Filter Results
:
(583)
Show Results For
-
All HBS Web
(1,374)
- Faculty Publications (583)
Show Results For
-
All HBS Web
(1,374)
- Faculty Publications (583)
Metrics →
- January 2023
- Case
Baofeng's Philanthropic Efforts in China
By: Lauren Cohen, Hao Gao, Bo Li and Zhaoheng Gong
Yanbao Dang, President of Baofeng Group and founder of the Yanbao Foundation, Baofeng Group’s philanthropic arm, weighed how the family nonprofit could maximize its impact. On a mission to eliminating poverty through broadening access to educational opportunities in...
View Details
- January 2023
- Case
Year Up: Measuring and Scaling Impact
Year Up, a non-profit that provides training and practical work experience to low-income young people, has for years prioritized impact measurement. By 2022, it had built a robust body of evidence demonstrating that its program yields higher earnings for participants....
View Details
Keywords:
Demographics;
Education;
Jobs and Positions;
Measurement and Metrics;
Performance;
Research;
Social Enterprise;
Growth Management;
Education Industry;
United States;
Massachusetts;
Boston
Rigol, Natalia, Benjamin N. Roth, Brian Trelstad, and Sarah Mehta. "Year Up: Measuring and Scaling Impact." Harvard Business School Case 823-004, January 2023.
- 2023
- Article
Evaluating Explainability for Graph Neural Networks
By: Chirag Agarwal, Owen Queen, Himabindu Lakkaraju and Marinka Zitnik
As explanations are increasingly used to understand the behavior of graph neural networks (GNNs), evaluating the quality and reliability of GNN explanations is crucial. However, assessing the quality of GNN explanations is challenging as existing graph datasets have no...
View Details
Keywords:
Analytics and Data Science
Agarwal, Chirag, Owen Queen, Himabindu Lakkaraju, and Marinka Zitnik. "Evaluating Explainability for Graph Neural Networks." Art. 114. Scientific Data 10 (2023).
- 2023
- Article
Experimental Evaluation of Individualized Treatment Rules
By: Kosuke Imai and Michael Lingzhi Li
The increasing availability of individual-level data has led to numerous applications of individualized (or personalized) treatment rules (ITRs). Policy makers often wish to empirically evaluate ITRs and compare their relative performance before implementing them in a...
View Details
Keywords:
Causal Inference;
Heterogeneous Treatment Effects;
Precision Medicine;
Uplift Modeling;
Analytics and Data Science;
AI and Machine Learning
Imai, Kosuke, and Michael Lingzhi Li. "Experimental Evaluation of Individualized Treatment Rules." Journal of the American Statistical Association 118, no. 541 (2023): 242–256.
- 2022
- Article
OpenXAI: Towards a Transparent Evaluation of Model Explanations
By: Chirag Agarwal, Satyapriya Krishna, Eshika Saxena, Martin Pawelczyk, Nari Johnson, Isha Puri, Marinka Zitnik and Himabindu Lakkaraju
While several types of post hoc explanation methods have been proposed in recent literature, there is very little work on systematically benchmarking these methods. Here, we introduce OpenXAI, a comprehensive and extensible opensource framework for evaluating and...
View Details
Agarwal, Chirag, Satyapriya Krishna, Eshika Saxena, Martin Pawelczyk, Nari Johnson, Isha Puri, Marinka Zitnik, and Himabindu Lakkaraju. "OpenXAI: Towards a Transparent Evaluation of Model Explanations." Advances in Neural Information Processing Systems (NeurIPS) (2022).
- October 2022
- Case
Sustainable Finance at Itau BBA
By: George Serafeim, Maria Loumioti and Benjamin Maletta
As of August 2022, the Itau BBA had structured dozens of sustainability linked bonds, which made future interest payments a function of the borrower meeting a target for a sustainability metric, and had solidified its reputation as a pioneer of sustainable finance in...
View Details
Keywords:
Sustainable Finance;
Corporate Social Responsibility;
Environmental Sustainability;
Growth Strategy;
Debt Contracting;
Performance Metrics;
Risk Assessment;
ESG (Environmental, Social, Governance) Performance;
Financial Instruments;
Risk Management;
Debt Securities;
Measurement and Metrics;
Banking Industry;
Pulp and Paper Industry;
Latin America
Serafeim, George, Maria Loumioti, and Benjamin Maletta. "Sustainable Finance at Itau BBA." Harvard Business School Case 123-036, October 2022.
- October 17, 2022
- Article
Relational Diversity in Social Portfolios Predicts Well-Being
We document a link between the relational diversity of one’s social portfolio—the richness and evenness of relationship types across one’s social interactions—and well-being. Across four distinct samples, respondents from the United States who completed a preregistered...
View Details
Keywords:
Social Interaction;
Social Engagement;
Well-being;
Happiness;
Social and Collaborative Networks;
Family and Family Relationships
Collins, Hanne K., Serena F. Hagerty, Jordi Quoidbach, Michael I. Norton, and Alison Wood Brooks. "Relational Diversity in Social Portfolios Predicts Well-Being." Proceedings of the National Academy of Sciences 119, no. 43 (October 17, 2022).
- October 2022
- Exercise
Shanty Real Estate: Confidential Information for Homebuyer 2
By: Michael Luca, Jesse M. Shapiro and Nathan Sun
Shanty is a simulation in which students inhabit the role of either a traditional home buyer or an iBuyer, both bidding on the same condo. The traditional home buyer has access to a “comp sheet” of similar properties that have recently sold, and has done a walkthrough....
View Details
Luca, Michael, Jesse M. Shapiro, and Nathan Sun. "Shanty Real Estate: Confidential Information for Homebuyer 2." Harvard Business School Exercise 923-017, October 2022.
- October 2022
- Exercise
Shanty Real Estate: Confidential Information for Homebuyer 3
By: Michael Luca, Jesse M. Shapiro and Nathan Sun
Shanty is a simulation in which students inhabit the role of either a traditional home buyer or an iBuyer, both bidding on the same condo. The traditional home buyer has access to a “comp sheet” of similar properties that have recently sold, and has done a walkthrough....
View Details
Luca, Michael, Jesse M. Shapiro, and Nathan Sun. "Shanty Real Estate: Confidential Information for Homebuyer 3." Harvard Business School Exercise 923-018, October 2022.
- October 2022
- Exercise
Shanty Real Estate: Confidential Information for iBuyer 1
By: Michael Luca, Jesse M. Shapiro and Nathan Sun
Shanty is a simulation in which students inhabit the role of either a traditional home buyer or an iBuyer, both bidding on the same condo. The traditional home buyer has access to a “comp sheet” of similar properties that have recently sold, and has done a walkthrough....
View Details
Keywords:
Algorithm;
Decision Choices and Conditions;
Decision Making;
Measurement and Metrics;
Market Timing
Luca, Michael, Jesse M. Shapiro, and Nathan Sun. "Shanty Real Estate: Confidential Information for iBuyer 1." Harvard Business School Exercise 923-019, October 2022.
- October 2022
- Exercise
Shanty Real Estate: Confidential Information for iBuyer 2
By: Michael Luca, Jesse M. Shapiro and Nathan Sun
Shanty is a simulation in which students inhabit the role of either a traditional home buyer or an iBuyer, both bidding on the same condo. The traditional home buyer has access to a “comp sheet” of similar properties that have recently sold, and has done a walkthrough....
View Details
Luca, Michael, Jesse M. Shapiro, and Nathan Sun. "Shanty Real Estate: Confidential Information for iBuyer 2." Harvard Business School Exercise 923-020, October 2022.
- October 2022
- Exercise
Shanty Real Estate: Confidential Information for iBuyer 3
By: Michael Luca, Jesse M. Shapiro and Nathan Sun
Shanty is a simulation in which students inhabit the role of either a traditional home buyer or an iBuyer, both bidding on the same condo. The traditional home buyer has access to a “comp sheet” of similar properties that have recently sold, and has done a walkthrough....
View Details
Keywords:
Algorithm;
Decision Choices and Conditions;
Decision Making;
Measurement and Metrics;
Market Timing
Luca, Michael, Jesse M. Shapiro, and Nathan Sun. "Shanty Real Estate: Confidential Information for iBuyer 3." Harvard Business School Exercise 923-021, October 2022.
- October 2022
- Exercise
Shanty Real Estate: Updated Confidential Information for Homebuyer
By: Michael Luca, Jesse M. Shapiro and Nathan Sun
Shanty is a simulation in which students inhabit the role of either a traditional home buyer or an iBuyer, both bidding on the same condo. The traditional home buyer has access to a “comp sheet” of similar properties that have recently sold, and has done a walkthrough....
View Details
Keywords:
Algorithm;
Decision Choices and Conditions;
Decision Making;
Market Timing;
Measurement and Metrics
Luca, Michael, Jesse M. Shapiro, and Nathan Sun. "Shanty Real Estate: Updated Confidential Information for Homebuyer." Harvard Business School Exercise 923-022, October 2022.
- October 2022
- Exercise
Shanty Real Estate: Updated Confidential Information for iBuyer
By: Michael Luca, Jesse M. Shapiro and Nathan Sun
Shanty is a simulation in which students inhabit the role of either a traditional home buyer or an iBuyer, both bidding on the same condo. The traditional home buyer has access to a “comp sheet” of similar properties that have recently sold, and has done a walkthrough....
View Details
Keywords:
Algorithm;
Decision Choices and Conditions;
Measurement and Metrics;
Market Timing;
Decision Making
Luca, Michael, Jesse M. Shapiro, and Nathan Sun. "Shanty Real Estate: Updated Confidential Information for iBuyer." Harvard Business School Exercise 923-023, October 2022.
- 2022
- White Paper
The American Opportunity Index: A Corporate Scorecard of Worker Advancement
By: Matt Sigelman, Joseph Fuller, Nik Dawson and Gad Levanon
The American Opportunity Index: A Corporate Scorecard of Worker Advancement is a new effort to give companies and other stakeholders a set of robust tools that measure how well major employers are doing in fostering economic mobility for workers and how they could do...
View Details
Keywords:
Upward Mobility;
Career Advancement;
Personal Development and Career;
Compensation and Benefits;
Employees;
Wages;
Human Capital;
Recruitment
Sigelman, Matt, Joseph Fuller, Nik Dawson, and Gad Levanon. "The American Opportunity Index: A Corporate Scorecard of Worker Advancement." White Paper, Burning Glass Institute, October 2022 (A joint project with Harvard Business School Project on Managing the Future of Work and Schultz Family Foundation.)
- 2022
- Working Paper
Slowly Varying Regression under Sparsity
By: Dimitris Bertsimas, Vassilis Digalakis Jr, Michael Lingzhi Li and Omar Skali Lami
We consider the problem of parameter estimation in slowly varying regression models with sparsity constraints. We formulate the problem as a mixed integer optimization problem and demonstrate that it can be reformulated exactly as a binary convex optimization problem...
View Details
Keywords:
Mathematical Methods
Bertsimas, Dimitris, Vassilis Digalakis Jr, Michael Lingzhi Li, and Omar Skali Lami. "Slowly Varying Regression under Sparsity." Working Paper, September 2022.
- September 2022
- Article
Tone at the Bottom: Measuring Corporate Misconduct Risk from the Text of Employee Reviews
By: Dennis W. Campbell and Ruidi Shang
This paper examines whether information extracted via text-based statistical methods applied to employee reviews left on the website Glassdoor.com can be used to develop indicators of corporate misconduct risk. We argue that inside information on the incidence of...
View Details
Keywords:
Management Accounting;
Management Control;
Corporate Culture;
Corporate Misconduct;
Risk Measurement;
Organizational Culture;
Crime and Corruption;
Risk and Uncertainty;
Measurement and Metrics
Campbell, Dennis W., and Ruidi Shang. "Tone at the Bottom: Measuring Corporate Misconduct Risk from the Text of Employee Reviews." Management Science 68, no. 9 (September 2022): 7034–7053.
- August 29, 2022
- Other Article
Income Inequality Is Rising. Are We Even Measuring It Correctly?
By: Jon M. Jachimowicz, K. Blesch and Oliver P. Hauser
Income inequality is on the rise in many countries around the world, according to the United Nations. What’s more, disparities in global income were exacerbated by the COVID-19 pandemic, with some countries facing greater economic losses than others.
Policymakers...
View Details
Keywords:
Income Inequality;
Gini Coefficient;
COVID-19 Pandemic;
Government Administration;
Equality and Inequality;
Health Pandemics;
Measurement and Metrics
Jachimowicz, Jon M., K. Blesch, and Oliver P. Hauser. "Income Inequality Is Rising. Are We Even Measuring It Correctly?" Harvard Business School Working Knowledge (August 29, 2022).
- 2022
- Working Paper
Private Equity Fund Valuation Management during Fundraising
By: Brian K. Baik
I investigate whether and how private equity fund managers (GPs) inflate their interim fund valuations (net asset values, or NAVs) during fundraising periods. Specifically, I study the extent to which the GPs inflate NAVs by managing valuation assumptions (e.g.,...
View Details
Keywords:
Private Equity;
Institutional Investors;
Valuation Multiples;
Earnings Management;
Private Firms;
Valuation;
Investment Funds
Baik, Brian K. "Private Equity Fund Valuation Management during Fundraising." Harvard Business School Working Paper, No. 23-013, August 2022.
- 2022
- Working Paper
Failing Just Fine: Assessing Careers of Venture Capital-backed Entrepreneurs via a Non-wage Measure
By: Natee Amornsiripanitch, Paul Gompers, George Hu, Will Levinson and Vladimir Mukharlyamov
This paper proposes a non-pecuniary measure of career achievement, Seniority. Based on a database of over 5 million resumes, this metric exploits the variation in job titles and how long they take to attain. When non-monetary factors influence career choice, inference...
View Details
Keywords:
Career Outcomes;
Founders;
Personal Development and Career;
Venture Capital;
Entrepreneurship
Amornsiripanitch, Natee, Paul Gompers, George Hu, Will Levinson, and Vladimir Mukharlyamov. "Failing Just Fine: Assessing Careers of Venture Capital-backed Entrepreneurs via a Non-wage Measure." NBER Working Paper Series, No. 30179, June 2022.