareness by subtly biasing perceived causality. Specifically, we used subtle visual... View Details
Keywords: Moral Judgment; Perceived Causality; Visual Illusions; Moral Sensibility; Judgments
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De Freitas, Julian, and George A. Alvarez. "Your Visual System Provides All the Information You Need to Make Moral Judgments about Generic Visual Events." Cognition 178 (September 2018): 133–146.
  • Research Summary

Overview

Ms. Fedyk's main research interests lie at the intersection of asset pricing and behavioral finance, with a particular focus on information and belief formation. Her job market paper is part of a broader research agenda on the way in which information is incorporated... View Details
  • 2023
  • Working Paper

The Limits of Algorithmic Measures of Race in Studies of Outcome Disparities

By: David S. Scharfstein and Sergey Chernenko
We show that the use of algorithms to predict race has significant limitations in measuring and understanding the sources of racial disparities in finance, economics, and other contexts. First, we derive theoretically the direction and magnitude of measurement bias in... View Details
Keywords: Racial Disparity; Paycheck Protection Program; Measurement Error; AI and Machine Learning; Race; Measurement and Metrics; Equality and Inequality; Prejudice and Bias; Forecasting and Prediction; Outcome or Result
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Scharfstein, David S., and Sergey Chernenko. "The Limits of Algorithmic Measures of Race in Studies of Outcome Disparities." Working Paper, April 2023.
  • Teaching Interest

Executive Education: Finance for Senior Executives

By: Malcolm P. Baker

Finance for Senior Executives provides the frameworks to strategically use financial resources and position your company for future success. By examining corporate finance from both internal and external perspectives, this HBS Executive Education View Details

  • 2023
  • Article

Provable Detection of Propagating Sampling Bias in Prediction Models

By: Pavan Ravishankar, Qingyu Mo, Edward McFowland III and Daniel B. Neill
With an increased focus on incorporating fairness in machine learning models, it becomes imperative not only to assess and mitigate bias at each stage of the machine learning pipeline but also to understand the downstream impacts of bias across stages. Here we consider... View Details
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Ravishankar, Pavan, Qingyu Mo, Edward McFowland III, and Daniel B. Neill. "Provable Detection of Propagating Sampling Bias in Prediction Models." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 8 (2023): 9562–9569. (Presented at the 37th AAAI Conference on Artificial Intelligence (2/7/23-2/14/23) in Washington, DC.)
  • 2018
  • Working Paper

How Scheduling Can Bias Quality Assessment: Evidence from Food Safety Inspections

By: Maria Ibanez and Michael W. Toffel
Many production processes are subject to inspection to ensure they meet quality, safety, and environmental standards imposed by companies and regulators. Inspection accuracy is critical to inspections being a useful input to assessing risks, allocating quality... View Details
Keywords: Assessment; Bias; Inspection; Scheduling; Econometric Analysis; Empirical Research; Regulation; Health; Food; Safety; Quality; Performance Consistency; Performance Evaluation; Food and Beverage Industry; Food and Beverage Industry
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Ibanez, Maria, and Michael W. Toffel. "How Scheduling Can Bias Quality Assessment: Evidence from Food Safety Inspections." Harvard Business School Working Paper, No. 17-090, April 2017. (Revised October 2018. Formerly titled "Assessing the Quality of Quality Assessment: The Role of Scheduling". Featured in Forbes, Food Safety Magazine, and Food Safety News.)
  • 2010
  • Working Paper

Substitution Patterns of the Random Coefficients Logit

By: Thomas J. Steenburgh and Andrew Ainslie
Previous research suggests that the random coefficients logit is a highly flexible model that overcomes the problems of the homogeneous logit by allowing for differences in tastes across individuals. The purpose of this paper is to show that this is not true. We prove... View Details
Keywords: Decision Choices and Conditions; Mathematical Methods; Behavior; Prejudice and Bias
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Steenburgh, Thomas J., and Andrew Ainslie. "Substitution Patterns of the Random Coefficients Logit." Harvard Business School Working Paper, No. 10-053, January 2010.
  • February 2018
  • Article

Maintaining Beliefs in the Face of Negative News: The Moderating Role of Experience

By: Bradley R. Staats, Diwas S. KC and F. Gino
Many models in operations management involve dynamic decision making that assumes optimal updating in response to information revelation. However, behavioral theory suggests that rather than updating their beliefs, individuals may persevere in their prior beliefs. In... View Details
Keywords: Information; Announcements; Service Operations; Decision Making; Medical Specialties; Experience and Expertise; Medical Devices and Supplies Industry
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Staats, Bradley R., Diwas S. KC, and F. Gino. "Maintaining Beliefs in the Face of Negative News: The Moderating Role of Experience." Management Science 64, no. 2 (February 2018): 804–824.
  • 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
Keywords: AI and Machine Learning; Analytics and Data Science; Prejudice and Bias
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Chang, Peter W., Leor Fishman, and Seth Neel. "Feature Importance Disparities for Data Bias Investigations." Working Paper, March 2023.
  • November 26, 2019
  • Article

Veil-of-Ignorance Reasoning Favors the Greater Good

By: Karen Huang, Joshua D. Greene and Max Bazerman
The “veil of ignorance” is a moral reasoning device designed to promote impartial decision-making by denying decision-makers access to potentially biasing information about who will benefit most or least from the available options. Veil-of-ignorance reasoning was... View Details
Keywords: Policy Making; Procedural Justice; Ethics; Decision Making; Policy; Fairness
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Huang, Karen, Joshua D. Greene, and Max Bazerman. "Veil-of-Ignorance Reasoning Favors the Greater Good." Proceedings of the National Academy of Sciences 116, no. 48 (November 26, 2019).
  • June 2020
  • Article

How Scheduling Can Bias Quality Assessment: Evidence from Food Safety Inspections

By: Maria Ibanez and Michael W. Toffel
Accuracy and consistency are critical for inspections to be an effective, fair, and useful tool for assessing risks, quality, and suppliers—and for making decisions based on those assessments. We examine how inspector schedules could introduce bias that erodes... View Details
Keywords: Assessment; Bias; Inspection; Scheduling; Econometric Analysis; Empirical Research; Regulation; Health; Food; Safety; Quality; Performance Consistency; Governing Rules, Regulations, and Reforms
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Ibanez, Maria, and Michael W. Toffel. "How Scheduling Can Bias Quality Assessment: Evidence from Food Safety Inspections." Management Science 66, no. 6 (June 2020): 2396–2416. (Revised February 2019. Featured in Harvard Business Review, Forbes, Food Safety Magazine, Food Safety News, and KelloggInsight. (2020 MSOM Responsible Research Finalist.))
  • 2017
  • Article

True Happiness: The Role of Morality in the Concept of Happiness

By: Jonathan Phillips, Julian De Freitas, Christian Mott, June Gruber and Joshua Knobe
Recent scientific research has settled on a purely descriptive definition of happiness that is focused solely on agents' psychological states (high positive affect, low negative affect, high life satisfaction). In contrast to this understanding, recent research has... View Details
Keywords: Moral Cognition; Happiness; Moral Sensibility; Emotions; Well-being
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Phillips, Jonathan, Julian De Freitas, Christian Mott, June Gruber, and Joshua Knobe. "True Happiness: The Role of Morality in the Concept of Happiness." Journal of Experimental Psychology: General 146, no. 2 (2017): 165–181.
  • 07 Nov 2023
  • Research & Ideas

When Glasses Land the Gig: Employers Still Choose Workers Who 'Look the Part'

world, where we don’t usually share our pictures when we apply for a job.” However, employers on such platforms may not be particularly well-served by these hunches, which are often rooted in biases and... View Details
Keywords: by Scott Van Voorhis
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