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Least-Squares Index Numbers

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Abstract

A price index formula is derived from a least-squares principle. The approach is closely related to Theil’s construction of best linear index numbers. The restriction on a base period and a current period yields an explicit representation of the index number and does not require more data than Laspeyres’ index. This least-squares index number will be compared with Laspeyres’ index. The consideration of both indices could prevent from overestimating the accuracy of the Laspeyres index number and from jumping to irrelevant conclusions of price trends.

Zusammenfassung

Eine Preisindexformel wird unter Verwendung des Kleinst-Quadrate-Prinzips hergeleitet und dabei analog zur Theilschen Konstruktion des besten linearen Index vorgegangen. Im Gegensatz zu den symmetrischen besten linearen Indizes oder den besten linearen unverfälschten Indizes (Kloek/De Wit) stellt der explizit angegebene Kleinst-Quadrate-Index keine höheren Datenanforderungen als der Laspeyres-Index. Eine gleichzeitige Betrachtung beider Indizes könnte beispielsweise dazu dienen, die Nachkommastellen des Laspeyres-Index sowie die aus dem zeitlichen Indexverlauf herausinterpretierten Trendaussagen geeignet zu relativieren.

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© 1985 Springer-Verlag Berlin Heidelberg

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Bamberg, G., Spremann, K. (1985). Least-Squares Index Numbers. In: Schneeweiss, H., Strecker, H. (eds) Contributions to Econometrics and Statistics Today. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-70189-4_4

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  • DOI: https://doi.org/10.1007/978-3-642-70189-4_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-70191-7

  • Online ISBN: 978-3-642-70189-4

  • eBook Packages: Springer Book Archive

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