Predicting crises: Five essays on the mathematic prediction of economic and social crises

Scott Albers

MPRA Paper from University Library of Munich, Germany

Abstract: This volume – Predicting Crisis: Five Essays on the Mathematic Prediction of Economic and Social Crises – is the first of three sets of essays. In this first set the economic and social history of the United States is shown to be a “system of movement,” i.e. a logical and mathematic progression of events which may be analyzed according to a set formula. The model proposed demonstrates that the citizen’s individual “consciousness” is writ large in the macro-economic statistics of this unique economy and thereby made available for inspection at other levels of reality.

Keywords: Fifth dimension; consciousness; unemployment; Okun’s Law; real GNP; crisis; prediction; mathematics; economic history; cycle; Kondratiev wave; long wave; Golden Mean; phi; pi; mathematic ratio; octave; music; political economy wave; Kaluza; General Theory of Relativity; complexity (search for similar items in EconPapers)
JEL-codes: A10 A12 A13 B0 B24 B31 B4 B40 B41 B5 B50 B51 B52 B59 C0 C00 C02 C22 C5 C53 D0 D00 D4 E0 E1 E3 K0 K00 N0 N00 (search for similar items in EconPapers)
Date: 2012-12-29
New Economics Papers: this item is included in nep-for and nep-hme
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Published in Middle East Studies On-line Journal Issue 6.Volume(2011): pp. 199-253

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/43484/1/MPRA_paper_43484.pdf original version (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:43484

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().