The Impact of Expertise on Evaluator Bias and Variance
About this Event
Abstract:
Humans are prone to various biases when making decisions, including demographic biases like sexism and racism, and cognitive biases like framing effects, beauty effects, and information effects. We investigate how expertise affects the prevalence of these evaluation biases when assessing others. Unless demographic evaluation biases are extreme, they’re unlikely to be detected. Our idea is that as expertise increases, it reduces evaluation bias and decreases evaluation variance as the evaluator is less reliant on their biases. We use a behavioral lab with a financial literacy knowledge treatment midway through the experiment to change the level of expertise.
Agenda
🕑: 03:00 PM - 04:00 PM
Seminar
Host: Ben Smith
🕑: 04:30 PM
Appetizers and discussion at Inner Rail
Host: Economics Department
Info: To further the goal of having a social discussion, the Department will buy the first round of appetizers at Inner Rail at 4:30PM
Where is it happening?
Event Location & Nearby Stays:
USD 0.00
