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Show Results For
- All HBS Web
(2,347)
- People (22)
- News (636)
- Research (1,019)
- Events (32)
- Multimedia (17)
- Faculty Publications (519)
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- Article
No Taxation Without Information: Deterrence and Self-Enforcement in the Value Added Tax
By: Dina Pomeranz
Claims that the VAT facilitates tax enforcement by generating paper trails on transactions between firms contributed to widespread VAT adoption worldwide, but there is surprisingly little evidence. This paper analyzes the role of third-party information for VAT... View Details
Pomeranz, Dina. "No Taxation Without Information: Deterrence and Self-Enforcement in the Value Added Tax." American Economic Review 105, no. 8 (August 2015): 2539–2569. (Featured by CNN, Vox.eu, World Bank News, Bloomberg News and others.)
- Article
The Importance of Being Causal
By: Iavor I Bojinov, Albert Chen and Min Liu
Causal inference is the study of how actions, interventions, or treatments affect outcomes of interest. The methods that have received the lion’s share of attention in the data science literature for establishing causation are variations of randomized experiments.... View Details
Keywords: Causal Inference; Observational Studies; Cross-sectional Studies; Panel Studies; Interrupted Time-series; Instrumental Variables
Bojinov, Iavor I., Albert Chen, and Min Liu. "The Importance of Being Causal." Harvard Data Science Review 2.3 (July 30, 2020).
- Article
Best Practices for Differentiated Products Demand Estimation with PyBLP
Differentiated products demand systems are a workhorse for understanding the price effects of mergers, the value of new goods, and the contribution of products to seller networks. Berry, Levinsohn, and Pakes (1995) provide a flexible random coefficients logit model... View Details
Conlon, Chris, and Jeff Gortmaker. "Best Practices for Differentiated Products Demand Estimation with PyBLP." RAND Journal of Economics 51, no. 4 (2020): 1108–1161.
- 14 Mar 2016
- Working Paper Summaries
The Role of Incentive Salience in Habit Formation
- September 2019
- Article
Household Matters: Revisiting the Returns to Capital Among Female Microentrepreneurs
By: Arielle Bernhardt, Erica Field, Rohini Pande and Natalia Rigol
Multiple field experiments report positive financial returns to capital shocks for male and not female microentrepreneurs. But these analyses overlook the fact that female entrepreneurs often reside with male entrepreneurs. Using data from experiments in India, Sri... View Details
Bernhardt, Arielle, Erica Field, Rohini Pande, and Natalia Rigol. "Household Matters: Revisiting the Returns to Capital Among Female Microentrepreneurs." American Economic Review: Insights 1, no. 2 (September 2019): 141–160.
- January 2012
- Article
Paying to Be Nice: Consistency and Costly Prosocial Behavior
By: Ayelet Gneezy, Alex Imas, Amber Brown, Leif D. Nelson and Michael I. Norton
Building on previous research in economics and psychology, we propose that the costliness of initial prosocial behavior positively influences whether that behavior leads to consistent future behaviors. We suggest that costly prosocial behaviors serve as a signal of... View Details
Gneezy, Ayelet, Alex Imas, Amber Brown, Leif D. Nelson, and Michael I. Norton. "Paying to Be Nice: Consistency and Costly Prosocial Behavior." Management Science 58, no. 1 (January 2012): 179–187.
- Research Summary
Intra-Household Decision Making
Professor Ashraf's research in intra-household decision making examines how households make financial and health decisions, particularly in the presence of asymmetric information or benefits.
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- Article
A Prescriptive Analytics Framework for Optimal Policy Deployment Using Heterogeneous Treatment Effects
By: Edward McFowland III, Sandeep Gangarapu, Ravi Bapna and Tianshu Sun
We define a prescriptive analytics framework that addresses the needs of a constrained decision-maker facing, ex ante, unknown costs and benefits of multiple policy levers. The framework is general in nature and can be deployed in any utility maximizing context, public... View Details
Keywords: Prescriptive Analytics; Heterogeneous Treatment Effects; Optimization; Observed Rank Utility Condition (OUR); Between-treatment Heterogeneity; Machine Learning; Decision Making; Analysis; Mathematical Methods
McFowland III, Edward, Sandeep Gangarapu, Ravi Bapna, and Tianshu Sun. "A Prescriptive Analytics Framework for Optimal Policy Deployment Using Heterogeneous Treatment Effects." MIS Quarterly 45, no. 4 (December 2021): 1807–1832.
- 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.
- 30 Nov 2015
- Research & Ideas
Donors Are Turned Off by Overhead Costs. Here’s What Charities Can Do
as a doctoral student at the University of California, San Diego, where she conducted a series of laboratory and field experiments with UCSD’s Uri Gneezy, a professor of economics and strategy, and Ayelet... View Details
Keywords: by Carmen Nobel
- Working Paper
Shifting Work Patterns with Generative AI
By: Eleanor W. Dillon, Sonia Jaffe, Nicole Immorlica and Christopher T. Stanton
We present evidence on how generative AI changes the work patterns of knowledge workers using
data from a 6-month-long, cross-industry, randomized field experiment. Half of the 7,137 workers
in the study received access to a generative AI tool integrated into the... View Details
Dillon, Eleanor W., Sonia Jaffe, Nicole Immorlica, and Christopher T. Stanton. "Shifting Work Patterns with Generative AI." NBER Working Paper Series, No. 33795, May 2025. (Conditionally Accepted at American Economic Review: Insights .)
- Fall 2016
- Article
The Impact of Supplier Inventory Service Level on Retailer Demand
By: Nathan Craig, Nicole DeHoratius and Ananth Raman
To set inventory service levels, suppliers must understand how changes in inventory service level affect demand. We build on prior research, which uses analytical models and laboratory experiments to study the impact of a supplier’s service level on demand from... View Details
Keywords: Demand and Consumers; Service Delivery; Supply Chain; Order Taking and Fulfillment; Retail Industry
Craig, Nathan, Nicole DeHoratius, and Ananth Raman. "The Impact of Supplier Inventory Service Level on Retailer Demand." Manufacturing & Service Operations Management 18, no. 4 (Fall 2016): 461–474.
- July 2023
- Article
Impacts of Electricity Quality Improvements: Experimental Evidence on Infrastructure Investments
By: Robyn C. Meeks, Arstan Omuraliev, Ruslan Isaev and Zhenxuan Wang
Hundreds of millions of households depend on electricity grid connections providing low quality and unreliable services. Understanding the impacts of and consumer response to electricity quality improvements is important for development and the environment. We... View Details
Meeks, Robyn C., Arstan Omuraliev, Ruslan Isaev, and Zhenxuan Wang. "Impacts of Electricity Quality Improvements: Experimental Evidence on Infrastructure Investments." Art. 102838. Journal of Environmental Economics and Management 120 (July 2023).
- Research Summary
Current Projects
To further study team coaching and creativity, I have undertaken two field-based studies. In collaboration with Teresa Amabile, I am exploring helping and collaborative behaviors though the analysis of daily diary entries from creative work teams at a design firm.... View Details
- 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.
- 16 Feb 2016
- Working Paper Summaries
Diversity and Team Performance in a Kenyan Organization
- Article
Contingent Match Incentives Increase Donations
By: Lalin Anik, Michael I. Norton and Dan Ariely
We propose a new means by which non-profits can induce donors to give today and commit to giving in the future: contingent match incentives, in which matching is made contingent on the percentage of others who give (e.g., "if X% of others give, we will match all... View Details
Keywords: Matching Donations; Social Proof; Prosocial Behavior; Charitable Giving; Plausibility; Motivation and Incentives; Philanthropy and Charitable Giving
Anik, Lalin, Michael I. Norton, and Dan Ariely. "Contingent Match Incentives Increase Donations." Journal of Marketing Research (JMR) 51, no. 6 (December 2014): 790–801.
- 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.
- 2016
- Working Paper
The Impact of Supplier Inventory Service Level on Retailer Demand
By: Nathan Craig, Nicole DeHoratius and Ananth Raman
To set inventory service levels, suppliers must understand how changes in inventory service level affect demand. We build on prior research, which uses analytical models and laboratory experiments to study the impact of a supplier's service level on demand from... View Details
Keywords: Customer Satisfaction; Forecasting and Prediction; Learning; Consumer Behavior; Service Delivery; Performance Expectations; Apparel and Accessories Industry; Service Industry
Craig, Nathan, Nicole DeHoratius, and Ananth Raman. "The Impact of Supplier Inventory Service Level on Retailer Demand." Working Paper. (Revised January 2016.)
- 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.