Publications

SSRN

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

The phenomenon of population interference, where a treatment assigned to one experimental unit affects another experimental unit’s outcome, has received considerable attention in standard randomized experiments. The complications produced by population... View Details

January 2024
Article

Population Interference in Panel Experiments

By: Kevin Wu Han, Guillaume Basse and Iavor Bojinov

The phenomenon of population interference, where a treatment assigned to one experimental unit affects another experimental unit’s outcome, has received considerable attention in standard randomized experiments. The complications produced by population interference in... View Details

Keywords: Outcome or Result; Research; Situation or Environment

Register to Read

13 Apr 2021
Working Paper Summaries

Population Interference in Panel Experiments

Keywords: by Iavor I. Bojinov, Kevin Wu Han, and Guillaume Basse

2024
Working Paper

Design of Panel Experiments with Spatial and Temporal Interference

By: Tu Ni, Iavor Bojinov and Jinglong Zhao

One of the main practical challenges companies face when running experiments (or A/B tests) over a panel is interference, the setting where one experimental unit's treatment assignment at one time period impacts another's outcomes, possibly at the following time... View Details

Keywords: Research

SSRN

One of the main practical challenges companies face when running experiments (or A/B tests) over a panel is interference, the setting where one experimental unit's treatment assignment at one time period impacts another's outcomes, possibly at the following time... View Details

June 2014
Article

Building Brand Knowledge Structures: Elaboration and Interference Effects on the Processing of Sequentially Advertised Brand Benefit Claims

By: Susan E. Heckler, Kevin L. Keller, Michael J. Houston and Jill Avery

Two experiments are reported that examine the effects of an ad campaign designed to link two different benefit claims to a brand. The findings indicated that recall for a subsequently advertised claim depended on the strength of existing brand-benefit links in memory.... View Details

Keywords: Marketing Communication; Brand Building; Brand Management; Brands; Advertising; Consumer Psychology; Advertising Campaigns; Brands and Branding; Marketing Communications; Consumer Behavior; Marketing Strategy; Advertising Industry; Consumer Products Industry

Purchase

22 Oct 2020
Working Paper Summaries

Estimating Causal Effects in the Presence of Partial Interference Using Multivariate Bayesian Structural Time Series Models

Keywords: by Fiammetta Menchetti and Iavor Bojinov

Article

Memory and Representativeness

By: Pedro Bordalo, Katherine Baldiga Coffman, Nicola Gennaioli, Frederik Schwerter and Andrei Shleifer

We explore the idea that judgment by representativeness reflects the workings of episodic memory, especially interference. In a new laboratory experiment on cued recall, participants are shown two groups of images with different distributions of colors. We find that i)... View Details

Keywords: Cued Recall; Interference; Similarity; Probabilistic Judgments; Heuristics And Biases

March 2022
Article

Estimating the Effectiveness of Permanent Price Reductions for Competing Products Using Multivariate Bayesian Structural Time Series Models

By: Fiammetta Menchetti and Iavor Bojinov

Researchers regularly use synthetic control methods for estimating causal effects when a sub-set of units receive a single persistent treatment, and the rest are unaffected by the change. In many applications, however, units not assigned to treatment are nevertheless... View Details

Keywords: Causal Inference; Partial Interference; Synthetic Controls; Bayesian Structural Time Series; Mathematical Methods

2024
Working Paper

Empirical Guidance: Data Processing and Analysis with Applications in Stata, R, and Python

By: Melissa Ouellet and Michael W. Toffel

This paper describes a range of best practices to compile and analyze datasets, and includes some examples in Stata, R, and Python. It is meant to serve as a reference for those getting started in econometrics, and especially those seeking to conduct data analyses in... View Details

Keywords: Empirical Methods; Empirical Operations; Statistical Methods And Machine Learning; Statistical Interferences; Research Analysts; Analytics and Data Science; Mathematical Methods

SSRN

24 Oct 2018
HBS Seminar

Ina Ganguli, University of Massachusetts Amherst

Victor Gbolade Osibodu

Keywords: Diversified

24 Jul 2017
News

To Improve Wireless Networks, Auction the Airwaves

2017
Simulation

Global Collaboration Simulation: Tip of the Iceberg

By: Tsedal Neeley

This online simulation teaches students about the difficulties in cross-cultural communication and managing global teams. Communicating via chat, teams of 4 or 5 students race against the clock to prepare a VC presentation. Students are assigned the role of a native... View Details

Keywords: Cross-Cultural and Cross-Border Issues; Interpersonal Communication; Groups and Teams; Social and Collaborative Networks

Purchase

03 Jun 2019
Working Paper Summaries

Memory and Representativeness

Keywords: by Pedro Bordalo, Katherine Baldiga Coffman, Nicola Gennaioli, Frederik Schwerter, and Andrei Shleifer

11 Mar 2013
Video

chillbaby - Episode 1 - Moms Needed

15 Jul 2020
News

In Virtual Fireside Chat, Laura Huang Advises Female Founders on Finding—and Utilizing—their ‘Edge’

2022
Working Paper

Stories, Statistics and Memory

By: Thomas Graeber, Christopher Roth and Florian Zimmermann

For most decisions, we rely on information encountered over the course of days, months or years. We consume this information in various forms, including abstract summaries of multiple data points – statistics – and contextualized anecdotes about individual instances... View Details

Keywords: Decision Choices and Conditions; Information Types; Media; Cognition and Thinking