Measurement of inflation: An alternative approach
The stochastic approach to index numbers has attracted renewed attention in recent times (e.g., Clements and Izan, 1981 and 1987; Diewert, 1995; Giles and McCann, 1994; and Selvanathan and Rao, 1994). One of the attractions of this approach is that it provides standard errors for the index numbers. This paper reviews the stochastic approach and extends the existing work by presenting an alternative approach to measure the rate of inflation. This approach has been demonstrated using consumption expenditure data for three countries, Australia, the United Kingdom (UK) and the United States (US).
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Volume (Year): 9 (2006)
Issue (Month): (November)
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- Clements, Kenneth W & Izan, H Y, 1987.
"The Measurement of Inflation: A Stochastic Approach,"
Journal of Business & Economic Statistics,
American Statistical Association, vol. 5(3), pages 339-350, July.
- K.W. Clements & H.Y. Izan, 1987. "The Measurement of Inflation: A stochastic approach," Economics Discussion / Working Papers 87-02, The University of Western Australia, Department of Economics.
- K.W. Clements & H.Y. Izan, 1984. "The Measurement of Inflation: a Stochastic Approach," Economics Discussion / Working Papers 84-10, The University of Western Australia, Department of Economics.
- Clements, Kenneth W & Izan, H Y, 1981. "A Note on Estimating Divisia Index Numbers," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 22(3), pages 745-747, October.
- Miller, Stephen, 1984. "Purchasing power parity and relative price variability : Evidence from the 1970s," European Economic Review, Elsevier, vol. 26(3), pages 353-367, December.
- Paul Crompton, 2000. "Extending the stochastic approach to index numbers," Applied Economics Letters, Taylor & Francis Journals, vol. 7(6), pages 367-371.
- Selvanathan, E. A. & Selvanathan, S., 2004. "Modelling the commodity prices in the OECD countries: a stochastic approach," Economic Modelling, Elsevier, vol. 21(2), pages 233-247, March.
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