Skip to Main Content
HBS Home
  • About
  • Academic Programs
  • Alumni
  • Faculty & Research
  • Baker Library
  • Giving
  • Harvard Business Review
  • Initiatives
  • News
  • Recruit
  • Map / Directions
Faculty & Research
  • Faculty
  • Research
  • Featured Topics
  • Academic Units
  • …→
  • Harvard Business School→
  • Faculty & Research→
  • Research
    • Research
    • Publications
    • Global Research Centers
    • Case Development
    • Initiatives & Projects
    • Research Services
    • Seminars & Conferences
    →
  • Publications→

Publications

Publications

Filter Results: (287) Arrow Down
Filter Results: (287) Arrow Down Arrow Up

Show Results For

  • All HBS Web  (521)
    • People  (1)
    • News  (140)
    • Research  (287)
    • Events  (2)
    • Multimedia  (11)
  • Faculty Publications  (156)

Show Results For

  • All HBS Web  (521)
    • People  (1)
    • News  (140)
    • Research  (287)
    • Events  (2)
    • Multimedia  (11)
  • Faculty Publications  (156)
Page 1 of 287 Results →
Sort by

Are you looking for?

→Search All HBS Web
  • January 17, 2022
  • Article

Reducing Racial Disparities in Cancer Outcomes

By: Kathy Giusti and Richard G. Hamermesh
A disproportionate number of Black patients die from cancer in the United States. A key to addressing this problem is enrolling more Black patients in clinical trials. A strategy consisting of these three parts can help accomplish this goal: 1) centralize information... View Details
Keywords: Cancer Trials; Racial Disparity; Health Testing and Trials; Race; Strategy
Citation
Read Now
Related
Giusti, Kathy, and Richard G. Hamermesh. "Reducing Racial Disparities in Cancer Outcomes." Harvard Business Review (website) (January 17, 2022).
  • 2017
  • Working Paper

Rethinking Measurement of Pay Disparity and its Relation to Firm Performance

By: Ethan Rouen
I develop measures of firm-level pay disparity and examine their relation to firm accounting performance. Using comprehensive compensation data for a large sample of firms, I find no statistically significant relation between the ratio of CEO-to-mean employee... View Details
Keywords: Pay Disparity; Pay Ratio; CEO Pay Ratio; Income Inequality; Executive Compensation; Wages; Equality and Inequality; Business Ventures; Performance
Citation
SSRN
Read Now
Related
Rouen, Ethan. "Rethinking Measurement of Pay Disparity and its Relation to Firm Performance." Harvard Business School Working Paper, No. 18-007, July 2017.
  • 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
Citation
SSRN
Read Now
Related
Scharfstein, David S., and Sergey Chernenko. "The Limits of Algorithmic Measures of Race in Studies of Outcome Disparities." Working Paper, April 2023.
  • January 2020
  • Article

Rethinking Measurement of Pay Disparity and Its Relation to Firm Performance

By: Ethan Rouen
I develop measures of firm-level pay disparity and examine their relation to firm performance. Using comprehensive compensation data for a large sample of firms, I find no statistically significant relation between the ratio of CEO-to-mean employee compensation and... View Details
Keywords: Pay Disparity; Pay Ratio; CEO Pay Ratio; Income Inequality; Executive Compensation; Employees; Wages; Equality and Inequality; Business Ventures; Performance
Citation
Find at Harvard
Related
Rouen, Ethan. "Rethinking Measurement of Pay Disparity and Its Relation to Firm Performance." Accounting Review 95, no. 1 (January 2020): 343–378.
  • 2021
  • Working Paper

Racial Disparities in the Paycheck Protection Program

By: Sergey Chernenko and David S. Scharfstein
Using a large sample of Florida restaurants, we document significant racial disparities in borrowing through the Paycheck Protection Program (PPP) and investigate the causes of these disparities. Black-owned restaurants are 25% less likely to receive PPP loans.... View Details
Keywords: Discrimination; Paycheck Protection Program; Economic Injury Disaster Loans; Bank Lending; Nonbank Lending; Banks and Banking; Financing and Loans; Prejudice and Bias; Race
Citation
SSRN
Related
Chernenko, Sergey, and David S. Scharfstein. "Racial Disparities in the Paycheck Protection Program." SSRN Working Paper Series, August 2021. (NBER Working Paper Series, No. 29748, February 2022.)
  • October 2024
  • Article

Racial Disparities in the Paycheck Protection Program

By: Sergey Chernenko and David Scharfstein
Using a large sample of Florida restaurants, we document significant racial disparities in borrowing through the Paycheck Protection Program (PPP) and investigate the causes of these disparities. Black-owned restaurants are 25% less likely to receive PPP loans.... View Details
Keywords: Discrimination; Paycheck Protection Program; Economic Injury Disaster Loans; Bank Lending; Nonbank Lending; Banks and Banking; Financing and Loans; Prejudice and Bias; Race
Citation
Read Now
Related
Chernenko, Sergey, and David Scharfstein. "Racial Disparities in the Paycheck Protection Program." Art. 103911. Journal of Financial Economics 160 (October 2024).
  • June 11, 2021
  • Article

Addressing Demographic Disparities in Clinical Trials

By: Kathy Giusti, Richard G. Hamermesh and Mark Krasnow
Disparities in health care are not just limited to the delivery of care. They also exist in the way that clinical trials are structured. Women, people of color, and the elderly often are not adequately represented. This article offers three strategies for addressing... View Details
Keywords: Health Testing and Trials; Demographics
Citation
Find at Harvard
Register to Read
Related
Giusti, Kathy, Richard G. Hamermesh, and Mark Krasnow. "Addressing Demographic Disparities in Clinical Trials." Harvard Business Review Digital Articles (June 11, 2021).
  • July 3, 2025
  • Article

A New Framework for Reducing Healthcare Disparities

By: Susanna Gallani, Mary L. Witkowski, Lidia M. V. R. Moura and Katie Sonnefeldt
Despite decades of initiatives to address healthcare inequities in the U.S., disparities across race, gender, geography, and income remain stubbornly persistent. This article introduces the Strategic Fingerprint Framework for Health Equity, a practical, principle-based... View Details
Keywords: Health Industry
Citation
Related
Gallani, Susanna, Mary L. Witkowski, Lidia M. V. R. Moura, and Katie Sonnefeldt. "A New Framework for Reducing Healthcare Disparities." Harvard Business Review Digital Articles (July 3, 2025).
  • 04 Jan 2021
  • Working Paper Summaries

Hospital Allocation and Racial Disparities in Health Care

Keywords: by Amitabh Chandra, Pragya Kakani, and Adam Sacarny; Health
  • 2020
  • Working Paper

Hospital Allocation and Racial Disparities in Health Care

By: Amitabh Chandra, Pragya Kakani and Adam Sacarny
We develop a simple framework to measure the role of hospital allocation in racial disparities in health care and use it to study Black and white Medicare patients who are treated for heart attacks—a condition where virtually everyone receives care, hospital care is... View Details
Keywords: Health Care and Treatment; Equality and Inequality; Race; Analysis
Citation
Read Now
Related
Chandra, Amitabh, Pragya Kakani, and Adam Sacarny. "Hospital Allocation and Racial Disparities in Health Care." NBER Working Paper Series, No. 28018, November 2020.
  • 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
Citation
Read Now
Related
Chang, Peter W., Leor Fishman, and Seth Neel. "Feature Importance Disparities for Data Bias Investigations." Working Paper, March 2023.
  • 2023
  • Working Paper

Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness

By: Neil Menghani, Edward McFowland III and Daniel B. Neill
In this paper, we develop a new criterion, "insufficiently justified disparate impact" (IJDI), for assessing whether recommendations (binarized predictions) made by an algorithmic decision support tool are fair. Our novel, utility-based IJDI criterion evaluates false... View Details
Keywords: AI and Machine Learning; Forecasting and Prediction; Prejudice and Bias
Citation
Read Now
Related
Menghani, Neil, Edward McFowland III, and Daniel B. Neill. "Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness." Working Paper, June 2023.
  • 11 Aug 2017
  • Working Paper Summaries

Rethinking Measurement of Pay Disparity and Its Relation to Firm Performance

Keywords: by Ethan Rouen
  • Article

Physician–patient Racial Concordance and Disparities in Birthing Mortality for Newborns

By: Brad N. Greenwood, Rachel R. Hardeman, Laura Huang and Aaron Sojourner
Recent work has emphasized the benefits of patient–physician concordance on clinical care outcomes for underrepresented minorities, arguing it can ameliorate outgroup biases, boost communication, and increase trust. We explore concordance in a setting where racial... View Details
Keywords: Racial Bias; Birthing Outcomes; Concordance; Mortality; Health Care and Treatment; Race
Citation
Read Now
Related
Greenwood, Brad N., Rachel R. Hardeman, Laura Huang, and Aaron Sojourner. "Physician–patient Racial Concordance and Disparities in Birthing Mortality for Newborns." Proceedings of the National Academy of Sciences 117, no. 35 (September 1, 2020): 21194–21200.
  • 2023
  • Working Paper

Applications or Approvals: What Drives Racial Disparities in the Paycheck Protection Program?

By: Sergey Chernenko, Nathan Kaplan, Asani Sarkar and David S. Scharfstein
We use the 2020 Small Business Credit Survey to study the sources of racial disparities in use of the Paycheck Protection Program (PPP). Black-owned firms are 8.9 percentage points less likely than observably similar white-owned firms to receive PPP loans. About 55% of... View Details
Keywords: Borrowing and Debt; Small Business; Race; Financing and Loans
Citation
SSRN
Related
Chernenko, Sergey, Nathan Kaplan, Asani Sarkar, and David S. Scharfstein. "Applications or Approvals: What Drives Racial Disparities in the Paycheck Protection Program?" NBER Working Paper Series, No. 31172, April 2023.
  • 2024
  • Conference Paper

Fair Machine Unlearning: Data Removal while Mitigating Disparities

By: Himabindu Lakkaraju, Flavio Calmon, Jiaqi Ma and Alex Oesterling
Citation
Related
Lakkaraju, Himabindu, Flavio Calmon, Jiaqi Ma, and Alex Oesterling. "Fair Machine Unlearning: Data Removal while Mitigating Disparities." 2024.
  • 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... View Details
Keywords: Prejudice and Bias; Mathematical Methods; Research; Analytics and Data Science
Citation
Read Now
Purchase
Related
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.
  • Article

Gender Disparities in Compensation of Practicing Cardiothoracic Surgeons: Analyzing the Society of Thoracic Surgeons Compensation Survey

By: Cherie P. Erkmen, Anastasiia K. Tompkins, Shanda Blackmon, Larry R. Kaiser, Susanna Gallani, Jennifer C. Romano, Thomas MacGillivray and Michael J. Mack
BACKGROUND: Gender-based pay disparity in compensation is widespread. In cardiothoracic surgery, women earn between 71-84% of men’s salaries at comparable ranks. Limited data exist on how factors like subspecialty, practice type, and work efforts contribute to these... View Details
Keywords: Gender; Compensation and Benefits; Equality and Inequality; Experience and Expertise; Health Industry
Citation
Read Now
Related
Erkmen, Cherie P., Anastasiia K. Tompkins, Shanda Blackmon, Larry R. Kaiser, Susanna Gallani, Jennifer C. Romano, Thomas MacGillivray, and Michael J. Mack. "Gender Disparities in Compensation of Practicing Cardiothoracic Surgeons: Analyzing the Society of Thoracic Surgeons Compensation Survey." Annals of Thoracic Surgery (in press). (Pre-published online June 19, 2025.)
  • 2020
  • Working Paper

The Cost of Banking Deserts: Racial Disparities in Access to PPP Lenders and their Equilibrium Implications

By: Jeffrey Wang and David Hao Zhang
Many government support programs for small businesses are designed to pass through banks and credit unions. However, this poses barriers for minority communities that are less connected to financial institutions for obtaining this support. Using the latest program for... View Details
Keywords: Banking Deserts; Minority Communities; Paycheck Protection Program; Banks and Banking; Small Business; Demographics; Race; Government and Politics; Programs
Citation
Read Now
Related
Wang, Jeffrey, and David Hao Zhang. "The Cost of Banking Deserts: Racial Disparities in Access to PPP Lenders and their Equilibrium Implications." Working Paper, December 2020.
  • February 2024
  • Article

Representation and Extrapolation: Evidence from Clinical Trials

By: Marcella Alsan, Maya Durvasula, Harsh Gupta, Joshua Schwartzstein and Heidi L. Williams
This article examines the consequences and causes of low enrollment of Black patients in clinical trials. We develop a simple model of similarity-based extrapolation that predicts that evidence is more relevant for decision-making by physicians and patients when it... View Details
Keywords: Representation; Racial Disparity; Health Testing and Trials; Race; Equality and Inequality; Innovation and Invention; Pharmaceutical Industry
Citation
Find at Harvard
Read Now
Purchase
Related
Alsan, Marcella, Maya Durvasula, Harsh Gupta, Joshua Schwartzstein, and Heidi L. Williams. "Representation and Extrapolation: Evidence from Clinical Trials." Quarterly Journal of Economics 139, no. 1 (February 2024): 575–635.
  • 1
  • 2
  • …
  • 14
  • 15
  • →

Are you looking for?

→Search All HBS Web
ǁ
Campus Map
Harvard Business School
Soldiers Field
Boston, MA 02163
→Map & Directions
→More Contact Information
  • Make a Gift
  • Site Map
  • Jobs
  • Harvard University
  • Trademarks
  • Policies
  • Accessibility
  • Digital Accessibility
Copyright © President & Fellows of Harvard College.