Publications

SSRN

24 Aug 2018
Video

Customer Interaction Days

April 2020
Article

Designs for Estimating the Treatment Effect in Networks with Interference

By: Ravi Jagadeesan, Natesh S. Pillai and Alexander Volfovsky

In this paper, we introduce new, easily implementable designs for drawing causal inference from randomized experiments on networks with interference. Inspired by the idea of matching in observational studies, we introduce the notion of considering a treatment... View Details

Keywords: Experimental Design; Network Inference; Neyman Estimator; Symmetric Interference Model; Homophily

28 Nov 2018
HBS Seminar

Paul Niehaus, University of California San Diego, Department of Economics

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

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

Purchase

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... View Details

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

Purchase

14 Mar 2016
Working Paper Summaries

The Role of Incentive Salience in Habit Formation

Keywords: by Leslie John, Katherine L. Milkman, Francesca Gino, Bradford Tuckfield, and Luca Foschini; Health

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.

"View Details

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

Keywords: Capital Return; Entrepreneurship; Gender; Household; Capital

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

Keywords: Behavior; Perception; Performance Consistency; Identity

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

Keywords: AI and Machine Learning; Behavior; Time Management

18 Mar 2016
Blog Post

What is an IFC?

sector and this was a chance to dive deep into challenges and opportunities facing the governments of Lima and Buenos Aires (with implications for cities across the world as well). The experience was similar to View Details

Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation.

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

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

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