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- All HBS Web
(2,175)
- Faculty Publications (553)
- 2023
- Working Paper
Crowding in Private Quality: The Equilibrium Effects of Public Spending in Education
By: Tahir Andrabi, Natalie Bau, Jishnu Das, Asim Ijaz Khwaja and Naureen Karachiwalla
We estimate the equilibrium effects of a public-school grant program administered through school councils in Pakistani villages with multiple public and private schools and clearly defined catchment boundaries. The program was randomized at the village-level, allowing... View Details
Andrabi, Tahir, Natalie Bau, Jishnu Das, Asim Ijaz Khwaja, and Naureen Karachiwalla. "Crowding in Private Quality: The Equilibrium Effects of Public Spending in Education." NBER Working Paper Series, No. 30929, February 2023.
- January 2023 (Revised August 2023)
- Case
Veeva Systems and the Transformation to a Public Benefit Corporation
By: Ranjay Gulati and Allison M. Ciechanover
Peter Gassner, the co-founder and CEO of Veeva Systems, steered the company through rapid scaling from its launch in 2007 to 2022. Year after year, the company had exceeded expectations, with its market capitalization reaching $50 billion at its peak. By 2022, the... View Details
Keywords: Transformation; Corporate Governance; Corporate Social Responsibility and Impact; Mission and Purpose; Organizational Culture; Information Technology Industry; Technology Industry; United States; California
Gulati, Ranjay, and Allison M. Ciechanover. "Veeva Systems and the Transformation to a Public Benefit Corporation." Harvard Business School Case 423-045, January 2023. (Revised August 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.
- 2023
- Working Paper
The Market for CEOs: Evidence from Private Equity
By: Paul A. Gompers, Steven N. Kaplan and Vladimir Mukharlyamov
Most research on the CEO labor market studies public company CEOs while largely ignoring CEOs in private equity (PE) funded companies. We fill this gap by studying the market for CEOs among U.S. companies purchased by PE firms in large leveraged buyout transactions.... View Details
Gompers, Paul A., Steven N. Kaplan, and Vladimir Mukharlyamov. "The Market for CEOs: Evidence from Private Equity." NBER Working Paper Series, No. 30899, April 2022. (Revised January 2023.)
- 2023
- Working Paper
Too Many Managers: The Strategic Use of Titles to Avoid Overtime Payments
By: Lauren Cohen, Umit Gurun and N. Bugra Ozel
We find widespread evidence of firms appearing to avoid paying overtime wages by exploiting a
federal law that allows them to do so for employees termed as “managers” and paid a salary above a
pre-defined dollar threshold. We show that listings for salaried positions... View Details
Cohen, Lauren, Umit Gurun, and N. Bugra Ozel. "Too Many Managers: The Strategic Use of Titles to Avoid Overtime Payments." NBER Working Paper Series, No. 30826, January 2023.
- 2022
- Working Paper
How Do Investors Value ESG?
By: Malcolm Baker, Mark Egan and Suproteem K. Sarkar
Environmental, social, and governance (ESG) objectives have risen to near the top of the agenda for corporate executives and boards, driven in large part by their perceptions of shareholder interest. We quantify the value that shareholders place on ESG using a revealed... View Details
Keywords: Investment; Investment Portfolio; Corporate Social Responsibility and Impact; Business and Shareholder Relations; Environmental Sustainability; Governance; Financial Services Industry; United States
Baker, Malcolm, Mark Egan, and Suproteem K. Sarkar. "How Do Investors Value ESG?" NBER Working Paper Series, No. 30708, December 2022. (Harvard Business School Working Paper, No. 23-028, November 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.
- November 2022
- Article
The Psychosocial Value of Employment: Evidence from a Refugee Camp
By: Reshmaan Hussam, Erin M. Kelley, Gregory Lane and Fatima Zahra
Employment may be important to wellbeing for reasons beyond its role as an income source. This paper presents a causal estimate of the psychosocial value of employment in refugee camps in Bangladesh. We involve 745 individuals in a field experiment with three arms: a... View Details
Hussam, Reshmaan, Erin M. Kelley, Gregory Lane, and Fatima Zahra. "The Psychosocial Value of Employment: Evidence from a Refugee Camp." American Economic Review 112, no. 11 (November 2022): 3694–3724.
- 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... View Details
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.
- October 2022
- Article
It’s Not Just the Prices: Time-Driven Activity-Based Costing for Initiation of Veno-Venous Extracorporeal Membrane Oxygenation at Three International Sites—A Case Review
By: Michael Nurok, Vin Pellegrino, Marc Pineton de Chambrun, Jonathan Warsh, Meredith Young, Erik Dong, Neil Parrish, Syed Shehab, Alain Combes and Robert S. Kaplan
The United States spends more for intensive care units (ICUs) than do other high-income countries. We used time-driven activity-based costing (TDABC) to analyze ICU costs for initiation of extracorporeal membrane oxygenation (ECMO) for respiratory failure to estimate... View Details
Keywords: Healthcare; Cost; Time-Driven ABC; Health Care and Treatment; Cost Management; Activity Based Costing and Management; Health Industry
Nurok, Michael, Vin Pellegrino, Marc Pineton de Chambrun, Jonathan Warsh, Meredith Young, Erik Dong, Neil Parrish, Syed Shehab, Alain Combes, and Robert S. Kaplan. "It’s Not Just the Prices: Time-Driven Activity-Based Costing for Initiation of Veno-Venous Extracorporeal Membrane Oxygenation at Three International Sites—A Case Review." Anesthesia & Analgesia 135, no. 4 (October 2022): 711–718.
- Article
Recovering Investor Expectations from Demand for Index Funds
By: Mark Egan, Alexander J. MacKay and Hanbin Yang
We use a revealed-preference approach to estimate investor expectations of stock market returns. Using data on demand for index funds that follow the S&P 500, we develop and estimate a model of investor choice to flexibly recover the time-varying distribution of... View Details
Keywords: Stock Market Expectations; Demand Estimation; Exchange-traded Funds (ETFs); Demand and Consumers; Investment
Egan, Mark, Alexander J. MacKay, and Hanbin Yang. "Recovering Investor Expectations from Demand for Index Funds." Review of Economic Studies 89, no. 5 (October 2022): 2559–2599.
- August 2022
- Supplement
Zalora: Data-Driven Pricing Recommendations
By: Ayelet Israeli
This exercise can be used in conjunction with the main case "Zalora: Data-Driven Pricing" to facilitate class discussion without requiring data analysis from the students. Instead, the exercise presents reports that were created by the data science team to answer the... View Details
Keywords: Pricing; Pricing Algorithms; Dynamic Pricing; Ecommerce; Pricing Strategy; Pricing And Revenue Management; Apparel; Singapore; Startup; Demand Estimation; Data Analysis; Data Analytics; Exercise; Price; Internet and the Web; Apparel and Accessories Industry; Retail Industry; Fashion Industry; Singapore
Israeli, Ayelet. "Zalora: Data-Driven Pricing Recommendations." Harvard Business School Supplement 523-032, August 2022.
- 2022
- Working Paper
The Effect of Employee Lateness and Absenteeism on Store Performance
By: Caleb Kwon and Ananth Raman
We empirically analyze the effects of employee lateness and absenteeism on store performance by examining 25.5 million employee shift timecards covering more than 100,000 employees across more than 500 U.S. retail grocery store locations over a four year time period.... View Details
Kwon, Caleb, and Ananth Raman. "The Effect of Employee Lateness and Absenteeism on Store Performance." Working Paper, August 2022.
- 2022
- Article
Data Poisoning Attacks on Off-Policy Evaluation Methods
By: Elita Lobo, Harvineet Singh, Marek Petrik, Cynthia Rudin and Himabindu Lakkaraju
Off-policy Evaluation (OPE) methods are a crucial tool for evaluating policies in high-stakes domains such as healthcare, where exploration is often infeasible, unethical, or expensive. However, the extent to which such methods can be trusted under adversarial threats... View Details
Lobo, Elita, Harvineet Singh, Marek Petrik, Cynthia Rudin, and Himabindu Lakkaraju. "Data Poisoning Attacks on Off-Policy Evaluation Methods." Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI) 38th (2022): 1264–1274.
- Article
The Value of Intermediation in the Stock Market
By: Marco Di Maggio, Mark Egan and Francesco Franzoni
We estimate a structural model of broker choice to quantitatively decompose the value that institutional investors attach to broker services. Studying over 300 million institutional equity trades, we find that investors are sensitive to both explicit and implicit... View Details
Keywords: Financial Intermediation; Institutional Investors; Research Analysts; Broker Networks; Equity Trading; Institutional Investing
Di Maggio, Marco, Mark Egan, and Francesco Franzoni. "The Value of Intermediation in the Stock Market." Journal of Financial Economics 145, no. 2A (August 2022): 208–233.
- 2022
- Article
Towards Robust Off-Policy Evaluation via Human Inputs
By: Harvineet Singh, Shalmali Joshi, Finale Doshi-Velez and Himabindu Lakkaraju
Off-policy Evaluation (OPE) methods are crucial tools for evaluating policies in high-stakes domains such as healthcare, where direct deployment is often infeasible, unethical, or expensive. When deployment environments are expected to undergo changes (that is, dataset... View Details
Singh, Harvineet, Shalmali Joshi, Finale Doshi-Velez, and Himabindu Lakkaraju. "Towards Robust Off-Policy Evaluation via Human Inputs." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (2022): 686–699.
- July 2022
- Supplement
Solution for E-Commerce Analytics for CPG Firms (A): Estimating Sales
By: Ayelet Israeli
Keywords: Data Analysis; Data Analytics; CPG; Consumer Packaged Goods (CPG); Estimation; Online Channel; Retail Analytics; Retail; Retailing Industry; Data; Data Sharing; Bricks And Mortar; Ecommerce; Analytics and Data Science; Analysis; Sales; Goods and Commodities; Retail Industry; Consumer Products Industry; United States
- July 2022 (Revised January 2023)
- Case
Vicky Tsai and Tatcha: Confronting Stereotypes
By: Geoffrey Jones and Veronica Tong
Teaching Plan for HBS Case No. 323-007. This case examines the career of Vicky Tsai, the creator of San Francisco-based TATCHA, a Japanese-themed luxury beauty brand launched in 2009. It explores how Tsai developed the concept, assembled management, and successfully... View Details
Keywords: Cosmetics Industry; Japan; Startup; Marketing; Entrepreneurship; Growth and Development; Product Development; Product Marketing; Acquisition; Identity; Brands and Branding; Ethnicity; Gender; Beauty and Cosmetics Industry; United States
Jones, Geoffrey, and Veronica Tong. "Vicky Tsai and Tatcha: Confronting Stereotypes." Harvard Business School Case 323-007, July 2022. (Revised January 2023.)
- July 2022
- Article
Countercyclical Prudential Buffers and Bank Risk-taking
By: Manuel Illueca, Lars Norden, Joseph Pacelli and Gregory F. Udell
We investigate the effects of countercyclical prudential buffers on bank risk-taking. We exploit the introduction of dynamic loan loss provisioning in Spain, mandating that banks use historical average loss rates in their estimation of loan loss provisions. We find... View Details
Keywords: Banks; Bank Regulation; Macroprudential Policies; Bank Lending; Loan Loss Provisioning; Risk Taking; Banks and Banking; Financing and Loans; Governing Rules, Regulations, and Reforms; Risk and Uncertainty
Illueca, Manuel, Lars Norden, Joseph Pacelli, and Gregory F. Udell. "Countercyclical Prudential Buffers and Bank Risk-taking." Art. 100961. Journal of Financial Intermediation 51 (July 2022).
- July 2022
- Article
Estimating Spillovers from Publicly Funded R&D: Evidence from the US Department of Energy
By: Kyle Myers and Lauren Lanahan
We quantify the magnitude of R&D spillovers created by grants to small firms from the US Department of Energy. Our empirical strategy leverages variation due to state-specific matching policies, and we develop a new approach to measuring both geographic and... View Details
Keywords: Innovation; Energy; R&D; Grants; Innovation and Invention; Research and Development; Patents; Performance; United States
Myers, Kyle, and Lauren Lanahan. "Estimating Spillovers from Publicly Funded R&D: Evidence from the US Department of Energy." American Economic Review 112, no. 7 (July 2022): 2393–2423.