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...

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...

Using a large-scale online experiment with more than 8,000 U.S. respondents, we examine how the demand for a politics newsletter changes when the newsletter content is fact-checked. We first document an overall muted demand for fact-checking when the newsletter features stories from an...

Using a large-scale online experiment with more than 8,000 U.S. respondents, we examine how the demand for a politics newsletter changes when the newsletter content is fact-checked. We first document an overall muted demand for fact-checking when the newsletter features stories from an...

In a large-scale online experiment with U.S. Democrats, we examine how the demand for a newsletter about an economic relief plan changes when the newsletter content is fact-checked. We first document an overall muted demand for factchecking when the newsletter features stories from an...

In a large-scale online experiment with U.S. Democrats, we examine how the demand for a newsletter about an economic relief plan changes when the newsletter content is fact-checked. We first document an overall muted demand for fact-checking when the newsletter features stories from an...