Abstract
Model misspecification is a common approach to model belief formation distortions. Misspecified models can be decomposed into two classes of distortions: prospective and retrospective biases (Bohren and Hauser 2023). Prospective biases correspond to distortions in forecasting future beliefs, while retrospective biases correspond to distortions in interpreting information ex post. We disentangle the impact of these two distortions on optimal lending contracts in the context of an entrepreneur who borrows to invest in a project. The entrepreneur learns about project quality from a signal, which she interprets with a misspecified model. A lender leverages each form of bias in distinct ways.
Original language | English |
---|---|
Pages (from-to) | 665-672 |
Journal | AEA Papers and Proceedings |
Volume | 113 |
DOIs | |
Publication status | Published - 1 May 2023 |
MoE publication type | B3 Non-refereed conference publication |
Event | American Economic Association Annual Meeting - New Orleans, United States Duration: 6 Jan 2023 → 8 Jan 2023 |