The Basket Residue Theory (BRT)
Authors
Department of Computing Sciences, Faculty of Science, Admiralty University of Nigeria (Nigeria)
Article Information
DOI: 10.51584/IJRIAS.2026.110200015
Subject Category: Mathematics
Volume/Issue: 11/2 | Page No: 164-178
Publication Timeline
Submitted: 2025-12-12
Accepted: 2025-12-18
Published: 2026-02-26
Abstract
This paper introduces the Basket Residue Theory (BRT) as a mathematical framework for assessing the real purchasing power of money, prosperity levels, poverty dynamics, and indirect wealth transfers in an economy. The model builds on variations in the prices of a representative basket of goods and services, offering a quantitative measure of real value erosion or enhancement over time. BRT extends beyond conventional inflation indices by integrating fiscal and monetary interactions into the valuation residue concept.
Keywords
Basket Residue Theory, Purchasing Power, Inflation, Prosperity Index, Poverty Dynamic
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References
1. Fisher, I. (1911). The Purchasing Power of Money. Macmillan. [Google Scholar] [Crossref]
2. Keynes, J. M. (1936). The General Theory of Employment, Interest, and Money. Macmillan. [Google Scholar] [Crossref]
3. Samuelson, P. A., & Nordhaus, W. D. (2010). Economics. McGraw-Hill. [Google Scholar] [Crossref]
4. Piketty, T. (2014). Capital in the Twenty-First Century. Harvard University Press. [Google Scholar] [Crossref]
5. Blanchard, O. (2017). Macroeconomics. Pearson. [Google Scholar] [Crossref]
6. Mishkin, F. S. (2019). The Economics of Money, Banking, and Financial Markets. Pearson. [Google Scholar] [Crossref]
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