We are all behavioral, more or less: New consumer-level summary statistics for multiple behavioral factors
Understanding the prevalence, diversity and predictive power of behavioral factors—deviations from classical assumptions about consumer choice—is critical for theory, research and policy.
In recent decades, research at the intersection of economics and psychology has identified a range of behavioral factors – including present-bias, failure to understand compounding and biased beliefs about asset allocation – that help explain economic decisions. While insights from behavioral research have become important inputs for economists and policymakers, two critical knowledge gaps remain: How widespread are behavioral factors and how do they affect retirement planning and outcomes? This study takes a comprehensive look at these questions, employing innovative methods to generate representative data.
The study data come from the RAND American Life Panel (ALP), an online, nationally representative survey panel established by RAND and the University of Michigan. ALP sampling weights match the distribution of age, sex, ethnicity, and income to the Current Population Survey. In consultation with ALP staff, the researchers created six survey modules to conduct elicitations of 16 potentially behavioral factors, and 1,515 people age 18 or older responded to at least one survey question.