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Measuring Inflation and Growth Using Spanning Trees

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  • Hill, Robert J

Abstract

It is shown how most methods of measuring inflation and growth have an underlying spanning tree. The spanning tree whose resulting inflation (growth) estimates are least sensitive to the choice of index number formula can be computed using Kruskal's minimum spanning tree algorithm. Applying this algorithm to American, British, and Australian data sets, chaining is shown to be the best possible way of linking annual data. For quarterly data, the optimal method of linking depends on the amount of seasonality in the data.

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Bibliographic Info

Article provided by Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association in its journal International Economic Review.

Volume (Year): 42 (2001)
Issue (Month): 1 (February)
Pages: 167-85

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Handle: RePEc:ier:iecrev:v:42:y:2001:i:1:p:167-85

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Cited by:
  1. Diewert, Erwin, 2008. "New Methodology for Linking the Regions," Economics working papers, Vancouver School of Economics erwin_diewert-2008-9, Vancouver School of Economics, revised 09 Sep 2008.
  2. Barnett, William A. & Erwin Diewert, W. & Zellner, Arnold, 2011. "Introduction to measurement with theory," Journal of Econometrics, Elsevier, Elsevier, vol. 161(1), pages 1-5, March.
  3. Isela Téllez-León. & Francisco Venegas-Martínez. & Abigail Rodríguez-Nava., 2011. "Inflation Volatility and Growth in a Stochastic Small Open Economy: A Mixed Jump-Diffusion Approach," Economía: teoría y práctica, Economía: teoría y práctica, vol. 35(2), pages 131-156, Julio-Dic.
  4. Cheong, Siew Ann & Fornia, Robert Paulo & Lee, Gladys Hui Ting & Kok, Jun Liang & Yim, Woei Shyr & Xu, Danny Yuan & Zhang, Yiting, 2011. "The Japanese economy in crises: A time series segmentation study," Economics Discussion Papers 2011-24, Kiel Institute for the World Economy.
  5. Diewert, Erwin, 2007. "Index Numbers," Economics working papers, Vancouver School of Economics diewert-07-01-03-08-17-23, Vancouver School of Economics, revised 31 Jan 2007.
  6. Ehemann, Christian, 2007. "Evaluating and adjusting for chain drift in national economic accounts," Journal of Economics and Business, Elsevier, Elsevier, vol. 59(3), pages 256-273.
  7. Cheong, Siew Ann & Fornia, Robert Paulo & Lee, Gladys Hui Ting & Kok, Jun Liang & Yim, Woei Shyr & Xu, Danny Yuan & Zhang, Yiting, 2012. "The Japanese economy in crises: A time series segmentation study," Economics - The Open-Access, Open-Assessment E-Journal, Kiel Institute for the World Economy, vol. 6(5), pages 1-81.

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