Marx‐Biased Technical Change and Income Distribution: A Panel Data Analysis

33 Pages Posted: 29 May 2020

See all articles by Travis Campbell

Travis Campbell

University of Massachusetts at Amherst - College of Social and Behavioral Sciences - Department of Economics

Daniele Tavani

Colorado State University, Fort Collins - Department of Economics

Multiple version iconThere are 2 versions of this paper

Date Written: November 2019

Abstract

This paper provides a further empirical evaluation of the Neoclassical theory of distribution as opposed to Marx‐biased technical change (MBTC) using a series of panel estimators. We argue that a panel data analysis is instrumental in increasing the efficiency and validity of the test. Our results generalize previous findings in providing support for MBTC and against the Neoclassical theory of income distribution.

Suggested Citation

Campbell, Travis and Tavani, Daniele, Marx‐Biased Technical Change and Income Distribution: A Panel Data Analysis (November 2019). Metroeconomica, Vol. 70, Issue 4, pp. 655-687, 2019, Available at SSRN: https://ssrn.com/abstract=3613968 or http://dx.doi.org/10.1111/meca.12247

Travis Campbell (Contact Author)

University of Massachusetts at Amherst - College of Social and Behavioral Sciences - Department of Economics ( email )

Amherst, MA 01003
United States

Daniele Tavani

Colorado State University, Fort Collins - Department of Economics ( email )

Fort Collins, CO 80523-1771
United States
9704916657 (Phone)

HOME PAGE: http://https://economics.colostate.edu/author/dtavani/

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