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List of price index formulas

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Title: List of price index formulas  
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Subject: Consumer price index, Törnqvist index
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List of price index formulas

A number of different formulas, more than hundred, have been proposed as means of calculating price indexes. While price index formulas all use price and possibly quantity data, they aggregate these in different ways. A price index aggregates various combinations of base period prices (p_0), later period prices (p_t), base period quantities (q_0), and later period quantities (q_t). Price index numbers are usually defined either in terms of (actual or hypothetical) expenditures (expenditure = price * quantity) or as different weighted averages of price relatives (p_t/p_0). These tell the relative change of the price in question. Two of the most commonly used price index formulas were defined by German economists and statisticians Étienne Laspeyres and Hermann Paasche, both around 1875 when investigating price changes in Germany.


P_L = \frac{\sum (p_{t}\cdot q_{0})}{\sum (p_{0}\cdot q_{0})}.

This compares the price of the old basket of goods q_0 for the old and new prices.


P_P = \frac{\sum (p_{n}\cdot q_{n})}{\sum (p_{0}\cdot q_{n})}.

This compares the price of the new basket of goods q_n for the old and new prices.

Unweighted indexes

Unweighted price indexes or elementary price indexes only compare prices between two periods. They do not make any use of quantities or expenditure weights. These indexes are called "elementary" because they are often used at the lower levels of aggregation for more comprehensive price indexes.[1] At these lower levels, weights are not necessary since only one type of good is being aggregated.


Developed in 1764 by Carli, an Italian economist, this formula is the arithmetic average of the price relative between a period t and a base period 0.

P_C = \frac {1}{n}\cdot\sum\left(\frac {p_{t}}{p_0}\right)

On 17th August 2012 the BBC Radio 4 programme "More or Less" noted that the Carli index, used in part in the British Retail Price Index measure, has a built-in bias towards recording inflation even when, over successive periods there is no increase in prices overall.


In 1738 French economist Dutot proposed using an index calculated by dividing the average price in period t by the average price in period 0.

P_D = \frac {\frac{1}{n}\cdot\sum (p_{t})}{\frac{1}{n}\cdot\sum (p_{0})}

= \frac {\sum (p_{t})}{\sum (p_{0})}


In 1863, English economist Jevons proposed taking the geometric average of the price relative of period t and base period 0.[2] When used as an elementary aggregate, the Jevons index is considered a constant elasticity of substitution index since it allows for product substitution between time periods.[3]

P_J = \prod\left(\frac{p_{t}}{p_{0}}\right)^{1/n}

This is the same outdated and flawed formula that was used for the old Financial Times stock market index (the predecessor of the FTSE 100 Index). In particular, if the price of any of the constituents were to fall to zero, the whole index would fall to zero. Also, as the index is unweighted, there is no automatic check to attempt to ensure that the selected constituents fairly represent the range of actual expenditure on various goods and services.

Harmonic mean of price relatives

The harmonic average counterpart to the Carli index.[4] The index was proposed by Jevons in 1865 and by Coggeshall in 1887.[5]

P_{HR} = \frac {1}{\frac{1}{n}\cdot\sum\left(\frac {p_0}{p_t}\right)}

Carruthers, Sellwood, Ward, Dalén index

Is the geometric mean of the Carli and the harmonic price indexes.[6] In 1922 Fisher wrote that this and the Jevons were the two best unweighted indexes based on Fisher's test approach to index number theory.[7]

P_{CSWD} = \sqrt {P_C \cdot P_{HR}}

Ratio of harmonic means

The ratio of harmonic means or "Harmonic means" price index is the harmonic average counterpart to the Dutot index.[4]

P_{RH} = \frac {\sum\left(\frac {n}{p_0}\right)}{\sum\left(\frac {n}{p_t}\right)}

Precision Formulas


The Marshall-Edgeworth index, credited to Marshall (1887) and Edgeworth(1925),[8] is a weighted relative of current period to base period sets of prices. This index uses the arithmetic average of the current and based period quantities for weighting. It is considered a pseudo-superlative formula and is symmetric.[9] The use of the Marshall-Edgeworth index can be problematic in cases such as a comparison of the price level of a large country to a small one. In such instances, the set of quantities of the large country will overwhelm those of the small one.[10]

P_{ME}=\frac{\sum [p_{c,t_n}\cdot \frac{1}{2}\cdot(q_{c,t_0}+q_{c,t_n})]}{\sum [p_{c,t_0}\cdot \frac{1}{2}\cdot(q_{c,t_0}+q_{c,t_n})]}=\frac{\sum [p_{c,t_n}\cdot (q_{c,t_0}+q_{c,t_n})]}{\sum [p_{c,t_0}\cdot (q_{c,t_0}+q_{c,t_n})]}

Superlative indices

Superlative indices treat prices and quantities equally across periods. They are symmetrical and provide close approximations of cost of living indices and other theoretical indices used to provide guidelines for constructing price indices. All superlative indices produce similar results and are generally the favored formulas for calculating price indices.[11] A superlative index is defined technically as "an index that is exact for a flexible functional form that can provide a second-order approximation to other twice-differentiable functions around the same point."[12]


P_F = \sqrt{P_P\cdot P_L}

This is also called Fisher's “ideal” price index.


Further information: Tornqvist index

The Törnqvist or Törnqvist-Theil index is the geometric average of the n price relatives of the current to base period prices (for n goods) weighted by the arithmetic average of the value shares for the two periods.[13][14]

P_t = \prod_{i=1}^{n}\left(\frac{p_{it}}{p_{i0}}\right)^{\frac{1}{2} \left[\frac{p_{i0}q_{i0}}{\sum_{i=1}^{m}\left(p_{i0}q_{i0}\right)}+ \frac{p_{it}q_{it}}{\sum_{i=1}^{m}\left(p_{it}q_{it}\right)}\right]}


The Walsh price index is the weighted sum of the current period prices divided by the weighted sum of the base period prices with the geometric average of both period quantities serving as the weighting mechanism:

P_W = \frac {\sum\left(p_{t} \cdot \sqrt{q_{0}\cdot q_{t}}\right)}{\sum\left(p_{0} \cdot \sqrt{q_{0}\cdot q_{t}}\right)}



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