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(720)
- Faculty Publications (136)
- 2023
- Working Paper
The Effect of Childhood Environment on Political Behavior: Evidence from Young U.S. Movers, 1992–2021
By: Jacob R. Brown, Enrico Cantoni, Sahil Chinoy, Martin Koenen and Vincent Pons
We ask how childhood environment shapes political behavior. We measure young voters’ participation and party affiliation in nationally comprehensive voter files and reconstruct their childhood location histories based on their parents’ addresses. We compare outcomes of... View Details
Brown, Jacob R., Enrico Cantoni, Sahil Chinoy, Martin Koenen, and Vincent Pons. "The Effect of Childhood Environment on Political Behavior: Evidence from Young U.S. Movers, 1992–2021." NBER Working Paper Series, No. 31759, October 2023.
- September 2023 (Revised September 2024)
- Technical Note
Measuring and Managing Social Impact
By: Brian Trelstad, Gerald Chertavian and Susan Pinckney
A brief overview of how to measure social impact at nonprofits, social organizations, and impact investments. View Details
Keywords: Analysis; Change; Transformation; Decision Making; Cost vs Benefits; Decision Choices and Conditions; Decisions; Forecasting and Prediction; Public Sector; Entrepreneurship; Social Entrepreneurship; Fairness; Entrepreneurial Finance; Governance; Governing and Advisory Boards; Policy; Innovation and Management; Knowledge Acquisition; Knowledge Use and Leverage; Goals and Objectives; Growth and Development Strategy; Growth Management; Management Analysis, Tools, and Techniques; Management Practices and Processes; Resource Allocation; Measurement and Metrics; Standards; Strength and Weakness; Mission and Purpose; Success; Performance; Performance Evaluation; Philanthropy and Charitable Giving; Strategic Planning; Programs; Risk and Uncertainty; Social Enterprise; Non-Governmental Organizations; Social Issues; United States
Trelstad, Brian, Gerald Chertavian, and Susan Pinckney. "Measuring and Managing Social Impact." Harvard Business School Technical Note 324-017, September 2023. (Revised September 2024.)
- September 13, 2023
- Article
How the Best Chief Data Officers Create Value
By: Suraj Srinivasan and Robin Seibert
Despite the rapidly increasing prominence of data and analytics functions, the majority of chief data officers (CDOs) fail to value and price the business outcomes created by their data and analytics capabilities. It comes as no surprise then that many CDOs fall behind... View Details
Srinivasan, Suraj, and Robin Seibert. "How the Best Chief Data Officers Create Value." Harvard Business Review (website) (September 13, 2023).
- 2023
- Article
Evidence from the First Shared Medical Appointments (SMAs) Randomised Controlled Trial in India: SMAs Increase the Satisfaction, Knowledge, and Medication Compliance of Patients with Glaucoma
By: Nazlı Sönmez, Kavitha Srinivasan, Rengaraj Venkatesh, Ryan W. Buell and Kamalini Ramdas
In Shared Medical Appointments (SMAs), patients with similar conditions meet the physician together and each receives one-on-one attention. SMAs can improve outcomes and physician productivity. Yet privacy concerns have stymied adoption. In physician-deprived nations,... View Details
Sönmez, Nazlı, Kavitha Srinivasan, Rengaraj Venkatesh, Ryan W. Buell, and Kamalini Ramdas. "Evidence from the First Shared Medical Appointments (SMAs) Randomised Controlled Trial in India: SMAs Increase the Satisfaction, Knowledge, and Medication Compliance of Patients with Glaucoma." e0001648. PLoS Global Public Health 3, no. 7 (2023).
- 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
Chang, Peter W., Leor Fishman, and Seth Neel. "Feature Importance Disparities for Data Bias Investigations." Working Paper, March 2023.
- 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
Scharfstein, David S., and Sergey Chernenko. "The Limits of Algorithmic Measures of Race in Studies of Outcome Disparities." Working Paper, April 2023.
- March 2023
- Background Note
A Primer on OKRs
By: Suraj Srinivasan and Li-Kuan (Jason) Ni
The OKR framework is a popular goal-setting and strategy execution tool that uses goal setting through “Objectives” and measuring performance using “Key Results” on a periodic basis to measure and drive performance. The OKR framework has been adopted and practiced at... View Details
Keywords: Business Organization; Talent and Talent Management; Framework; Corporate Governance; Goals and Objectives; Growth and Development; Growth and Development Strategy; Growth Management; Management Analysis, Tools, and Techniques; Management Practices and Processes; Management Skills; Management Systems; Measurement and Metrics; Outcome or Result; Performance Effectiveness; Performance Evaluation; Performance Expectations; Performance Productivity; Performance Efficiency
Srinivasan, Suraj, and Li-Kuan (Jason) Ni. "A Primer on OKRs." Harvard Business School Background Note 123-081, March 2023.
- December 13, 2022
- Article
6 Ways Companies Fail to Help Workers Grow
By: Joseph Fuller, Matthew Sigelman and Nik Dawson
The authors recently studied Fortune 250 companies and ranked them based on the lived experience of three million of their U.S. workers. One of their key findings was that even top-ranked firms fail to deliver consistently on worker advancement. To understand why this... View Details
Keywords: Personal Development and Career; Training; Business Model; Outcome or Result; Performance Evaluation; Opportunities
Fuller, Joseph, Matthew Sigelman, and Nik Dawson. "6 Ways Companies Fail to Help Workers Grow." Harvard Business Review Digital Articles (December 13, 2022).
- November 2022
- Article
Measuring Inequality beyond the Gini Coefficient May Clarify Conflicting Findings
By: Kristin Blesch, Oliver P. Hauser and Jon M. Jachimowicz
Prior research has found mixed results on how economic inequality is related to various outcomes. These contradicting findings may in part stem from a predominant focus on the Gini coefficient, which only narrowly captures inequality. Here, we conceptualize the... View Details
Keywords: Economic Inequalty; Gini Coefficient; Income Inequality; Equality and Inequality; Social Issues; Health; Status and Position
Blesch, Kristin, Oliver P. Hauser, and Jon M. Jachimowicz. "Measuring Inequality beyond the Gini Coefficient May Clarify Conflicting Findings." Nature Human Behaviour 6, no. 11 (November 2022): 1525–1536.
- 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
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.
- 2022
- Article
Social Interactivity in Live Video Experiences Reduces Loneliness
By: Benjamin T. Kaveladze, Robert R. Morris, Rosa Victoria Dimitrova-Gammeltoft, Amit Goldenberg, James J. Gross, Judd Antin, Melissa Sandgren and Melissa C. Thomas-Hunt
Background: Loneliness, especially when chronic, can substantially reduce one's quality of life. However, positive social experiences might help to break cycles of loneliness by promoting more prosocial cognitions and behaviors. Internet-mediated live video... View Details
Keywords: Lonelines; Social Connection; Internet-mediated Communication; Experiment; Emotions; Well-being; Interpersonal Communication; Internet
Kaveladze, Benjamin T., Robert R. Morris, Rosa Victoria Dimitrova-Gammeltoft, Amit Goldenberg, James J. Gross, Judd Antin, Melissa Sandgren, and Melissa C. Thomas-Hunt. "Social Interactivity in Live Video Experiences Reduces Loneliness." Frontiers in Digital Health 4:859849 (2022).
- March 2022 (Revised April 2023)
- Case
Pittsburgh: A Successful City?
Pittsburgh, PA, was once the crown jewel of American heavy industry. During the 19th and 20th centuries, the city was an undisputed leader in steel production, boasting some of the largest companies and wealthiest individuals in the world. Its abundance of... View Details
Keywords: Economic And Social Disparities; Economic Development; Local Economic Development; Contextual Intelligence; Contextual Knowledge; Context; City Growth; City Innovation; City Leadership; Pittsburgh; Local Government; Local Stakeholders; Business And Community; Business And Community Relations; Community Engagement; Community Relations; Cross-sector Collaboration; Innovation; Innovation Economy; Innovation Clusters; Innovation Ecosystems; Shared Prosperity; Equality Of Opportunity; Equity; Inclusion; Business And Government; Business & Government Relations; Business And Government Relations; Business And Society; Neighborhoods; Race And Ethnicity; Innovation & Entrepreneurship; Diversity; Ethnicity; Race; Household; Income; Economic Growth; Economic Sectors; Economics; Local Range; Urban Development; Urban Scope; City; Cross-Cultural and Cross-Border Issues; Government and Politics; Government Administration; Growth and Development; History; Leadership; Goals and Objectives; Philanthropy and Charitable Giving; Society; Civil Society or Community; Culture; Human Needs; Public Opinion; Public Sector; Social Issues; Poverty; Equality and Inequality; Manufacturing Industry; Steel Industry; Education Industry; Medical Devices and Supplies Industry; Technology Industry; United States; Pittsburgh; Pennsylvania
Mills, Karen, Caroline Elkins, Vikram Gandhi, Gabriella Elanbeck, and Zeke Gillman. "Pittsburgh: A Successful City?" Harvard Business School Case 322-080, March 2022. (Revised April 2023.)
- Article
Megastudies Improve the Impact of Applied Behavioural Science
By: Katherine L. Milkman, Dena Gromet, Hung Ho, Joseph S. Kay, Timothy W. Lee, Pepi Pandiloski, Yeji Park, Aneesh Rai, Max Bazerman, John Beshears, Lauri Bonacorsi, Colin Camerer, Edward Chang, Gretchen Chapman, Robert Cialdini, Hengchen Dai, Lauren Eskreis-Winkler, Ayelet Fishbach, James J. Gross, Samantha Horn, Alexa Hubbard, Steven J. Jones, Dean Karlan, Tim Kautz, Erika Kirgios, Joowon Klusowski, Ariella Kristal, Rahul Ladhania, Jens Ludwig, George Loewenstein, Barbara Mellers, Sendhil Mullainathan, Silvia Saccardo, Jann Spiess, Gaurav Suri, Joachim H. Talloen, Jamie Taxer, Yaacov Trope, Lyle Ungar, Kevin G. Volpp, Ashley V. Whillans, Jonathan Zinman and Angela L. Duckworth
Policy-makers are increasingly turning to behavioural science for insights about how to improve citizens’ decisions and outcomes. Typically, different scientists test different intervention ideas in different samples using different outcomes over different time... View Details
Milkman, Katherine L., Dena Gromet, Hung Ho, Joseph S. Kay, Timothy W. Lee, Pepi Pandiloski, Yeji Park, Aneesh Rai, Max Bazerman, John Beshears, Lauri Bonacorsi, Colin Camerer, Edward Chang, Gretchen Chapman, Robert Cialdini, Hengchen Dai, Lauren Eskreis-Winkler, Ayelet Fishbach, James J. Gross, Samantha Horn, Alexa Hubbard, Steven J. Jones, Dean Karlan, Tim Kautz, Erika Kirgios, Joowon Klusowski, Ariella Kristal, Rahul Ladhania, Jens Ludwig, George Loewenstein, Barbara Mellers, Sendhil Mullainathan, Silvia Saccardo, Jann Spiess, Gaurav Suri, Joachim H. Talloen, Jamie Taxer, Yaacov Trope, Lyle Ungar, Kevin G. Volpp, Ashley V. Whillans, Jonathan Zinman, and Angela L. Duckworth. "Megastudies Improve the Impact of Applied Behavioural Science." Nature 600, no. 7889 (December 16, 2021): 478–483.
- November 2021
- Article
Panel Experiments and Dynamic Causal Effects: A Finite Population Perspective
By: Iavor Bojinov, Ashesh Rambachan and Neil Shephard
In panel experiments, we randomly assign units to different interventions, measuring their outcomes, and repeating the procedure in several periods. Using the potential outcomes framework, we define finite population dynamic causal effects that capture the relative... View Details
Keywords: Panel Data; Dynamic Causal Effects; Potential Outcomes; Finite Population; Nonparametric; Mathematical Methods
Bojinov, Iavor, Ashesh Rambachan, and Neil Shephard. "Panel Experiments and Dynamic Causal Effects: A Finite Population Perspective." Quantitative Economics 12, no. 4 (November 2021): 1171–1196.
- October 2021
- Article
Directors' Perceptions of Board Effectiveness and Internal Operations
By: J. Yo-Jud Cheng, Boris Groysberg, Paul M. Healy and Rajesh Vijayaraghavan
We contribute to the growing literature on the effectiveness of corporate boards by examining the effect of two insights that have been largely unexplored in prior studies that use public data. First, since boards’ responsibilities are wide-ranging, more holistic... View Details
Keywords: Boards Of Directors; Corporate Governance; Governing and Advisory Boards; Performance Effectiveness; Perception
Cheng, J. Yo-Jud, Boris Groysberg, Paul M. Healy, and Rajesh Vijayaraghavan. "Directors' Perceptions of Board Effectiveness and Internal Operations." Management Science 67, no. 10 (October 2021): 6399–6420.
- 2021
- Article
An Empirical Examination of Sell-Side Brokerage Analysts' Published Research, Concierge Services, and High-Touch Services
By: David A. Maber, Boris Groysberg and Paul M. Healy
This paper uses a proprietary panel dataset to categorize and quantify the activities that sell-side brokerage analysts use to build and sustain their network of buy-side client relations. We then examine the marginal impact of these activities on key analyst outcome... View Details
Maber, David A., Boris Groysberg, and Paul M. Healy. "An Empirical Examination of Sell-Side Brokerage Analysts' Published Research, Concierge Services, and High-Touch Services." European Accounting Review 30, no. 4 (2021): 827–853.
- 2021
- Other Unpublished Work
Computer-Implemented Methods and Systems for Measuring, Estimating, and Managing Economic Outcomes and Technical Debt in Software Systems and Projects: US Patent 11,126,427 B2
By: Daniel J. Sturtevant, Carliss Baldwin, Alan MacCormack, Sunny Ahn and Sean Gilliland
An interrelated set of tools and methods is disclosed for: (1) measuring the relationship between software source code attributes (such as code quality, design quality, test quality, and complexity metrics) and software economics outcome metrics (such as... View Details
Sturtevant, Daniel J., Carliss Baldwin, Alan MacCormack, Sunny Ahn, and Sean Gilliland. "Computer-Implemented Methods and Systems for Measuring, Estimating, and Managing Economic Outcomes and Technical Debt in Software Systems and Projects: US Patent 11,126,427 B2." Cambridge, MA, September 2021.
- September 2021
- Article
Trials and Terminations: Learning from Competitors' R&D Failures
I analyze project continuation decisions where firms may resolve uncertainty through news about competitors' research and development (R&D) failures, as well as through their own results. I examine the trade-offs and interactions between product-market competition and... View Details
Krieger, Joshua L. "Trials and Terminations: Learning from Competitors' R&D Failures." Management Science 67, no. 9 (September 2021).
- 2021
- Working Paper
Multi-location Workers in Multinational Firms? Tradeoffs in Contextual Specialization of Employees and Organizational Outcomes
We study how “contextual specialization,” the act of focusing workers’ organizational tasks within a particular locational context, and “contextual non-specialization,” the practice of diversifying workers’ organizational tasks among multiple locational contexts,... View Details
Keywords: Talent and Talent Management; Performance; Experience and Expertise; Selection and Staffing; Strength and Weakness; Personal Development and Career
Gibson, Hise O., Ryan W. Buell, and Prithwiraj Choudhury. "Multi-location Workers in Multinational Firms? Tradeoffs in Contextual Specialization of Employees and Organizational Outcomes." Harvard Business School Working Paper, No. 22-007, August 2021.