• Graduate program
  • Research
  • Summer School
  • Events
    • Summer School
      • Applied Public Policy Evaluation
      • Deep Learning
      • Economics of Blockchain and Digital Currencies
      • Economics of Climate Change
      • Foundations of Machine Learning with Applications in Python
      • From Preference to Choice: The Economic Theory of Decision-Making
      • Gender in Society
      • Machine Learning for Business
      • Sustainable Finance
      • Tuition Fees and Payment
      • Business Data Science Summer School Program
    • Events Calendar
    • Events Archive
    • Tinbergen Institute Lectures
    • 16th Tinbergen Institute Annual Conference
    • Annual Tinbergen Institute Conference
  • News
  • Alumni
  • Magazine
Home | Events Archive | Noisy Foresight
Seminar

Noisy Foresight


  • Series
  • Speaker(s)
    Anujit Chakraborty (University of California, Davis)
  • Field
    Behavioral Economics
  • Location
    University of Amsterdam, Roeterseilandcampus, Room E0.09
    Amsterdam
  • Date and time

    March 23, 2023
    16:00 - 17:15

Abstract
In dynamic settings, rational agents must reason contingently about future states and actions, but failures of contingent reasoning are ubiquitous. How should we model boundedly rational agents who fail to correctly forecast future actions? We conduct an experiment in which subjects must forecast their own actions, finding that they often fail to do so. We use the rich dataset to compare five potential models of behavior which differ in how boundedly rational subjects perceive future payoffs. A model in which subjects expect to make more mistakes when the utility consequences of their future actions are more similar best explains behavior.

(This is joint work with Chad Kendall)