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  • All HBS Web  (495)
    • People  (1)
    • News  (142)
    • Research  (286)
    • Events  (2)
    • Multimedia  (11)
  • Faculty Publications  (149)

Show Results For

  • All HBS Web  (495)
    • People  (1)
    • News  (142)
    • Research  (286)
    • Events  (2)
    • Multimedia  (11)
  • Faculty Publications  (149)
Page 1 of 495 Results →
  • 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
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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
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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
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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.
  • 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
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Rouen, Ethan. "Rethinking Measurement of Pay Disparity and Its Relation to Firm Performance." Accounting Review 95, no. 1 (January 2020): 343–378.
  • 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
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Chernenko, Sergey, and David Scharfstein. "Racial Disparities in the Paycheck Protection Program." Art. 103911. Journal of Financial Economics 160 (October 2024).

    Racial Disparities in the Paycheck Protection Program

    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
    • 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
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    Giusti, Kathy, Richard G. Hamermesh, and Mark Krasnow. "Addressing Demographic Disparities in Clinical Trials." Harvard Business Review Digital Articles (June 11, 2021).
    • 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.)
    • 02 Mar 2023
    • Video

    Perspectives from Capital Creators: Drivers of Disparity

    • 22 Jan 2022
    • News

    Can Wealth Disparity Be Fixed?

    • 04 Jan 2021
    • Working Paper Summaries

    Hospital Allocation and Racial Disparities in Health Care

    Keywords: by Amitabh Chandra, Pragya Kakani, and Adam Sacarny; Health
    • 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.
    • 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
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    Chandra, Amitabh, Pragya Kakani, and Adam Sacarny. "Hospital Allocation and Racial Disparities in Health Care." NBER Working Paper Series, No. 28018, November 2020.

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

      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 to receive PPP loans than observably similar white-owned firms. About... View Details
      • 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
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      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
      • 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.
      • 22 Apr 2017
      • News

      Survey Roundup: Gender Disparity on Boardroom Diversity

      • 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.
      • 30 Jan 2024
      • News

      STS Survey Identifies Stark Gender Disparities in Compensation

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