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Publications

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  • All HBS Web  (1,099)
    • News  (185)
    • Research  (762)
    • Events  (8)
    • Multimedia  (14)
  • Faculty Publications  (497)

Show Results For

  • All HBS Web  (1,099)
    • News  (185)
    • Research  (762)
    • Events  (8)
    • Multimedia  (14)
  • Faculty Publications  (497)
← Page 13 of 1,099 Results →
  • 21 Apr 2010
  • Working Paper Summaries

Why Do Firms Use Non-Linear Incentive Schemes? Experimental Evidence on Sorting and Overconfidence

Keywords: by Ian Larkin & Stephen Leider
  • Article

Learning from Potentially Biased Statistics: Household Inflation Perceptions and Expectations in Argentina

By: Alberto Cavallo, Guillermo Cruces and Ricardo Perez-Truglia
When forming expectations, households may be influenced by perceived bias in the information they receive. In this paper, we study how individuals learn from potentially biased statistics using data from both a natural experiment and a survey experiment during a... View Details
Keywords: Inflation Expectations; Bayesian Estimation; Inflation and Deflation; Information; Household; Behavior; Argentina
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Cavallo, Alberto, Guillermo Cruces, and Ricardo Perez-Truglia. "Learning from Potentially Biased Statistics: Household Inflation Perceptions and Expectations in Argentina." Brookings Papers on Economic Activity (Spring 2016): 59–108.
  • 2025
  • Working Paper

Discrimination, Rejection, and Job Search

By: Anne Boring, Katherine Coffman, Dylan Glover and María José González-Fuentes
We investigate how candidates’ willingness to apply responds to (potential) discrimination and rejection using a simulated labor market. Past work has shown that “blinding” job applications reduces discrimination and increases the rate at which women are hired. Our... View Details
Keywords: Job Search; Prejudice and Bias; Selection and Staffing; Demographics
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Boring, Anne, Katherine Coffman, Dylan Glover, and María José González-Fuentes. "Discrimination, Rejection, and Job Search." Working Paper, February 2025.
  • January 2025
  • Module Note

Understanding and Addressing Gender Gaps

By: Katherine Coffman
This module provides a framework for students to analyze how gender stereotypes, through their impact on beliefs about others and beliefs about ourselves, contribute to gender gaps in the workplace. The module proceeds in three parts. First, through a case and an... View Details
Keywords: Decisions; Gender; Leadership; Management Practices and Processes; Prejudice and Bias
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Coffman, Katherine. "Understanding and Addressing Gender Gaps." Harvard Business School Module Note 925-021, January 2025.
  • December 2020 (Revised April 2021)
  • Teaching Note

Women Entrepreneurs and Tech Ecosystems: One City, Two Realities, and Four Diverse Women

By: Rosabeth Moss 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: Women; Racism; Black Entrepreneurs; Entrepreneurship; Diversity; Gender; Race; Prejudice and Bias; Innovation and Invention; City; Culture; Miami
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Kanter, Rosabeth Moss, and Joyce J. Kim. "Women Entrepreneurs and Tech Ecosystems: One City, Two Realities, and Four Diverse Women." Harvard Business School Teaching Note 321-103, December 2020. (Revised April 2021.)
  • October 2019
  • Case

Harlem Capital: Changing the Face of Entrepreneurship (A)

By: George Serafeim
Jarrid Tingle and Henri Pierre-Jacques had spent the summer between their first and second years of their Harvard Business School MBA program fund raising for their start-up venture capital (VC) firm, Harlem Capital Partners. Harlem Capital was founded upon the... View Details
Keywords: Impact Investing; Gender Bias; Gender Inequality; Minority Representation; Entrepreneurial Finance; Investment Management; Investing; Inequality; Race And Ethnicity; Black Entrepreneurs; Black Inventors; Black Leadership; Venture Investing; Fund Raising; Venture Capital; Entrepreneurship; Diversity; Gender; Race; Equality and Inequality; Equity; Mission and Purpose; Investment Funds; Financial Services Industry; United States
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Serafeim, George, and David Freiberg. "Harlem Capital: Changing the Face of Entrepreneurship (A)." Harvard Business School Case 120-040, October 2019.
  • October 2019
  • Supplement

Harlem Capital: Changing the Face of Entrepreneurship (B)

By: George Serafeim
The (B) case describes Tingle and Pierre-Jacques’ decision to commit fully to Harlem Capital as their post-graduation job. The case explores the results of their fundraising efforts, new strategic partnerships, and how they plan to “build the market” in order to... View Details
Keywords: Impact Investing; Gender Bias; Gender Inequality; Minority Representation; Entrepreneurial Finance; Investment Management; Investing; Inequality; Venture Capital; Entrepreneurship; Diversity; Gender; Equality and Inequality; Equity; Mission and Purpose; Investment Funds; Financial Services Industry
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Serafeim, George, and David Freiberg. "Harlem Capital: Changing the Face of Entrepreneurship (B)." Harvard Business School Supplement 120-041, October 2019.
  • 21 Mar 2012
  • Op-Ed

Finding the Right Jeremy Lin Storyline

around his identity. Is he an underdog or is he privileged? Does he fit in with the NBA or doesn't he? Here are some of the stories we miss in the storylines we do embrace. The Basketball is Black Story: If the story is one of ethnic View Details
Keywords: by Lakshmi Ramarajan; Entertainment & Recreation
  • 2017
  • Blitz Discussions

Of Margins and Modalities

  • October 2020 (Revised April 2021)
  • Case

Women Entrepreneurs and Tech Ecosystems: One City, Two Realities, and Four Diverse Women

By: Rosabeth Moss 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: Female Entrepreneur; Entrepreneurial Ecosystems; Inclusion; Innovation & Entrepreneurship; Racism; Sexism; Start-up; Entrepreneurship; Business Startups; Diversity; Gender; Race; Prejudice and Bias; Innovation and Invention; City; Culture; Miami
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Kanter, Rosabeth Moss, and Joyce J. Kim. "Women Entrepreneurs and Tech Ecosystems: One City, Two Realities, and Four Diverse Women." Harvard Business School Case 321-083, October 2020. (Revised April 2021.)
  • 2017
  • Blitz Discussions

Of Margins and Modalities

  • July 2019
  • Teaching Note

Arlan Hamilton and Backstage Capital

By: Laura Huang
Teaching Note for HBS No. 419-029. Frustrated by an inability to convince existing venture capital firms to invest in companies led by women, people of color, and LGBT founders, Arlan Hamilton started her own firm, Backstage Capital, in 2015. Hamilton understood the... View Details
Keywords: Black Leadership; LGBTQ; People Of Color; Entrepreneurship; Mission and Purpose; Venture Capital; Corporate Social Responsibility and Impact; Identity; Personal Characteristics; Prejudice and Bias; Social Issues; Diversity; Gender; Race
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Huang, Laura. "Arlan Hamilton and Backstage Capital." Harvard Business School Teaching Note 420-010, July 2019.
  • 01 Aug 2020
  • News

"In a Hurry from a Young Age"

Keywords: women in business; gender bias; healthcare; change leadership; gender diversity; workplace diversity; New Zealand
  • 2016
  • Working Paper

Who Pays for White-Collar Crime?

By: Paul Healy and George Serafeim
Using a proprietary dataset of 667 companies around the world that experienced white-collar crime, we investigate what drives punishment of perpetrators of crime. We find a significantly lower propensity to punish crime in our sample, where most crimes are not reported... View Details
Keywords: Crime; Gender Bias; Women; Women Executives; Corruption; Legal Aspects Of Business; Firing; Human Capital; Human Resource Management; Prejudice and Bias; Crime and Corruption; Judgments; Law Enforcement; Human Resources; Corporate Governance; Gender
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Healy, Paul, and George Serafeim. "Who Pays for White-Collar Crime?" Harvard Business School Working Paper, No. 16-148, June 2016.
  • 17 Nov 2016
  • Op-Ed

What's Behind the Unexpected Trump Support from Women

Before last week’s election, polls and pundits suggested that Donald Trump’s presidential campaign was doomed to failure, because it could not attract enough votes from women, who saw him as a misogynist—and worse. Conventional wisdom... View Details
Keywords: by Laura Morgan Roberts and Robin Ely
  • November 2024
  • Article

Preference Externality Estimators: A Comparison of Border Approaches and IVs

By: Xi Ling, Wesley R. Hartmann and Tomomichi Amano
This paper compares two estimators—the Border Approach and an Instrumental Variable (IV) estimator—using a unified framework where identifying variation arises from “preference externalities,” following the intuition in Waldfogel (2003). We highlight two dimensions in... View Details
Keywords: Econometrics; Casual Inference; Marketing; Economics; Advertising; Mathematical Methods
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Ling, Xi, Wesley R. Hartmann, and Tomomichi Amano. "Preference Externality Estimators: A Comparison of Border Approaches and IVs." Management Science 70, no. 11 (November 2024): 7892–7910.
  • September 2016
  • Article

Whitened Résumés: Race and Self-Presentation in the Labor Market

By: Sonia K. Kang, K. A. DeCelles, András Tilcsik and Sora Jun
Using interviews, a laboratory experiment, and a résumé audit study, we examine racial minorities’ attempts to avoid anticipated discrimination in labor markets by concealing or downplaying racial cues in job applications, a practice known as "résumé whitening."... View Details
Keywords: Prejudice and Bias; Selection and Staffing; Job Search; Race
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Kang, Sonia K., K. A. DeCelles, András Tilcsik, and Sora Jun. "Whitened Résumés: Race and Self-Presentation in the Labor Market." Administrative Science Quarterly 61, no. 3 (September 2016): 469–502.
  • Forthcoming
  • Chapter

Racism, Causal Explanations, and Affirmative Action

By: Theresa K. Vescio, Amy Cuddy, Faye Crosby and Kevin Weaver
BOOK ABSTRACT: In recent decades, research in political psychology has illuminated the psychological processes underlying important political action, both by ordinary citizens and by political leaders. As the world has become increasingly engaged in thinking about... View Details
Keywords: Prejudice and Bias; Race; Complexity
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Vescio, Theresa K., Amy Cuddy, Faye Crosby, and Kevin Weaver. "Racism, Causal Explanations, and Affirmative Action." Chap. 11 in Political Psychology: New Explorations, edited by Jon A. Krosnick, I-Chant Chiang, and Tobias H. Stark, 419–445. Frontiers of Social Psychology. New York: Routledge, 2016.
  • Forthcoming
  • Article

Human-Algorithm Collaboration with Private Information: Naïve Advice Weighting Behavior and Mitigation

By: Maya Balakrishnan, Kris Ferreira and Jordan Tong
Even if algorithms make better predictions than humans on average, humans may sometimes have private information which an algorithm does not have access to that can improve performance. How can we help humans effectively use and adjust recommendations made by... View Details
Keywords: AI and Machine Learning; Analytics and Data Science; Forecasting and Prediction; Digital Marketing
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Balakrishnan, Maya, Kris Ferreira, and Jordan Tong. "Human-Algorithm Collaboration with Private Information: Naïve Advice Weighting Behavior and Mitigation." Management Science (forthcoming). (Pre-published online March 24, 2025.)
  • February 2006
  • Article

Mixed Motives and Racial Bias: The Impact of Legitimate and Illegitimate Criteria on Decision-making.

By: Michael I. Norton, Samuel R. Sommers, Joseph A. Vandello and John M. Darley
Keywords: Motivation and Incentives; Prejudice and Bias; Decision Making
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Norton, Michael I., Samuel R. Sommers, Joseph A. Vandello, and John M. Darley. "Mixed Motives and Racial Bias: The Impact of Legitimate and Illegitimate Criteria on Decision-making." Psychology, Public Policy, and Law 12, no. 1 (February 2006): 36–55.
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