Optimal Lending Contracts with Retrospective and Prospective Bias

J. Aislinn Bohren, Daniel N. Hauser

Research output: Contribution to journalConference articleScientific

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 languageEnglish
Pages (from-to)665-672
JournalAEA Papers and Proceedings
Volume113
DOIs
Publication statusPublished - 1 May 2023
MoE publication typeB3 Non-refereed conference publication
EventAmerican Economic Association Annual Meeting - New Orleans, United States
Duration: 6 Jan 20238 Jan 2023

Fingerprint

Dive into the research topics of 'Optimal Lending Contracts with Retrospective and Prospective Bias'. Together they form a unique fingerprint.

Cite this