Literature DB >> 25288811

Partial differential equation models in macroeconomics.

Yves Achdou1, Francisco J Buera2, Jean-Michel Lasry3, Pierre-Louis Lions4, Benjamin Moll5.   

Abstract

The purpose of this article is to get mathematicians interested in studying a number of partial differential equations (PDEs) that naturally arise in macroeconomics. These PDEs come from models designed to study some of the most important questions in economics. At the same time, they are highly interesting for mathematicians because their structure is often quite difficult. We present a number of examples of such PDEs, discuss what is known about their properties, and list some open questions for future research.
© 2014 The Author(s) Published by the Royal Society. All rights reserved.

Keywords:  firm size distribution; heterogeneous agents; income and wealth distribution; mean field games

Year:  2014        PMID: 25288811     DOI: 10.1098/rsta.2013.0397

Source DB:  PubMed          Journal:  Philos Trans A Math Phys Eng Sci        ISSN: 1364-503X            Impact factor:   4.226


  2 in total

1.  Partial differential equation models in the socio-economic sciences.

Authors:  Martin Burger; Luis Caffarelli; Peter A Markowich
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2014-11-13       Impact factor: 4.226

2.  Alternating the population and control neural networks to solve high-dimensional stochastic mean-field games.

Authors:  Alex Tong Lin; Samy Wu Fung; Wuchen Li; Levon Nurbekyan; Stanley J Osher
Journal:  Proc Natl Acad Sci U S A       Date:  2021-08-03       Impact factor: 11.205

  2 in total

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