Let:
n = number of items in the market basket
j = index of an item
t = index of the later of two periods (the earlier being period
0)
= quantity of item j purchased
in period 0.
= quantity of item j purchased
in period t.
= price of item j in period 0.
= price of item j in period t.
=
= expenditure upon item j
in period 0.
=
= expenditure
upon item j in period t.
=
= cost of period 0 market basket
at period 0 prices.
=
= cost of
period 0 market basket at period t prices.
=
= cost of period t market
basket at period t prices.
=
= cost of period t market
basket at period 0 prices.
=
= share of total expenditure in
period 0 spent upon item j.
=
= share of total expenditure in period t spent upon item
j.
Then:
Laspeyres =
Geometric Mean =
Tornqvist =
Paasche =
Fisher =
These forms are taken or adapted from those used by the Bureau of Labor Statistics.[1] They depart a little from the forms youll find in economics texts, partly because the BLS must work with data that are available (expenditure shares rather than actual quantities of items), and partly because, in practice, the CPI is built up in stages. The first stage calculates indexes for samples of "elementary items", and the later stages combine these into an overall index. In the second step, first-stage indexes are substituted for the price ratios shown above. Thats a needless complexity for the current discussion, so we show the formulas with price ratios.
In an economics text, the formulas generally look something like this:
Laspeyres =
=
=
.
Paasche =
=
=
.
These are mathematically equivalent to the BLS forms, but shed somewhat more light upon the economic meaning.
Imagine a time traveler planning a business trip to the future, from period 0 to period t. When asking for a travel advance, the savvy time traveler will multiply the cost of a period 0 market basket[2] by the Laspeyres index (communicated by a colleague from the future); the traveler can then buy at least that basket in period t, and may be able to improve upon it with substitutions.
A time traveler in the opposite direction, from period t to period 0, will make similar use of the Paasche index. Hopefully, he or she will notice that the index is upside down for this purpose, and divide rather than multiply the cost of a period t basket by it, in order to come up with an advance that will buy at least that good a basket in period 0.
With the Laspeyres index in form
and Paasche in form
, it is easy to
work out the revealing inequalities expounded by Thomas Carroll[3]:
If Laspeyres If Paasche If Laspeyres If Paasche Putting all the foregoing observations together: Laspeyres and Paasche both Laspeyres and Paasche both Laspeyres Paasche [Back to Example 3, if you digressed from there to review these inequalities.] |
The Boskin Commission, whose report brought all this stuff before the public, argues that the Laspeyres index exaggerates inflation essentially because the time traveller of our earlier discussion could make out like bandits if given a travel advance based on the Laspeyres index. (No, the Boskin Commission did not express itself in this frivolous manner. Thats my persona. But the charge is the same.)
Their preference is to use the Geometric Mean index when calculating price indexes for the elementary items sampled by the CPI. At this level, many of the items are close substitutes for each other (a fact which favors the use of the Geometric Mean). Then, when combining the groups into an overall index, what theyd really like to see would be the Tornqvist index, which uses weights averaged over the two periods.
The BLS, whose job it is to round up the data and make the calculations, has other preoccupations. It doesnt quarrel with the theoretical apparatus of the Boskin Commission, but has to reconcile it with data availability, sampling procedures, and publication deadlines. In particular, any index which requires weights from the end period would come out later than is desirable. Data collection takes time. Moreover, its costly, and in all of the above indexes except Laspeyres and the (base-weighted) Geometric Mean, preparation must await the data on the later periods expenditure shares. Moreover, these must be compiled for each successive period in which an index is prepared.
The Boskin Commission worked closely with the BLS, and was not unaware of its practical concerns. Because of the unavoidable lag in collecting data for a Tornqvist index, they recommended a "trailing Tornqvist index", which would average the weights of the last two or three past years. They remained unhappy, though, with existing budgetrary constraints. They would like to see weights revised every year (currently its every ten years), and urge that a revised CPI be published every year, "with a lag of a year or two", based on the new weights. In fact, they would like to see historical records revised continually, as new data become available.
Like every other government study that ever was or ever will be, this one recommended that the government should fund a permanent body to carry on its good work "at the request of", but not part of, the BLS. The BLS would have quite enough new employment, keeping up with the additional data collection and massaging. (The commission, to be fair, did pin some of its hopes upon input from scanners at the nations checkout counters.)
As for the BLS, it is cautiously experimenting with the base-weighted Geometric Mean index and with experimental indexes which single out the purchasing behavior of particular groups such as seniors and the poor. Its budget is nowhere near that which would enthuse the Boskin Commission.
Now please return to the main thread of my discussion, which largely confirms the Boskin Commissions preferences concerning the Laspeyres, Geometric Mean, and Tornqvist indexes, but turns up some entertaining quirks.
Depending how you got here: