Back to search

University of Oregon

Behavioral Biases in General Equilibrium: Implications for Wealth Inequality and Human Capital Formation

Abstract

dc:description.abstract

My research focuses on the integration of behavioral economics into well understood general equilibrium macroeconomic models populated by overlapping generations of heterogeneous agents. Specifically, I analyze the implications of populating model economies with present-biased agents who are finitely lived, subject to idiosyncratic labor income shocks, and heterogeneous in both exponential and present-biased discount factors. My primary goal is characterizing the contribution of behavioral biases towards resolving several issues in the literature pertaining to human capital investment and aggregate wealth inequality. Further, the inclusion of present bias in carefully calibrated model economies allows me to rationalize empirical differences in consumption, wealth, and education that arise between observationally similar households that models of homogeneous, exponential discounters are unable to match.

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
doctoral
Discipline thesis:degree_discipline
Department of Economics
Grantor dc:publisher
University of Oregon
Year dc:date.issued
2018

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Nighswander, Tristan
Advisor dc:contributor.advisor
  • Chakraborty, Shankha

Subjects

dc:subject × 4

Rights

dc:rights
Statement dc:rights
  • All Rights Reserved.
Language dc:language.iso
en_US

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1794/23811

Chain of custody

source
Harvested from
University of Oregon
Base URL
scholarsbank.uoregon.edu/server/oai/request
Last updated
2026-08-21
Source record
OAI-PMH GetRecord
citation

Nighswander, Tristan. Behavioral Biases in General Equilibrium: Implications for Wealth Inequality and Human Capital Formation. doctoral thesis, University of Oregon, 2018. https://hdl.handle.net/1794/23811