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Show Results For
- All HBS Web
(10,601)
- People (74)
- News (2,749)
- Research (3,714)
- Events (36)
- Multimedia (229)
- Faculty Publications (2,252)
- 04 Jan 2011
- Working Paper Summaries
The Learning Effects of Monitoring
- 2019
- Working Paper
Optimal Interventions for Increasing Healthy Food Consumption Among Low Income Households
By: Retsef Levi, Elisabeth Paulson and Georgia Perakis
The federal government currently spends over $100 billion per year on policies aimed to increase fruit and vegetable (FV) consumption among low income households. These include price-, nutrition education-, and access-related interventions. Currently, the government... View Details
Keywords: Bi-level Optimization; Optimal Subsidies; Public Policy; Food Policy; Central Planner; Government Administration; Poverty; Food; Nutrition
Levi, Retsef, Elisabeth Paulson, and Georgia Perakis. "Optimal Interventions for Increasing Healthy Food Consumption Among Low Income Households." MIT Sloan Research Paper, No. 6053-19, November 2019.
- July 2022
- Article
The Pass-Through of Uncertainty Shocks to Households
By: Marco Di Maggio, Amir Kermani, Rodney Ramcharan, Vincent Yao and Edison Yu
Using new employer-employee matched data, this paper investigates the impact of uncertainty, as measured by idiosyncratic stock market volatility, on individual outcomes. We find that firms provide at best partial insurance to their workers. An increase in firm-level... View Details
Keywords: Employment Risk; Consumption; Employment; Risk and Uncertainty; System Shocks; Insurance; Household; Spending
Di Maggio, Marco, Amir Kermani, Rodney Ramcharan, Vincent Yao, and Edison Yu. "The Pass-Through of Uncertainty Shocks to Households." Journal of Financial Economics 145, no. 1 (July 2022): 85–104. (2023 Fama-DFA Prize for the Best Paper Published in the Journal of Financial Economics in Asset Pricing, 2nd place.)
- April 2023
- Article
Learning Down to Train Up: Mentors Are More Effective When They Value Insights from Below
By: Ting Zhang, Dan Wang and Adam D. Galinsky
Although mentorship is vital for individual success, potential mentors often view it as a costly burden. To understand what motivates mentors to overcome this barrier and more fully engage with their mentees, we introduce a new construct, learning direction, which... View Details
Keywords: Mentoring; Learning Direction; Interpersonal Communication; Learning; Leadership Development
Zhang, Ting, Dan Wang, and Adam D. Galinsky. "Learning Down to Train Up: Mentors Are More Effective When They Value Insights from Below." Academy of Management Journal 66, no. 2 (April 2023): 604–637.
- Article
From Orientation to Behavior: The Interplay Between Learning Orientation, Open-mindedness, and Psychological Safety in Team Learning
By: Jean-François Harvey, Kevin J. Johnson, Kathryn S. Roloff and Amy C. Edmondson
Do teams with motivation to learn actually engage in the behaviors that produce learning? Though team learning orientation has been found to be positively related to team learning, we know little about how and when it actually fosters team learning. It is obviously not... View Details
Keywords: Emergent States; Goal Orientation; Open-mindedness; Psychological Safety; Team Learning; Teams; Groups and Teams; Learning; Goals and Objectives
Harvey, Jean-François, Kevin J. Johnson, Kathryn S. Roloff, and Amy C. Edmondson. "From Orientation to Behavior: The Interplay Between Learning Orientation, Open-mindedness, and Psychological Safety in Team Learning." Human Relations 72, no. 11 (November 2019): 1726–1751.
- Article
Development of a Deep Learning Algorithm for Periapical Disease Detection in Dental Radiographs
By: Michael G. Endres, Florian Hillen, Marios Salloumis, Ahmad R. Sedaghat, Stefan M. Niehues, Olivia Quatela, Henning Hanken, Ralf Smeets, Benedicta Beck-Broichsitter, Carsten Rendenbach, Karim R. Lakhani, Max Helland and Robert A. Gaudin
Periapical radiolucencies, which can be detected on panoramic radiographs, are one of the most common radiographic findings in dentistry and have a differential diagnosis including infections, granuloma, cysts, and tumors. In this study, we seek to investigate the... View Details
Keywords: Artificial Intelligence; Diagnosis; Computer-assisted; Image Interpretation; Machine Learning; Radiography; Panoramic Radiograph; AI and Machine Learning
Endres, Michael G., Florian Hillen, Marios Salloumis, Ahmad R. Sedaghat, Stefan M. Niehues, Olivia Quatela, Henning Hanken, Ralf Smeets, Benedicta Beck-Broichsitter, Carsten Rendenbach, Karim R. Lakhani, Max Helland, and Robert A. Gaudin. "Development of a Deep Learning Algorithm for Periapical Disease Detection in Dental Radiographs." Diagnostics 10, no. 6 (June 2020).
- May 2018
- Article
Using Online Prices for Measuring Real Consumption Across Countries
By: Alberto Cavallo, Erwin Diewert, Robert C. Feenstra, Robert Inklaar and Marcel P. Timmer
We show that online prices can be used to construct quarterly purchasing power parities (PPPs) with a closely matched set of goods and identical methodologies in a variety of developed and developing countries. Our results are close to those reported by the... View Details
Keywords: Purchasing Power Parity; International Economy; Online Prices; Billion Prices Project; Economics; Macroeconomics; Price; Internet and the Web; Spending; Economy; Global Range; Measurement and Metrics
Cavallo, Alberto, Erwin Diewert, Robert C. Feenstra, Robert Inklaar, and Marcel P. Timmer. "Using Online Prices for Measuring Real Consumption Across Countries." AEA Papers and Proceedings 108 (May 2018): 483–487.
- Article
The Intensity of Ethnic Affiliation: A Study in the Sociology of Hispanic Consumption
By: Rohit Deshpandé, Wayne D. Hoyer and Naveen Donthu
- Article
Payment Depreciation: The Behavioral Effects of Temporally Separating Payments from Consumption
By: J. T. Gourville and Dilip Soman
Gourville, J. T., and Dilip Soman. "Payment Depreciation: The Behavioral Effects of Temporally Separating Payments from Consumption." Journal of Consumer Research 25, no. 2 (September 1998): 160–174.
- 23 Oct 2013
2+2 Information Session: University of Pennsylvania
The information session is an opportunity for college and master degree students to learn more about the 2+2 application process to the MBA program and ask questions to an Admissions Board Member. The session will begin at 4:00 PM EST in Levine Hall Conference Room... View Details
- March 2000
- Supplement
Types of Learning Processes
By: David A. Garvin and Jeffrey Berger
Garvin, David A., and Jeffrey Berger. "Types of Learning Processes." Harvard Business School Supplement 300-124, March 2000.
- Article
Early Withdrawal of Pandemic Unemployment Insurance: Effects on Earnings, Employment and Consumption
By: Kyle Coombs, Arindrajit Dube, Calvin Jahnke, Raymond Kluender, Suresh Naidu and Michael Stepner
In June 2021, 22 states ended all supplemental pandemic unemployment insurance (UI) benefits, eliminating benefits entirely for over 2 million workers and reducing benefits by $300 per week for over 1 million workers. Using anonymous bank transaction data and a... View Details
Keywords: COVID-19 Pandemic; Unemployment Insurance; Health Pandemics; Insurance; Employment; Financial Condition; Spending; Government Administration
Coombs, Kyle, Arindrajit Dube, Calvin Jahnke, Raymond Kluender, Suresh Naidu, and Michael Stepner. "Early Withdrawal of Pandemic Unemployment Insurance: Effects on Earnings, Employment and Consumption." AEA Papers and Proceedings 112 (May 2022): 85–90.
- June 2001
- Article
The Potential Downside of Bundling: How Packaging Services Can Hurt Consumption
By: John T. Gourville and Dilip Soman
Keywords: Customers
Gourville, John T., and Dilip Soman. "The Potential Downside of Bundling: How Packaging Services Can Hurt Consumption." Cornell Hotel and Restaurant Administration Quarterly 42, no. 3 (June 2001): 29–37.
- 11 Jun 2021
- News
The Future of Teaching and Learning
- August 2020
- Article
Machine Learning and Human Capital Complementarities: Experimental Evidence on Bias Mitigation
By: Prithwiraj Choudhury, Evan Starr and Rajshree Agarwal
The use of machine learning (ML) for productivity in the knowledge economy requires considerations of important biases that may arise from ML predictions. We define a new source of bias related to incompleteness in real time inputs, which may result from strategic... View Details
Choudhury, Prithwiraj, Evan Starr, and Rajshree Agarwal. "Machine Learning and Human Capital Complementarities: Experimental Evidence on Bias Mitigation." Strategic Management Journal 41, no. 8 (August 2020): 1381–1411.
- April 2020
- Article
Regulatory Oversight, Causal Inference, and Safe and Effective Health Care Machine Learning
By: Ariel Dora Stern and W. Nicholson Price, II
In recent years, the applications of Machine Learning (ML) in the health care delivery setting have grown to become both abundant and compelling. Regulators have taken notice of these developments and the U.S. Food and Drug Administration (FDA) has been engaging... View Details
Keywords: Machine Learning; Causal Inference; Health Care and Treatment; Safety; Governing Rules, Regulations, and Reforms
Stern, Ariel Dora, and W. Nicholson Price, II. "Regulatory Oversight, Causal Inference, and Safe and Effective Health Care Machine Learning." Biostatistics 21, no. 2 (April 2020): 363–367.
- 09 Nov 2016
- News
The Seeds of Learning
Adam Zmick (MBA 2011) is cofounder of Gardeneers, an environmental education organization based in Chicago, Illinois. In this interview, he explains the connections between learning about food and children’s... View Details
Inviting Consumers to Downsize Fast-Food Portions Significantly Reduces Calorie Consumption
Policies that mandate calorie labeling in fast-food and chain restaurants have had little or no observable impact on calorie consumption to date. In three field experiments, an alternative approach was tested: activating consumers’ self-control by having servers... View Details
- 2011
- Chapter
The Contribution of Teams to Organizational Learning
By: Kathryn S. Roloff, Anita W. Woolley and Amy C. Edmondson
Organizational learning theorists have proposed that teams play a critical role in organizational learning (Senge, 1990; Edmondson, 2002). Indeed, as organizations become increasingly more global, teams are formed to leverage knowledge, to increase efficiency, and to... View Details
Roloff, Kathryn S., Anita W. Woolley, and Amy C. Edmondson. "The Contribution of Teams to Organizational Learning." In Handbook of Organizational Learning and Knowledge Management. 2nd ed. Edited by M. Easterby-Smith and M. Lyles, 249–272. London: John Wiley & Sons, 2011.
- January 2020
- Article
The Long-Run Dynamics of Electricity Demand: Evidence from Municipal Aggregation
By: Tatyana Deryugina, Alexander MacKay and Julian Reif
We study the dynamics of residential electricity demand by exploiting a natural experiment that produced large and long-lasting price changes in over 250 Illinois communities. Using a flexible difference-in-differences matching approach, we estimate that the price... View Details
Keywords: Electricity Demand; Consumption Dynamics; Energy; Policy; Demand and Consumers; Price; Mathematical Methods
Deryugina, Tatyana, Alexander MacKay, and Julian Reif. "The Long-Run Dynamics of Electricity Demand: Evidence from Municipal Aggregation." American Economic Journal: Applied Economics 12, no. 1 (January 2020): 86–114.