Rational inattention dynamics: Inertia and delay in decision-making

Jakub Steiner, Colin Stewart, Filip Matějka

Research output: Contribution to journalArticlepeer-review


We solve a general class of dynamic rational inattention problems in which an agent repeatedly acquires costly information about an evolving state and selects actions. The solution resembles the choice rule in a dynamic logit model, but it is biased toward an optimal default rule that is independent of the realized state. The model provides the same fit to choice data as dynamic logit, but, because of the bias, yields different counterfactual predictions. We apply the general solution to the study of (i) the status quo bias; (ii) inertia in actions leading to lagged adjustments to shocks; and (iii) the tradeoff between accuracy and delay in decision‐making.
Original languageEnglish
Pages (from-to)521-553
Number of pages33
Issue number2
Early online date21 Mar 2017
Publication statusPublished - Mar 2017


  • dynamic logit
  • information acquisition
  • rational inattention
  • stochastic choice


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