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: B41 B51 C63 (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: View citations in EconPapers (1)

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

Related works:
Journal Article: Computational methods and classical‐Marxian economics (2022)
Working Paper: Computational Methods and Classical-Marxian Economics (2021)
Working Paper: Computational Methods and Classical-Marxian Economics (2020)
Working Paper: Computational Methods and Classical-Marxian Economics (2020)
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Persistent link: https://EconPapers.repec.org/RePEc:mab:wpaper:2020-02

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