We build a model of online behavioral manipulation driven by AI advances. A platform dynamically offers one of n products to a user who slowly learns product quality. User learning depends on a product's "glossiness,' which captures attributes that make products appear more attractive than they...

Rich behavioral biases, mistakes and limits on rational decision-making are often thought to make equilibrium analysis much more intractable. We show that this is not the case in the context of the neoclassical growth model (potentially incorporating incomplete markets and distortions). We break...

Most economic analyses presume that there are limited differences in the prior beliefs of individuals, as assumption most often justified by the argument that sufficient common experiences and observations will eliminate disagreements. We investigate this claim using a simple model of Bayesian...

Most economic analyses presume that there are limited differences in the prior beliefs of individuals, as assumption most often justified by the argument that sufficient common experiences and observations will eliminate disagreements. We investigate this claim using a simple model of Bayesian...

Rich behavioral biases, mistakes and limits on rational decision-making are often thought to make equilibrium analysis much more intractable. We show that this is not the case in the context of the neoclassical growth model (potentially incorporating incomplete markets and distortions). We break...

Rich behavioural biases, mistakes, and limits on rational decision-making are often thought to make equilibrium analysis much more intractable. We establish that this is not the case in the context of one-sector growth models such as Ramsey-Cass-Koopmans or Bewley-Aiyagari models. We break down...