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- 2024
- Working Paper
Anytime-Valid Inference in Linear Models and Regression-Adjusted Causal Inference
By: Michael Lindon, Dae Woong Ham, Martin Tingley and Iavor I. Bojinov
Linear regression adjustment is commonly used to analyze randomized controlled experiments due to its efficiency and robustness against model misspecification. Current testing and interval estimation procedures leverage the asymptotic distribution of such estimators to... View Details
Lindon, Michael, Dae Woong Ham, Martin Tingley, and Iavor I. Bojinov. "Anytime-Valid Inference in Linear Models and Regression-Adjusted Causal Inference." Harvard Business School Working Paper, No. 24-060, March 2024.
- 2021
- Working Paper
Quantifying the Value of Iterative Experimentation
By: Iavor I Bojinov and Jialiang Mao
Over the past decade, most technology companies and a growing number of conventional firms have adopted online experimentation (or A/B testing) into their product development process. Initially, A/B testing was deployed as a static procedure in which an experiment was... View Details
Bojinov, Iavor I., and Jialiang Mao. "Quantifying the Value of Iterative Experimentation." Harvard Business School Working Paper, No. 24-059, March 2024.
- Article
Update on E-liability Accounting
By: Robert Kaplan, Karthik Ramanna and Piyush Jha
Since publication of the original E-liability carbon accounting paper (HBR, Nov 2021), we created the E-liability Institute to help companies, governments, and nonprofits implement the method. The Institute’s mission is to test and validate the method, and develop... View Details
Keywords: Decarbonization; Carbon Footprint; Supply Chain; Environmental Sustainability; Environmental Accounting
Kaplan, Robert, Karthik Ramanna, and Piyush Jha. "Update on E-liability Accounting." Accountability in a Sustainable World Quarterly, no. 4 (September 2023): 96–117.
- 2023
- Working Paper
Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation
By: Dae Woong Ham, Michael Lindon, Martin Tingley and Iavor Bojinov
Randomized experiments have become the standard method for companies to evaluate the performance of new products or services. In addition to augmenting managers’ decision-making, experimentation mitigates risk by limiting the proportion of customers exposed to... View Details
Keywords: Performance Evaluation; Research and Development; Analytics and Data Science; Consumer Behavior
Ham, Dae Woong, Michael Lindon, Martin Tingley, and Iavor Bojinov. "Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation." Harvard Business School Working Paper, No. 23-070, May 2023.
- February 2023
- Case
Success Academy Charter Schools
By: Robin Greenwood, Joshua D. Coval, Denise Han, Ruth Page and Dave Habeeb
This stand-alone multimedia case follows the story of Eva Moskowitz and Success Academy, a network of high-performing charter schools in New York City. As a New York City councilor between 1999 and 2006, Moskowitz became frustrated over the inertia and dysfunction in... View Details
Keywords: Business and Government Relations; Performance Effectiveness; Equality and Inequality; Private Sector; Education Industry; New York (city, NY)
Greenwood, Robin, Joshua D. Coval, Denise Han, Ruth Page, and Dave Habeeb. "Success Academy Charter Schools." Harvard Business School Multimedia/Video Case 222-707, February 2023.
- 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.
- August 2022
- Case
Rocket Learning: Evidence in Action
By: Brian Trelstad, Tomas Rosales and Malini Sen
Founders of Rocket Learning, an India-based nonprofit which focused on early childhood education (ECE), received an invitation from MIT’s Abdul Latif Jameel Poverty Action Lab (JPAL), a development research organization, to test its intervention for ECE with a... View Details
Keywords: Social Entrepreneurship; Early Childhood Education; Nonprofit Organizations; Literacy; Values and Beliefs; Social and Collaborative Networks; Education Industry; India; Asia
Trelstad, Brian, Tomas Rosales, and Malini Sen. "Rocket Learning: Evidence in Action." Harvard Business School Case 323-002, August 2022.
- 2022
- Article
Values and Inequality: Prosocial Jobs and the College Wage Premium
By: Nathan Wilmers and Letian Zhang
Employers often recruit workers by invoking corporate social responsibility, organizational purpose, or other claims to a prosocial mission. In an era of substantial labor
market inequality, commentators typically dismiss these claims as hypocritical: prosocial... View Details
Wilmers, Nathan, and Letian Zhang. "Values and Inequality: Prosocial Jobs and the College Wage Premium." American Sociological Review 87, no. 3 (2022): 415–442.
- 2021
- Working Paper
Cognitive Biases: Mistakes or Missing Stakes?
By: Benjamin Enke, Uri Gneezy, Brian Hall, David Martin, Vadim Nelidov, Theo Offerman and Jeroen van de Ven
Despite decades of research on heuristics and biases, empirical evidence on the effect of large incentives—as present in relevant economic decisions—on cognitive biases is scant. This paper tests the effect of incentives on four widely documented biases: base rate... View Details
Enke, Benjamin, Uri Gneezy, Brian Hall, David Martin, Vadim Nelidov, Theo Offerman, and Jeroen van de Ven. "Cognitive Biases: Mistakes or Missing Stakes?" Harvard Business School Working Paper, No. 21-102, March 2021.
- March 16, 2021
- Article
From Driverless Dilemmas to More Practical Commonsense Tests for Automated Vehicles
By: Julian De Freitas, Andrea Censi, Bryant Walker Smith, Luigi Di Lillo, Sam E. Anthony and Emilio Frazzoli
For the first time in history, automated vehicles (AVs) are being deployed in populated environments. This unprecedented transformation of our everyday lives demands a significant undertaking: endowing
complex autonomous systems with ethically acceptable behavior. We... View Details
Keywords: Automated Driving; Public Health; Artificial Intelligence; Transportation; Health; Ethics; Policy; AI and Machine Learning
De Freitas, Julian, Andrea Censi, Bryant Walker Smith, Luigi Di Lillo, Sam E. Anthony, and Emilio Frazzoli. "From Driverless Dilemmas to More Practical Commonsense Tests for Automated Vehicles." Proceedings of the National Academy of Sciences 118, no. 11 (March 16, 2021).
- Article
The Impact of Penalties for Wrong Answers on the Gender Gap in Test Scores
By: Katherine B. Coffman and David Klinowski
Multiple-choice exams play a critical role in university admissions across the world. A key question is whether imposing penalties for wrong answers on these exams deters guessing from women more than men, disadvantaging female test-takers. We consider data from a... View Details
Coffman, Katherine B., and David Klinowski. "The Impact of Penalties for Wrong Answers on the Gender Gap in Test Scores." Proceedings of the National Academy of Sciences 117, no. 16 (April 21, 2020): 8794–8803.
- Article
The Hidden Costs of Initial Coin Offerings
By: Jeffrey J. Bussgang and Ramana Nanda
In recent years, much has been written about how the Blockchain is poised to transform traditional industries such as banking, real estate, and healthcare. More recently, it has gained attention as a way to finance new ventures, through what is known as an Initial Coin... View Details
Bussgang, Jeffrey J., and Ramana Nanda. "The Hidden Costs of Initial Coin Offerings." Harvard Business Review (website) (November 7, 2018).
- Article
Applying Random Coefficient Models to Strategy Research: Identifying and Exploring Firm Heterogeneous Effects
By: Juan Alcácer, Wilbur Chung, Ashton Hawk and Gonçalo Pacheco-de-Almeida
Strategy aims at understanding the differential effects of firms’ actions on performance. However, standard regression models estimate only the average effects of these actions across firms. Our paper discusses how random coefficient models (RCMs) may generate new... View Details
Alcácer, Juan, Wilbur Chung, Ashton Hawk, and Gonçalo Pacheco-de-Almeida. "Applying Random Coefficient Models to Strategy Research: Identifying and Exploring Firm Heterogeneous Effects." Strategy Science 3, no. 3 (September 2018): 481–553.
- 2018
- Working Paper
Detecting Anomalies: The Relevance and Power of Standard Asset Pricing Tests
By: Malcolm Baker, Patrick Luo and Ryan Taliaferro
The two standard approaches for identifying capital market anomalies are cross-sectional coefficient tests, in the spirit of Fama and MacBeth (1973), and time-series intercept tests, in the spirit of Jensen (1968). A new signal can pass the first test, which we label a... View Details
Keywords: Investment Management; Anomalies; Portfolio Construction; Transaction Costs; Investment; Management; Asset Pricing; Market Transactions; Cost
Baker, Malcolm, Patrick Luo, and Ryan Taliaferro. "Detecting Anomalies: The Relevance and Power of Standard Asset Pricing Tests." Working Paper, July 2018.
- Article
Scenario Generation for Long Run Interest Rate Risk Assessment
By: Robert F. Engle, Guillaume Roussellet and Emil N. Siriwardane
We propose a statistical model of the term structure of U.S. treasury yields tailored for long-term probability-based scenario generation and forecasts. Our model is easy to estimate and is able to simultaneously reproduce the positivity, persistence, and factor... View Details
Keywords: Forecasting; Stress Testing; Interest Rates; Forecasting and Prediction; Risk Management; United States
Engle, Robert F., Guillaume Roussellet, and Emil N. Siriwardane. "Scenario Generation for Long Run Interest Rate Risk Assessment." Special Issue on Theoretical and Financial Econometrics: Essays in Honor of C. Gourieroux. Journal of Econometrics 201, no. 2 (December 2017): 333–347.
- 2017
- Working Paper
Nowcasting the Local Economy: Using Yelp Data to Measure Economic Activity
By: Edward L. Glaeser, Hyunjin Kim and Michael Luca
Can new data sources from online platforms help to measure local economic activity? Government datasets from agencies such as the U.S. Census Bureau provide the standard measures of economic activity at the local level. However, these statistics typically appear only... View Details
Glaeser, Edward L., Hyunjin Kim, and Michael Luca. "Nowcasting the Local Economy: Using Yelp Data to Measure Economic Activity." Harvard Business School Working Paper, No. 18-022, September 2017. (Revised October 2017.)
- 2017
- Case
Uncommon Schools (A): A Network of Networks
By: John J-H Kim and Sarah McAra
In 2013, Brett Peiser, CEO of the charter school management organization (CMO) Uncommon Schools, is reassessing the nonprofit’s strategy. For nearly 10 years, Uncommon had fulfilled its mission to bring high-quality education to students in low-income, urban areas... View Details
Keywords: Charter Schools; Nonprofit Organizations; Teaching; Talent Management; Innovation; Organization Structure; Education; Early Childhood Education; Middle School Education; Organizational Structure; Performance Consistency; Strategy; Collaborative Innovation and Invention; Education Industry
Kim, John J-H, and Sarah McAra. "Uncommon Schools (A): A Network of Networks." Harvard Business Publishing Case, 2017. (Case No. PEL-079.)
- 2017
- Supplement
Uncommon Schools (B): Seeking Excellence at Scale through Standardized Practice
By: John J-H Kim and Sarah McAra
The (B) case provides an update to the (A) case by illustrating how charter school management organization Uncommon Schools responded to the disparity in its students’ 2013 standardized test results. In 2015, CEO Brett Peiser and his management team decided to align... View Details
Keywords: Charter Schools; Nonprofit Organizations; Strategy; Teaching; Talent And Talent Management; Innovation; Education; Early Childhood Education; Middle School Education; Organizational Structure; Performance Consistency; Growth and Development Strategy; Innovation and Invention; Education Industry
Kim, John J-H, and Sarah McAra. "Uncommon Schools (B): Seeking Excellence at Scale through Standardized Practice." Harvard Business Publishing Supplement, 2017. (Case No. PEL-080.)
- December 2016
- Article
The Effects of Endowment Size and Strategy Method on Third Party Punishment
By: Jillian J. Jordan, Katherine McAuliffe and David G. Rand
Numerous experiments have shown that people often engage in third-party punishment (3PP) of selfish behavior. This evidence has been used to argue that people respond to selfishness with anger, and get utility from punishing those who mistreat others. Elements of the... View Details
Keywords: Third-party Punishment; Norm-enforcement; Strategy Method; Economic Games; Cooperation; Emotions; Fairness
Jordan, Jillian J., Katherine McAuliffe, and David G. Rand. "The Effects of Endowment Size and Strategy Method on Third Party Punishment." Experimental Economics 19, no. 4 (December 2016): 741–763.
- 2016
- Working Paper
Experimental Evidence on Policies Aimed at Closing the Gender Gap in Willingness to Guess on Multiple-Choice Tests
Research has shown that women skip more questions than men on multiple-choice tests with penalties for wrong answers. We propose and test five policy changes aimed at eliminating this source of gender bias in test scores. Our data show that simply removing the penalty... View Details