ÂÜÀòÉç¹ÙÍø

JMR Updates – Feb 2024

Introduction

Journal of Marketing Research "How I Wrote This" on Debunking Misinformation

INTEREST CATEGORY: MARKETING RESEARCH
POSTING TYPE: Journal News

Posted by: Rebecca Hamilton


“How I Wrote This” Episode 7: Debunking Misinformation with Jessica Fong, Tong Guo and Anita Rao

In , JMR Co-editor talks with (University of Michigan), (Duke University) and (Georgetown University) about their forthcoming paper, “.â€

Perhaps you’ve seen a toothpaste ad that claimed their brand didn’t contain any toxic ingredients. Of course, this implies that their competitors do use toxic ingredients, which for most major brands isn’t true. This is precisely the type of misinformation the authors wanted to study: Does it increase consumers’ willingness-to-pay? Can a debunking message counteract the false claim? This team of authors came together after a chance encounter at a conference and a seminar visit prompted discussions around the misinformation they saw spreading in the early days of the COVID-19 pandemic. Tune in to learn more about how the project evolved in terms of its data, methods, and message on , , or wherever you get your podcasts. Follow the podcast on Twitter () or visit the podcast’s .

Instrumental and Non-instrumental Approaches to Identification

What are the key aspects to keep in mind while developing and implementing a robust identification strategy in non-experimental contexts? On Saturday, Feb. 24, at the Winter ÂÜÀòÉç¹ÙÍø Conference in St. Petersburg, FL, JMR Coeditor moderated a methods panel including former JMR Editor in Chief , Associate Editors and , and Editorial Review Board member .

Drawing on their own experiences with identification challenges, the panelists provided a behind the scenes perspective to attendees, describing how potential solutions evolve during the development of a manuscript. They discussed potential identification strategies ranging from complementing secondary data with lab/field experiments, leveraging institutional details to develop appropriate instruments, and triangulating alternative estimation approaches when the context allows for staggered DiD models.