EconPapers    
Economics at your fingertips  
 

Computational Methods and Classical-Marxian Economics

Jonathan Cogliano, Roberto Veneziani and Naoki Yoshihara

No 2020-02, Working Papers from University of Massachusetts Boston, Economics Department

Abstract: This article surveys computational approaches to classical-Marxian economics. These approaches include a range of techniques - such as numerical simulations, agent-based models, and Monte Carlo methods - and cover many areas within the classical-Marxian tradition. We focus on three major themes in classical-Marxian economics, namely price and value theory; inequality, exploitation, and classes; and technical change, profitability, growth and cycles. We show that computational methods are particularly well-suited to capture certain key elements of the vision of the classical-Marxian approach and can be fruitfully used to make significant progress in the study of classical-Marxian topics.

Keywords: Computational Methods; Agent-Based Models; Classical Economists; Marx (search for similar items in EconPapers)
JEL-codes: C63 B51 B41 (search for similar items in EconPapers)
Pages: 40 pages
Date: 2020-09
New Economics Papers: this item is included in nep-hme, nep-isf, nep-ore and nep-pke
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
http://repec.umb.edu/RePEc/files/2020_02.pdf (application/pdf)

Related works:
Working Paper: Computational Methods and Classical-Marxian Economics (2020) Downloads
Working Paper: Computational Methods and Classical-Marxian Economics (2020) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:mab:wpaper:2020-02

Access Statistics for this paper

More papers in Working Papers from University of Massachusetts Boston, Economics Department Contact information at EDIRC.
Bibliographic data for series maintained by Harry Konstantinidis ().

 
Page updated 2021-01-27
Handle: RePEc:mab:wpaper:2020-02