Operational identification of the complete class of superlative index numbers: an application of Galois theory
AbstractWe provide an operational identification of the complete class of superlative index numbers to track the exact aggregator functions of economic aggregation theory. If an index number is linearly homogeneous and a second order approximation in a formal manner that we define, we prove the index to be in the superlative index number class of nonparametric functions. Our definition is mathematically equivalent to Diewert¡¯s most general definition. But when operationalized in practice, our definition permits use of the full class, while Diewert¡¯s definition, in practice, spans only a strict subset of the general class. The relationship between the general class and that strict subset is a consequence of Galois theory. Only a very small number of elements of the general class have been found by Diewert¡¯s method, despite the fact that the general class contains an infinite number of functions. We illustrate our operational, general approach by proving for the first time that a particular family of nonparametric functions, including the Sato-Vartia index, is within the superlative index number class.
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Bibliographic InfoPaper provided by University of Kansas, Department of Economics in its series WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS with number 200604.
Length: 22 pages
Date of creation: Feb 2006
Date of revision:
Exact index numbers; superlative index number class; Divisia line integrals; aggregator function space; Galois theory.;
Other versions of this item:
- Barnett, William A. & Choi, Ki-Hong, 2008. "Operational identification of the complete class of superlative index numbers: An application of Galois theory," Journal of Mathematical Economics, Elsevier, vol. 44(7-8), pages 603-612, July.
- Barnett, William A. & Choi, Ki-Hong, 2006. "Operational identification of the complete class of superlative index numbers: an application of Galois theory," MPRA Paper 416, University Library of Munich, Germany.
- C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
- E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts
- D - Microeconomics
This paper has been announced in the following NEP Reports:
- NEP-ALL-2006-02-19 (All new papers)
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