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Indices of Informational Association and Analysis of Complex Socio-Economic Systems

1
Department of Economics, New School for Social Research, New York, NY 10003, USA
2
Department of Economics, University of Massachusets, Amherst, NY 01002, USA
*
Author to whom correspondence should be addressed.
Entropy 2019, 21(4), 367; https://doi.org/10.3390/e21040367
Received: 18 February 2019 / Revised: 22 March 2019 / Accepted: 1 April 2019 / Published: 4 April 2019
This paper is motivated by a distinctive appreciation of the difficulties posed by quantitative observational inquiry into complex social and economic systems. It develops ordinary and piecewise indices of joint and incremental informational association that enable robust approaches to a common problem in social inquiry: grappling with associations between a quantity of interest and two distinct sets of co-variates taking values over large numbers of individuals. The distinct analytical usefulness of these indices is illustrated with their application to inquiry into the systemic economic effects of patterns of discrimination by social identity in the U.S. economy. View Full-Text
Keywords: information theory; complex socio-economic systems; mathematical economics; mathematical sociology information theory; complex socio-economic systems; mathematical economics; mathematical sociology
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dos Santos, P.L.; Wiener, N. Indices of Informational Association and Analysis of Complex Socio-Economic Systems. Entropy 2019, 21, 367.

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