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- Faculty Publications (324)
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- 2022
- Working Paper
Politics at Work
By: Emanuele Colonnelli, Valdemar Pinho Neto and Edoardo Teso
We study how individual political views shape firm behavior and labor market outcomes. Using new micro-data on the political affiliation of business owners and private-sector workers in Brazil over the 2002–2019 period, we first document the presence of political...
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Colonnelli, Emanuele, Valdemar Pinho Neto, and Edoardo Teso. "Politics at Work." Working Paper, December 2022.
- November 2022
- Technical Note
Leader Action Orientations
By: Ryan Raffaelli, Akshaya Varghese and Laura Weimer
Leaders are responsible for planning and executing actions that advance organizational goals. As individuals gain career experience, they tend to develop and rely on implicit mental models that shape how they go about “getting things done.” Without knowing it, most...
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Keywords:
Leadership Development;
Prejudice and Bias;
Cognition and Thinking;
Decision Making;
Behavior
Raffaelli, Ryan, Akshaya Varghese, and Laura Weimer. "Leader Action Orientations." Harvard Business School Technical Note 423-050, November 2022.
- November 11, 2022
- Editorial
Finally Companies Have to Be Upfront about Job Pay Ranges
The significance of pay transparency laws is their role in moving American workplaces away from bias and closer to equal opportunity.
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Keywords:
Pay;
Salary;
Pay Gap;
Transparency;
Wages;
Compensation and Benefits;
Recruitment;
Equality and Inequality
Kanter, Rosabeth Moss. "Finally Companies Have to Be Upfront about Job Pay Ranges." CNN.com (November 11, 2022). (Opinion.)
- November 2022
- Article
Hate Crime Towards Minoritized Groups Increases as They Increase in Sized-Based Rank
By: Mina Cikara, Vasiliki Fouka and Marco Tabellini
People are on the move in unprecedented numbers within and between countries. How does demographic change affect local intergroup dynamics? In complement to accounts that emphasize stereotypical features of groups as determinants of their treatment, we propose the...
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Keywords:
Prejudice;
Minority;
Hate Crimes;
Reference Dependence;
Prejudice and Bias;
Attitudes;
Demographics
Cikara, Mina, Vasiliki Fouka, and Marco Tabellini. "Hate Crime Towards Minoritized Groups Increases as They Increase in Sized-Based Rank." Nature Human Behaviour 6, no. 11 (November 2022): 1537–1544. (Pre-Published online August 8, 2022, Featured in HBS Working Knowledge and ABC News.)
- October 2022
- Case
Colette Phillips and GetKonnected!: Creating Inclusive Ecosystems
By: Rosabeth Moss Kanter, Amy Chiu and Joyce Kim
Colette Phillips’ marketing firm had just won the City of Boston’s 2nd largest contract in history to a Black-owned company. During the Covid-19 pandemic, Get Konnected!, the networking organization for people of color that she founded 15 years earlier and led to...
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Keywords:
Diversity;
Ecosystem;
Inclusion;
People Of Color;
Network;
Racial Bias;
Gender Bias;
Entrepreneurial Ecosystem;
Entrepreneur;
Change;
Change Barriers;
Change Leadership;
Community;
Innovation;
Pandemic;
Impact;
Systemic Racism;
Minority-owned Businesses;
Social and Collaborative Networks;
Equity;
Race;
Small Business;
Prejudice and Bias;
Boston
Kanter, Rosabeth Moss, Amy Chiu, and Joyce Kim. "Colette Phillips and GetKonnected!: Creating Inclusive Ecosystems." Harvard Business School Case 323-035, October 2022.
- October 10, 2022
- Article
Ensuring Your Products Aren’t Used for Discrimination
By: Michael Luca, Elizaveta Pronkina and Michaelangelo Rossi
Discrimination is both a societal and a business issue. And, the extent to which discrimination is allowed to affect a company is a decision that is made by business leaders. Fortunately, there is a growing toolkit for leaders who want to create a more inclusive...
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Luca, Michael, Elizaveta Pronkina, and Michaelangelo Rossi. "Ensuring Your Products Aren’t Used for Discrimination." Harvard Business Review Digital Articles (October 10, 2022).
- 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...
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Keywords:
Machine Learning;
Econometric Analysis;
Instrumental Variable;
Random Forest;
Causal Inference;
AI and Machine Learning;
Forecasting and Prediction
Yang, Mochen, Edward McFowland III, Gordon Burtch, and Gediminas Adomavicius. "Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem." INFORMS Journal on Data Science 1, no. 2 (October–December 2022): 138–155.
- September 16, 2022
- Article
3 Workplace Biases that Derail Mid-Career Women
By: Colleen Ammerman and Boris Groysberg
Mid-career women are often surprised by the levels of bias and discrimination they encounter in the workplace, especially if they’ve successfully avoided it earlier in their careers. After speaking to 100 senior women executives, the authors identified three distinct...
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Ammerman, Colleen, and Boris Groysberg. "3 Workplace Biases that Derail Mid-Career Women." Harvard Business Review (website) (September 16, 2022).
- August 13, 2022
- Article
A Historic Opportunity for Universal Health Coverage in India
By: Vikram Patel, Shubhangi Bhadada, Kiran Mazumdar-Shaw, Arnab Mukherji, Tarun Khanna and Gagandeep Kang
The milestone of India's 75th anniversary of independence on Aug 15, 2022, offers an opportunity to reassert the country's commitment to realising universal health coverage (UHC). The first such effort predates independence, with the 1946 Bhore Committee report....
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Keywords:
Universal Health Coverage;
COVID-19 Pandemic;
Health Care and Treatment;
Gender;
Prejudice and Bias;
Health Industry;
India
Patel, Vikram, Shubhangi Bhadada, Kiran Mazumdar-Shaw, Arnab Mukherji, Tarun Khanna, and Gagandeep Kang. "A Historic Opportunity for Universal Health Coverage in India." Lancet 400, no. 10351 (August 13, 2022): 475–477.
- 2023
- Working Paper
Scapegoating and Discrimination in Times of Crisis: Evidence from Airbnb
By: Michael Luca, Elizaveta Pronkina and Michelangelo Rossi
We present evidence that discrimination against Asian-American Airbnb users sharply increased at the
start of the COVID-19 pandemic. Using a DiD approach, we find that hosts with distinctively Asian
names experienced a 20 percent decline in guests relative to hosts...
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Keywords:
Discrimination;
Behavioral Economics;
Market Design;
Health Pandemics;
Prejudice and Bias;
Digital Platforms;
Design
Luca, Michael, Elizaveta Pronkina, and Michelangelo Rossi. "Scapegoating and Discrimination in Times of Crisis: Evidence from Airbnb." Harvard Business School Working Paper, No. 23-012, August 2022. (Revised March 2023.)
- 2022
- Working Paper
The Impact of the Chinese Exclusion Act on the U.S. Economy
By: Joe Long, Carlo Medici, Nancy Qian and Marco Tabellini
This paper studies the impact of the Chinese Exclusion Act, which banned Chinese immigration to the United States after 1882, across U.S. counties between 1870 and 1940. We find that the Act reduced labor supply for both the Chinese and other groups (i.e., white and...
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Keywords:
Immigration;
Growth;
Productivity;
Business History;
Economic Slowdown and Stagnation;
Business and Government Relations;
Prejudice and Bias;
Government Legislation;
United States
Long, Joe, Carlo Medici, Nancy Qian, and Marco Tabellini. "The Impact of the Chinese Exclusion Act on the U.S. Economy." Harvard Business School Working Paper, No. 23-008, March 2022.
- 2022
- Article
Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations
By: Jessica Dai, Sohini Upadhyay, Ulrich Aivodji, Stephen Bach and Himabindu Lakkaraju
As post hoc explanation methods are increasingly being leveraged to explain complex models in high-stakes settings, it becomes critical to ensure that the quality of the resulting explanations is consistently high across all subgroups of a population. For instance, it...
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Dai, Jessica, Sohini Upadhyay, Ulrich Aivodji, Stephen Bach, and Himabindu Lakkaraju. "Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (2022): 203–214.
- July 2022
- Case
A Soul and a Service: North Carolina Mutual Life Insurance
By: Tom Nicholas and John Masko
The North Carolina Mutual and Provident Association (the Mutual) was founded in 1898 as a for-profit entity selling life insurance catering to the Black community. The Mutual was entering a field crowded with established White-owned competitors that largely refused to...
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Keywords:
Black Entrepreneurs;
Insurance;
History;
Race;
Prejudice and Bias;
Entrepreneurship;
Decision Choices and Conditions;
Growth and Development Strategy;
Insurance Industry;
United States
Nicholas, Tom, and John Masko. "A Soul and a Service: North Carolina Mutual Life Insurance." Harvard Business School Case 823-032, July 2022.
- 2022
- Working Paper
Confidence, Self-Selection and Bias in the Aggregate
By: Benjamin Enke, Thomas Graeber and Ryan Oprea
The influence of behavioral biases on aggregate outcomes like prices and allocations depends in part on self-selection: whether rational people opt more strongly into aggregate interactions than biased individuals. We conduct a series of betting market, auction and...
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Enke, Benjamin, Thomas Graeber, and Ryan Oprea. "Confidence, Self-Selection and Bias in the Aggregate." NBER Working Paper Series, No. 30262, July 2022.
- 2022
- Chapter
Redirecting Rawlsian Reasoning Toward the Greater Good
By: Joshua D. Greene, Karen Huang and Max Bazerman
In A Theory of Justice, John Rawls employed the ‘veil of Ignorance’ as a moral reasoning device designed to promote impartial thinking. By imagining the choices of decision-makers who are blind to biasing information, one might see more clearly the organizing...
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Greene, Joshua D., Karen Huang, and Max Bazerman. "Redirecting Rawlsian Reasoning Toward the Greater Good." Chap. 15 in The Oxford Handbook of Moral Psychology, edited by Manuel Vargas and John M. Doris, 246–261. Oxford, UK: Oxford University Press, 2022.
- June 18, 2022
- Article
In Defense of Online Anonymity
By: Michael Luca
Lack of transparency on the internet may help fuel toxic dialogue, but it also encourages honest feedback and protects people against discrimination
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Luca, Michael. "In Defense of Online Anonymity." Wall Street Journal (June 18, 2022).
- June 2022
- Article
Conservatism Gets Funded? A Field Experiment on the Role of Negative Information in Novel Project Evaluation
By: Jacqueline N. Lane, Misha Teplitskiy, Gary Gray, Hardeep Ranu, Michael Menietti, Eva C. Guinan and Karim R. Lakhani
The evaluation and selection of novel projects lies at the heart of scientific and technological innovation, and yet there are persistent concerns about bias, such as conservatism. This paper investigates the role that the format of evaluation, specifically information...
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Keywords:
Project Evaluation;
Innovation;
Knowledge Frontier;
Information Sharing;
Negativity Bias;
Projects;
Innovation and Invention;
Information;
Knowledge Sharing
Lane, Jacqueline N., Misha Teplitskiy, Gary Gray, Hardeep Ranu, Michael Menietti, Eva C. Guinan, and Karim R. Lakhani. "Conservatism Gets Funded? A Field Experiment on the Role of Negative Information in Novel Project Evaluation." Management Science 68, no. 6 (June 2022): 4478–4495.
- 2022
- Working Paper
Are Experts Blinded by Feasibility?: Experimental Evidence from a NASA Robotics Challenge
By: Jacqueline N. Lane, Zoe Szajnfarber, Jason Crusan, Michael Menietti and Karim R. Lakhani
Resource allocation decisions play a dominant role in shaping a firm’s technological trajectory and competitive advantage. Recent work indicates that innovative firms and scientific institutions tend to exhibit an anti-novelty bias when evaluating new projects and...
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Keywords:
Evaluations;
Novelty;
Feasibility;
Field Experiment;
Resource Allocation;
Technological Innovation;
Competitive Advantage;
Decision Making
Lane, Jacqueline N., Zoe Szajnfarber, Jason Crusan, Michael Menietti, and Karim R. Lakhani. "Are Experts Blinded by Feasibility? Experimental Evidence from a NASA Robotics Challenge." Harvard Business School Working Paper, No. 22-071, May 2022.
- May 2022 (Revised April 2023)
- Case
LOOP: Driving Change in Auto Insurance Pricing
By: Elie Ofek and Alicia Dadlani
John Henry and Carey Anne Nadeau, co-founders and co-CEOs of LOOP, an insurtech startup based in Austin, Texas, were on a mission to modernize the archaic $250 billion automobile insurance market. They sought to create equitably priced insurance by eliminating pricing...
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Keywords:
AI and Machine Learning;
Technological Innovation;
Equality and Inequality;
Prejudice and Bias;
Growth and Development Strategy;
Customer Relationship Management;
Price;
Insurance Industry;
Financial Services Industry
Ofek, Elie, and Alicia Dadlani. "LOOP: Driving Change in Auto Insurance Pricing." Harvard Business School Case 522-073, May 2022. (Revised April 2023.)
- May 2022
- Case
Timnit Gebru: 'SILENCED No More' on AI Bias and The Harms of Large Language Models
By: Tsedal Neeley and Stefani Ruper
Dr. Timnit Gebru—a leading artificial intelligence (AI) computer scientist and co-lead of Google’s Ethical AI team—was messaging with one of her colleagues when she saw the words: “Did you resign?? Megan sent an email saying that she accepted your resignation.” Heart...
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Neeley, Tsedal, and Stefani Ruper. "Timnit Gebru: 'SILENCED No More' on AI Bias and The Harms of Large Language Models." Harvard Business School Case 422-085, May 2022.