Individual and Social Learning: An Implementation of Bounded Rationality from First Principles
Year: 2015
Type: dissertation
Abstract: This dissertation expands upon a growing economic literature that uses tools from reinforcement learning and approximate dynamic programming to impose bounded rationality in intertemporal choice problems. My dissertation contributes to the literature by applying these tools to the canonical household consumption under uncertainty problem. The three essays explore individual and social approaches to learning-to-optimize and how these may be brought to data.
DOI: 10.13021/mars/8151
Author: Palmer, Nathan Michael
Language: English
Subfield: General Decision Sciences
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W2520104055