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

33 Pages Posted: 27 Jun 2018 Last revised: 4 Feb 2019

See all articles by Travis Campbell

Travis Campbell

Southern Oregon University

Daniele Tavani

Colorado State University, Fort Collins - Department of Economics

Multiple version iconThere are 2 versions of this paper

Date Written: February 2, 2019

Abstract

This paper provides a further empirical evaluation of the Neoclassical theory of distribution as opposed to Marx-biased technical change (MBTC) by applying the theoretical and empirical framework developed by Foley and Michl (1999), Michl (1999, 2009) and Basu (2010) to a panel of countries. Basu (2010) developed a test based on cross-sectional data: we argue that a panel data analysis is instrumental in increasing the efficiency and validity of the test. Our results generalize Basu’s findings in providing support for MBTC and against the Neoclassical theory of income distribution.

Keywords: Technical Change, Income Distribution, Panel Data

JEL Classification: B51, C33, D33, O47

Suggested Citation

Campbell, Travis and Tavani, Daniele, Marx-Biased Technical Change and Income Distribution: A Panel Data Analysis (February 2, 2019). Available at SSRN: https://ssrn.com/abstract=3196104 or http://dx.doi.org/10.2139/ssrn.3196104

Travis Campbell

Southern Oregon University ( email )

1250 Siskiyou Boulevard
Ashland, OR 97520-5022
United States

Daniele Tavani (Contact Author)

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

Fort Collins, CO 80523-1771
United States

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

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
93
Abstract Views
1,019
rank
380,090
PlumX Metrics