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John Barkley Rosser
Prof.
Alternative spellings: Barkley Rosser J. B. Rosser J. Barkley Rosser, junior John Barkley Rosser, jun. J. Barkley Rosser John Barkley Rosser John Barkley-Rosser J. Barkey Rosser, Jr. J. Barkley Rosser
B:1948
Profession
Economist
Affiliations
James Madison University
Australian National University. Centre for Applied Macroeconomic Analysis
John Barkley Rosser Jr. (born 12 April 1948) is a mathematical economist and Professor of Economics at James Madison University in Harrisonburg, Virginia since 1988. He is known for work in nonlinear economic dynamics, including applications in economics of catastrophe theory, chaos theory, and complexity theory (complex dynamics, complexity economics). With Marina V. Rosser he invented the concept of the "new traditional economy". He introduced into economic discourse the concepts of chaotic bubbles, chaotic hysteresis (op. cit., p. 326), and econochemistry. He also invented the concepts of the megacorpstate and hypercyclic morphogenesis. He was the first to provide a mathematical model of the period of financial distress in a speculative bubble. With Marina V. Rosser and Ehsan Ahmed, he was the first to argue for a two-way positive link between income inequality (economic inequality) and the size of an underground economy in a nation. Rosser's equation has been used to forecast ratios of future Social Security benefits to current ones in real terms. (Source: DBPedia)
Q6104803
Publishing years
2
2023
1
2022
2
2021
4
2020
2
2018
2
2017
3
2016
2
2015
3
2014
5
2013
3
2012
4
2011
12
2010
6
2009
3
2008
4
2007
3
2006
4
2005
8
2004
4
2003
2
2002
4
2001
4
2000
7
1999
5
1998
4
1997
3
1996
4
1995
2
1993
3
1992
3
1991
2
1990
1
1989
1
1988
Series
The international library of critical writings in economics (4)
Journal of economic behavior & organization : JEBO (3)
Middlebury College working paper series (2)
Discussion paper / Tinbergen Institute (2)
CAMA working paper series (1)
Mathematics, microeconomics, macroeconomics, and finance (1)
The result list below will be reduced to the selected search terms. The terms are generated from the titles, abstracts and STW thesaurus of publications by the respective author.
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