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Optimal Investment, Heterogeneous Consumption, and Best Time for Retirement

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

This paper studies an optimal investment and consumption problem with heterogeneous consumption of basic and luxury goods, together with the choice of time for retirement. The utility for luxury goods is not necessarily a concave function. The optimal heterogeneous consumption strategies for a class of nonhomothetic utility maximizer are shown to consume only basic goods when the wealth is small, to consume basic goods and make savings when the wealth is intermediate, and to consume almost all in luxury goods when the wealth is large. The optimal retirement policy is shown to be both universal, in the sense that all individuals should retire at the same level of marginal utility that is determined only by income, labor cost, discount factor and market parameters, and not universal, in the sense that all individuals can achieve the same marginal utility with different utility and wealth. It is also shown that individuals prefer to retire as time goes by if the marginal labor cost increases faster than that of income. The main tools used in analyzing the problem are from a partial differential equation and stochastic control theory including variational inequality and dual transformation. We finally conduct the simulation analysis for the featured model parameters to investigate practical and economic implications by providing their figures.

Original languageEnglish
Pages (from-to)832-847
Number of pages16
JournalOperations Research
Volume72
Issue number2
DOIs
Publication statusPublished - 1 Mar 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 10 - Reduced Inequalities
    SDG 10 Reduced Inequalities

Keywords

  • dual transformation
  • dynamic programming
  • free boundary problem
  • heterogeneous consumption
  • nonconcave utility
  • optimal stopping
  • variational inequality

ASJC Scopus subject areas

  • Computer Science Applications
  • Management Science and Operations Research

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