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Laspeyres and Paasche Index

Also known as: Laspeyres Index, Paasche Index, Base-Weighted Index, Current-Weighted Index

OriginatorÉtienne Laspeyres (1871); Hermann Paasche (1874)Year1871Sources2Related methods3

The Laspeyres and Paasche indices are the two foundational bilateral index numbers used to measure how a basket of prices (or quantities) changes between a base period and a current period. The Laspeyres index weights price changes by base-period quantities — it asks what the original basket costs now relative to then — while the Paasche index weights by current-period quantities, asking what the current basket costs now relative to then. They differ because consumers substitute away from goods whose relative prices rise, and this difference defines the well-known substitution bias: the Laspeyres index tends to overstate, and the Paasche index to understate, the true cost-of-living change, bracketing it between them.

Key highlights

  • Simple, transparent, and additive: both are easy to compute, explain, and decompose into contributions of individual goods.
  • The Laspeyres form needs only fixed base-period weights, so it can be published quickly by repricing a fixed basket — ideal for timely official statistics.
  • Together they bracket the true cost-of-living (or output) index, providing informative upper and lower bounds.
  • Their geometric mean yields the Fisher ideal index, which satisfies the time- and factor-reversal tests and is superlative.

Intuition

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How it works

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When to use it

Use Laspeyres and Paasche indices whenever you must summarize the change in a vector of prices or quantities between two periods into a single number — consumer and producer price indices, GDP deflators, real-output and productivity measures, and international comparisons all rest on these constructions. Choose a Laspeyres-type (base-weighted) index when only base-period weights are available and timeliness matters, accepting its upward substitution bias; choose Paasche when current-period weights are at hand. When both periods' price and quantity data exist and accuracy is the priority, prefer a superlative index — Fisher (their geometric mean) or Törnqvist — which lies between them and approximates the true cost-of-living or output index. The choice also depends on whether the index will be chained period-to-period, on the frequency of basket updates, and on whether additive consistency with national accounts is required.

Strengths & limitations

Strengths
  • Simple, transparent, and additive: both are easy to compute, explain, and decompose into contributions of individual goods.
  • The Laspeyres form needs only fixed base-period weights, so it can be published quickly by repricing a fixed basket — ideal for timely official statistics.
  • Together they bracket the true cost-of-living (or output) index, providing informative upper and lower bounds.
  • Their geometric mean yields the Fisher ideal index, which satisfies the time- and factor-reversal tests and is superlative.
Limitations
  • Each suffers substitution bias: Laspeyres overstates and Paasche understates the true cost-of-living change, with the bias growing as relative prices shift.
  • Neither satisfies the time-reversal or factor-reversal tests, so chaining and price-quantity decompositions can be inconsistent.
  • Paasche requires current-period quantity data, which are often delayed, limiting its use for timely publication.
  • Both are pure bilateral comparisons and do not handle new goods, quality change, or outlet substitution, which are major real-world sources of bias.

Common pitfalls

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Applications

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Frequently asked

Why do the Laspeyres and Paasche indices differ, and which is 'right'?

They differ because they use different basket weights: Laspeyres holds base-period quantities fixed, Paasche holds current-period quantities fixed, and consumers substitute between the two periods toward goods that became relatively cheaper. Neither is exactly right — for a cost-of-living comparison the true index lies between them, with Laspeyres biased upward and Paasche downward. When you have both periods' data, a superlative index such as Fisher (their geometric mean) or Törnqvist is preferred because it sits between them and approximates the true index closely.

What is substitution bias and how big is it?

Substitution bias is the error a fixed-weight index makes by ignoring that consumers shift away from goods whose relative prices rise. A Laspeyres index, freezing the old basket, therefore overstates the cost of maintaining welfare; a Paasche index understates it. The size depends on how much relative prices move and how readily consumers substitute; for consumer price indices the upper-level substitution bias is typically estimated at a few tenths of a percentage point per year, enough to matter cumulatively for indexed pensions, taxes, and contracts, which is why statistical agencies adopt chained or superlative indices to reduce it.

Why is the Fisher index called 'ideal' and 'superlative'?

Fisher called the geometric mean of the Laspeyres and Paasche indices 'ideal' because, of all the formulas he examined axiomatically, it best satisfied his battery of tests — notably time reversal (reversing the periods inverts the index) and factor reversal (price and quantity indices multiply to the value ratio) — which Laspeyres and Paasche each fail. It is 'superlative' in Diewert's later economic sense: it is exact for a flexible (second-order) aggregator function, so it approximates the true cost-of-living or output index to second order regardless of the underlying preferences or technology, justifying its use when both periods' data are available.

Sources

  1. 1.
    Diewert, W. E. (1976). Exact and superlative index numbers. Journal of Econometrics, 4(2), 115–145.
  2. 2.
    Fisher, I. (1922). The Making of Index Numbers. Houghton Mifflin.
    ISBN 9780678006597

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ScholarGate. (2026, June 22). Laspeyres and Paasche Index. ScholarGate. https://scholargate.app/economics/laspeyres-paasche-index