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Extending the stochastic approach to index numbers

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  • Paul Crompton

Abstract

The variance of the inflation rate estimator in the stochastic approach of Clements and Izan will be biased in most applications due to stringent restrictions on the variance of the OLS error term. To overcome this weakness, the stochastic methodology is reformulated and extended by deriving a variance estimator which is robust to unknown forms of heteroscedasticity. Under this new approach the exact nature of the error variance is of no concern, and can remain unidentified. A major innovation of this work is the derivation of a scalar representation for the variance estimator which has considerable intuitive appeal since it uses consumer expenditure shares to weight the relative price movements used in the calculation of the inflation rate variances.

Suggested Citation

  • Paul Crompton, 2000. "Extending the stochastic approach to index numbers," Applied Economics Letters, Taylor & Francis Journals, vol. 7(6), pages 367-371.
  • Handle: RePEc:taf:apeclt:v:7:y:2000:i:6:p:367-371
    DOI: 10.1080/135048500351294
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    References listed on IDEAS

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    1. Selvanathan, E A, 1989. "A Note on the Stochastic Approach to Index Numbers," Journal of Business & Economic Statistics, American Statistical Association, vol. 7(4), pages 471-474, October.
    2. 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.
    3. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    4. Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119.
    5. C. Crompton, 1996. "A Reconsideration of the New Stochastic Approach to Index Numbers," Economics Discussion / Working Papers 96-24, The University of Western Australia, Department of Economics.
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    Cited by:

    1. Sebastian Weinand, 2022. "Measuring spatial price differentials at the basic heading level: a comparison of stochastic index number methods," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 106(1), pages 117-143, March.
    2. Eliyathamby A. Selvanathan & Saroja Selvanathan, 2006. "Measurement of Inflation: An Alternative Approach," Journal of Applied Economics, Taylor & Francis Journals, vol. 9(2), pages 403-418, November.
    3. von Auer, Ludwig & Weinand, Sebastian, 2022. "A nonlinear generalization of the country-product-dummy method," Discussion Papers 45/2022, Deutsche Bundesbank.
    4. 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.
    5. Adam Gorajek, 2018. "Econometric Perspectives on Economic Measurement," RBA Research Discussion Papers rdp2018-08, Reserve Bank of Australia.
    6. David E. A. Giles, 2004. "Calculating a Standard Error for the Gini Coefficient: Some Further Results," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 66(3), pages 425-433, July.
    7. Zahid, Asghar & Frahat, Tahira, 2010. "Measuring inflation through stochastic approach to index numbers," MPRA Paper 21513, University Library of Munich, Germany.
    8. Weinand, Sebastian, 2020. "Measuring spatial price differentials: A comparison of stochastic index number methods," Discussion Papers 12/2020, Deutsche Bundesbank.
    9. Kenneth W. Clements & H. Y. Izan & Yihui Lan, 2009. "A Stochastic Measure of International Competitiveness," International Review of Finance, International Review of Finance Ltd., vol. 9(1‐2), pages 51-81, March.
    10. E. A. Selvanathan, 2003. "Extending the stochastic approach to index numbers: a comment on Crompton," Applied Economics Letters, Taylor & Francis Journals, vol. 10(4), pages 213-215.
    11. Iqbal, Javed & Hanif, Muhammad Nadim, 2010. "Measuring Standard Error of Inflation in Pakistan: A Stochastic Approach," MPRA Paper 35422, University Library of Munich, Germany.

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