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Laws now exist to protect employees from blatant forms of discrimination in hiring and promotion, but workplace discrimination persists in latent...
In an experiment on Airbnb, we find that applications from guests with distinctively African-American names are 16% less likely to be accepted...
- June 2021
- Article
The Role of Beliefs in Driving Gender Discrimination
By: Katherine B. Coffman, Christine L. Exley and Muriel Niederle
While there is ample evidence of discrimination against women in the workplace, it can be difficult to understand what factors contribute to discriminatory behavior. We use an experiment to both document discrimination and unpack its sources. First, we show that, on...
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- May 2021
- Teaching Note
Megan Ming Francis: Leadership and Racial Injustice
In this multimedia case, Megan Ming Francis, a professor in the Department of Political Science at the University of Washington (UW) and a visiting professor at the Harvard Kennedy School, discusses the roots of racial injustice and the need for change. Through...
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- May–June 2021
- Article
How to Close the Gender Gap
By: Colleen Ammerman and Boris Groysberg
Most companies say they’re committed to advancing women into leadership roles. What they may fail to recognize, though, is that systemic barriers are holding women back. As a result, women remain disadvantaged at every stage of their employment and underrepresented in...
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- 2021
- Working Paper
Venture Capital's 'Me Too' Moment
By: Sophie Calder-Wang, Paul A. Gompers and Patrick Sweeney
In this paper, we document the historically low rate of hiring of women in the venture capital sector. We find that the high-profile Ellen Pao v. Kleiner Perkins gender discrimination trial had dramatic treatment effects. In difference-in-differences regressions, we...
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- March 2021
- Supplement
Artea (A), (B), (C), and (D): Designing Targeting Strategies
By: Eva Ascarza and Ayelet Israeli
Power Point Supplement to Teaching Note for HBS No. 521-021,521-022,521-037,521-043. This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on...
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- March 2021
- Teaching Plan
The Black New Venture Competition
Black entrepreneurs encounter many unique obstacles when raising capital to start and grow a business, some stemming from deep systemic discrimination. During their second year at Harvard Business School (HBS), MBA students Kimberly Foster and Tyler Simpson decided to...
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Keywords:
Analytics;
Startup;
Start-up;
Startup Financing;
Financing;
Startups;
Start-ups;
Business And Community;
Business And Society;
Business Growth;
Discrimination;
Women;
Women-owned Businesses;
African Americans;
African-american Entrepreneurs;
African-american Investors;
African-American Protagonist;
African-American Women;
Early Stage Funding;
Early Stage;
Innovation ＆ Entrepreneurship;
Innovation Competitions;
Entrepreneurial Financing;
Business Plan;
Business Startups;
Diversity;
Gender;
Race;
Entrepreneurship;
Venture Capital;
Small Business;
Leadership;
Technology;
Competition
- 2021
- Working Paper
Information Spillovers in Experience Goods Competition
By: Zhuoqiong Charlie Chen, Christopher Stanton and Catherine Thomas
When experience goods compete, consuming one product can be informative about value for similar untried products. We study a two-period model of duopoly competition in markets that have this feature and where firms can price discriminate between consumers based on...
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- 2021
- Working Paper
Dynamic Competition for Customer Memberships
By: Cristian Chica and Jorge Tamayo
A competitive two-period membership (subscription) market is analyzed. Two symmetric firms charge a “membership” fee that allows consumers to buy products or services at a given unit price for both periods. Firms can choose between long- or short-term memberships. When...
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- September 2020
- Case
The Black New Venture Competition
Black entrepreneurs encounter many unique obstacles when raising capital to start and grow a business. During their second year at Harvard Business School (HBS), MBA students Kimberly Foster and Tyler Simpson decided to do something to make a difference for...
View Details
Keywords:
Startup;
Start-up;
Startup Financing;
Startups;
Start-ups;
African-American Protagonist;
African-american Entrepreneurs;
African-american Investors;
African-Americans;
African-American Women;
Black Leadership;
Black Inventors;
Black Entrepreneurs;
Harvard Business School;
Harvard;
Business And Society;
Early Stage Funding;
Early Stage Finance;
Technology Entrepreneurship;
Discrimination;
Technology Ventures;
Entrepreneurial Finance;
Entrepreneurial Financing;
Business Plan;
Business Startups;
Business Ventures;
Financing and Loans;
Business Growth and Maturation;
Diversity;
Gender;
Race;
Entrepreneurship;
Venture Capital;
Small Business;
Leadership;
Technology;
Competition;
Technology Industry
- September 2020
- Technical Note
Algorithmic Bias in Marketing
By: Ayelet Israeli and Eva Ascarza
This note focuses on algorithmic bias in marketing. First, it presents a variety of marketing examples in which algorithmic bias may occur. The examples are organized around the 4 P’s of marketing – promotion, price, place and product—characterizing the marketing...
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Keywords:
Algorithmic Data;
Race And Ethnicity;
Promotion;
＂Marketing Analytics＂;
Marketing And Society;
Big Data;
Privacy;
Data-driven Management;
Data Analysis;
Data Analytics;
E-Commerce Strategy;
E-commerce;
Discrimination;
Targeting;
Targeted Advertising;
Pricing Algorithms;
Ethical Decision Making;
Customer Heterogeneity;
Marketing;
Race;
Ethnicity;
Gender;
Diversity;
Prejudice and Bias;
Marketing Communications;
Data and Data Sets;
Analysis;
Decision Making;
Ethics;
Customer Relationship Management;
Retail Industry;
Apparel and Accessories Industry;
United States
- September 2020 (Revised December 2020)
- Teaching Note
Artea (A), (B), (C), and (D): Designing Targeting Strategies
By: Eva Ascarza and Ayelet Israeli
Teaching Note for HBS No. 521-021,521-022,521-037,521-043. This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and...
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- September 2020 (Revised April 2021)
- Exercise
Artea (B): Including Customer-level Demographic Data
By: Eva Ascarza and Ayelet Israeli
This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The...
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- September 2020 (Revised April 2021)
- Exercise
Artea (C): Potential Discrimination through Algorithmic Targeting
By: Eva Ascarza and Ayelet Israeli
This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The...
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- September 2020 (Revised March 2021)
- Exercise
Artea (D): Discrimination through Algorithmic Bias in Targeting
By: Eva Ascarza and Ayelet Israeli
This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The...
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- September 2020 (Revised April 2021)
- Exercise
Artea: Designing Targeting Strategies
By: Eva Ascarza and Ayelet Israeli
This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The...
View Details
Keywords:
Algorithmic Data;
Race And Ethnicity;
Experimentation;
Promotion;
＂Marketing Analytics＂;
Marketing And Society;
Big Data;
Privacy;
Data-driven Management;
Data Analytics;
Data Analysis;
E-commerce;
E-Commerce Strategy;
Discrimination;
Targeted Advertising;
Targeted Policies;
Targeting;
Pricing Algorithms;
A/B Testing;
Ethical Decision Making;
Customer Base Analysis;
Customer Heterogeneity;
Coupons;
Marketing;
Race;
Gender;
Diversity;
Customer Relationship Management;
Marketing Communications;
Advertising;
Decision Making;
Ethics;
Retail Industry;
Apparel and Accessories Industry;
United States
- September 2020
- Supplement
Spreadsheet Supplement to Artea (B) and (C)
By: Eva Ascarza and Ayelet Israeli
Spreadsheet Supplement to "Artea (B): Including Customer-level Demographic Data" and "Artea (C): Potential Discrimination through Algorithmic Targeting"
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- September 2020 (Revised March 2021)
- Supplement
Spreadsheet Supplement to Artea Teaching Note
By: Eva Ascarza and Ayelet Israeli
Spreadsheet Supplement to Artea Teaching Note 521-041. This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and...
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- 2020
- Working Paper
(When) Does Appearance Matter? Evidence from a Randomized Controlled Trial
By: Prithwiraj Choudhury, Tarun Khanna, Christos A. Makridis and Subhradip Sarker
While there is evidence about labor market discrimination based on race, religion, and gender, we know little about whether physical appearance leads to discrimination in labor market outcomes. We deploy a randomized experiment on 1,000 respondents in India between...
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- 2021
- Working Paper
State Capacity and Discrimination: WWII U.S. Army Enlistment
By: Nancy Qian and Marco Tabellini
This paper documents that disenfranchisement and discrimination discouraged WWII volunteer military participation of African American men, relative to Caucasian men, after the Pearl Harbor attack. The race-gap in volunteer enlistment is most pronounced in regions where...
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- 2020
- Working Paper
The Pursuit of Passion Propagates Privilege
By: Josephine Tan and Jon M. Jachimowicz
For many graduating college students entering the workforce, “pursue your passion” is not only a frequently repeated graduation mantra but also a commonly embraced ideal. In line with this view, prior academic research finds that passion connotes work-related benefits,...
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