Measuring Inflation and Growth Using Spanning Trees

Robert Hill ()

International Economic Review, 2001, vol. 42, issue 1, 167-85

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.

Date: 2001
References: Add references at CitEc
Citations: View citations in EconPapers (19)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ier:iecrev:v:42:y:2001:i:1:p:167-85

Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=0020-6598

Access Statistics for this article

International Economic Review is currently edited by Harold L. Cole

More articles in International Economic Review from Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association 160 McNeil Building, 3718 Locust Walk, Philadelphia, PA 19104-6297. Contact information at EDIRC.
Bibliographic data for series maintained by Wiley-Blackwell Digital Licensing () and ().