UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Essays in Learning and Information

Bai, Guo; (2023) Essays in Learning and Information. Doctoral thesis (Ph.D), UCL (University College London). Green open access

[thumbnail of GuoBai_thesis.pdf]
Preview
Text
GuoBai_thesis.pdf - Accepted Version

Download (914kB) | Preview

Abstract

This thesis consists of three chapters that investigate how economic agents acquire information and learn from the information. I use theoretical models to understand information acquisition and learning. Chapter 1 studies how decision-makers acquire information when they compete for a first-mover advantage. I show that the first-mover advantage gives the decision-makers incentives to preempt. In equilibrium, decision-makers create strategic uncertainties on when they stop acquiring information and taking an action. Chapter 2 studies a single decision-maker’s search and learning problem in which the signals that can be obtained are binary. I show that the decision maker’s optimal strategy depends on her time risk attitude and her patience level. Chapter 3 investigates the question of whether a designer can learn how a decision-maker learns from information by observing the signals she receives and the actions she takes. It studies the probability of the designer learning the decision-maker’s prior and characterises the optimal payoff structure that maximises this probability.

Type: Thesis (Doctoral)
Qualification: Ph.D
Title: Essays in Learning and Information
Open access status: An open access version is available from UCL Discovery
Language: English
Additional information: Copyright © The Author 2022. Original content in this thesis is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) Licence (https://creativecommons.org/licenses/by-nc/4.0/). Any third-party copyright material present remains the property of its respective owner(s) and is licensed under its existing terms. Access may initially be restricted at the author’s request.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL SLASH
UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS
UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS > Dept of Economics
URI: https://discovery.ucl.ac.uk/id/eprint/10174737
Downloads since deposit
62Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item