Christopher P. Roth
Department of Economics
University of Warwick
Coventry CV4 7AL
Institutional Affiliation: University of Warwick
NBER Working Papers and Publications
|June 2020||Misinformation During a Pandemic|
with Leonardo Bursztyn, Aakaash Rao, David H. Yanagizawa-Drott: w27417
We study the effects of COVID-19 coverage early in the pandemic by the two most widely-viewed cable news shows in the United States – Hannity and Tucker Carlson Tonight, both on Fox News – on downstream health outcomes. We first document large differences in content between the shows and in cautious behavior among viewers. Through both a selection-on-observables strategy and a novel instrumental variable approach, we find that areas with greater exposure to the show downplaying the threat of COVID-19 experienced a greater number of cases and deaths. We assess magnitudes through a simple epidemiological model highlighting the role of externalities and provide evidence that misinformation is a key underlying mechanism.
|May 2020||I Have Nothing Against Them, But. . .|
with Leonardo Bursztyn, Ingar K. Haaland, Aakaash Rao: w27288
We study the use of excuses to justify socially stigmatized actions, such as opposing minority groups. Rationales to oppose minorities change some people’s private opinions, leading them to take anti-minority actions even if they are not prejudiced against minorities. When these rationales become common knowledge, prejudiced people who are not persuaded by the rationale can pool with unprejudiced people who are persuaded. This decreases the stigma associated with anti-minority expression, increasing public opposition to minority groups. We examine this mechanism through several large-scale experiments in the context of anti-immigrant behavior in the United States. In the first main experiment, participants learn about a study claiming that immigrants increase crime rates and then choose wh...
|Global Behaviors and Perceptions at the Onset of the COVID-19 Pandemic|
with Thiemo R. Fetzer, Marc Witte, Lukas Hensel, Jon Jachimowicz, Johannes Haushofer, Andriy Ivchenko, Stefano Caria, Elena Reutskaja, Stefano Fiorin, Margarita Gómez, Gordon Kraft-Todd, Friedrich M. Götz, Erez Yoeli: w27082
We conducted a large-scale survey covering 58 countries and over 100,000 respondents between late March and early April 2020 to study beliefs and attitudes towards citizens’ and governments’ responses to the COVID-19 pandemic. Most respondents reacted strongly to the crisis: they report engaging in social distancing and hygiene behaviors, and believe that strong policy measures, such as shop closures and curfews, are necessary. They also believe that their government and their country’s citizens are not doing enough and underestimate the degree to which others in their country support strong behavioral and policy responses to the pandemic. The perception of a weak government and public response is associated with higher levels of worries and depression. Using both cross-country panel data ...
|June 2017||Measuring and Bounding Experimenter Demand|
with Jonathan de Quidt, Johannes Haushofer: w23470
We propose a technique for assessing robustness of behavioral measures and treatment effects to experimenter demand effects. The premise is that by deliberately inducing demand in a structured way we can measure its influence and construct plausible bounds on demand-free behavior. We provide formal restrictions on choice that validate our method, and a Bayesian model that microfounds them. Seven pre-registered experiments with eleven canonical laboratory games and around 19,000 participants demonstrate the technique. We also illustrate how demand sensitivity varies by task, participant pool, gender, real versus hypothetical incentives, and participant attentiveness, and provide both reduced-form and structural analyses of demand effects.
Published: Jonathan de Quidt & Johannes Haushofer & Christopher Roth, 2018. "Measuring and Bounding Experimenter Demand," American Economic Review, vol 108(11), pages 3266-3302. citation courtesy of