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Impatient in experiments, but patient in simulations: a challenge to a neoclassical model

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posted on 2014-01-01, 00:00 authored by Emin Gahramanov, Xueli TangXueli Tang
Despite ample empirical evidence on the prevalence of high discount rates among people, applied, quantitative-theoretical macro studies with exponential discounting often assume low positive, or even negative discount rate values. Relying on recent advances from the numerical optimal control branch of mathematics, we solve a neoclassical, continuous time model of endogenous consumption/saving and labor supply, and show that even if an agent has a moderately high discount rate, his labour supply and consumption behavior will be highly counterfactual. We provide a remedy to such counterfactual findings by augmenting a standard utility function based on recent evidences from the leisure sciences, while maintaining a rational choice approach of neoclassical economics.

History

Series

School Working Paper - Economics Series ; SWP 2014/2

Pagination

1 - 12

Publisher

Deakin University, School of Accounting, Economics and Finance

Place of publication

Geelong, Vic.

Language

eng

Notes

School working paper (Deakin University. School of Accounting, Economics and Finance) ; 2014/2 Despite ample empirical evidence on the prevalence of high discount rates among people, applied, quantitative-theoretical macro studies with exponential discounting often assume low positive, or even negative discount rate values. Relying on recent advances from the numerical optimal control branch of mathematics, we solve a neoclassical, continuous time model of endogenous consumption/saving and labor supply, and show that even if an agent has a moderately high discount rate, his labour supply and consumption behavior will be highly counterfactual. We provide a remedy to such counterfactual findings by augmenting a standard utility function based on recent evidences from the leisure sciences, while maintaining a rational choice approach of neoclassical economics.

Publication classification

CN.1 Other journal article

Copyright notice

2014, The Authors

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