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Multilateral index approaches in the presence of product-specific price trends and data gaps

Author

Listed:
  • Ludwig von Auer
  • Sebastian Weinand

Abstract

The prices of some products respond more strongly to changes in the general price level than others. This study explains why such product-specific price level elasticities lead to biased time-product-dummy (TPD) estimates of price levels. Other popular multilateral index approaches such as the Gini-Éltető-Köves-Szulc (GEKS) and Geary-Khamis (GK) methods also fail to address this source of bias in inflation measurement. Therefore, this paper introduces the NLTPD regression – a nonlinear generalization of the TPD regression. By estimating product-specific price-level elasticities, the NLTPD regression effectively addresses this source of bias. A simulation study and an application to real-world scanner data compare the performance of the four multilateral index approaches. Except for the rather theoretical case of complete data, the NLTPD regression outperforms the other three approaches.

Suggested Citation

  • Ludwig von Auer & Sebastian Weinand, 2026. "Multilateral index approaches in the presence of product-specific price trends and data gaps," Research Papers in Economics 2026-08, University of Trier, Department of Economics.
  • Handle: RePEc:trr:wpaper:202608
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    JEL classification:

    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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