price index

price index
an index of the changes in the prices of goods and services, based on the prices of the same goods and services at a period arbitrarily selected as a base, usually expressed as 100.

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Measure of change in a set of prices, consisting of a series of numbers arranged so that a comparison of the values for any two periods or places will show the change in prices between periods or the difference in prices between places.

Price indexes were first developed to measure changes in the cost of living in order to determine the wage increases necessary to maintain a constant standard of living. There are two basic types. Laspeyres-type indexes define a market basket of goods in a base period, then use the prices for those goods to examine change over space and time. In its simplest form, this is simply the ratio of what those goods cost today to what they cost in the base period. The two most familiar indexes of this type are the consumer price index (CPI) and the producer price index (PPI). The CPI measures changes in retail prices in such component parts as food, clothing, and shelter. The PPI (formerly called the wholesale price index) measures changes in the prices charged by manufacturers and wholesalers. Paasche-type indexes define a market basket of goods in the current period, then use the prices of those goods from past periods. The most familiar index of this type is the GDP deflator, used in the U.S. in the national income accounting to differentiate amounts in constant dollars from those in current dollars.

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      measure of relative price changes, consisting of a series of numbers arranged so that a comparison between the values for any two periods or places will show the average change in prices between periods or the average difference in prices between places. Price indexes were first developed to measure changes in the cost of living in order to determine the wage increases necessary to maintain a constant standard of living. They continue to be used extensively to estimate changes in prices over time and are also used to measure differences in costs among different areas or countries. See also consumer price index; wholesale price index.

      The central problem of price-data collection is to gather a sample of prices representative of the various price quotations for each of the commodities under study. Sampling is almost always necessary. The larger and the more complex the universe of prices to be covered by the index, the more complex the sampling pattern will have to be. An index of prices paid by consumers in a large and geographically varied country, for example, ideally should be based on a sample representative of price changes in different cities and localities, in different types of outlets (supermarkets, department stores, neighbourhood shops, etc.), and for different commodities. The number of prices chosen to represent each type of city (or metropolitan area), type of outlet, and category of commodity would ideally be proportionate to its relative importance in the expenditures of the nation. Most price indexes are based on some approximation to such a sampling design.

      Once the commodity sample has been chosen, the collection of prices must be planned so that differences between the prices of any two dates will reflect changes in price and price alone. Ideally one would collect the prices of exactly the same items at each date. To this end, commodity prices are sometimes collected in accordance with detailed specifications such as “wheat, no. 2 red winter, bulk, carlots, f.o.b. Chicago, spot market price, average of high and low, per bushel.” If all commodities were as standardized as wheat, the making of price indexes would be much simpler than it is. In fact, except for a limited range of goods consisting mainly of primary products, it is very difficult to describe a product completely enough so that different pricing agents can go into stores and price an identical item on the basis of description alone. In view of this difficulty, price-collection agencies sometimes rely upon each respondent, usually a business firm, to report prices in successive periods for the same variant of a product (say, men's shoes); the variant chosen by each respondent may be different, but valid data will be obtained as long as each provides prices for the same variant he originally chose. Because a product may vary in quality from one observation to another, even though it retains the same general specification, the usual procedure is to avoid the computation of average observed prices for each commodity for each date. Instead, each price received from each source is converted to a percentage of the corresponding price reported for the previous period from the same source. These percentages are called “price relatives.”

      The next step is to combine the price relatives in such a way that the movement of the whole group of prices from one period to another is accurately described. Usually, one begins by averaging the price relatives for the same specification (e.g., men's high work shoes, elk upper, Goodyear welt, size range 6 to 11) from different reporters. Sometimes separate averages for each commodity are calculated for each city, and the city averages are combined.

      A more difficult problem arises in combining the price relatives for different commodities. They must be given different weights, of course, because not all the commodities for which the prices or price relatives have been obtained are of equal importance. The price of wheat, for example, should be given more weight in an index of wholesale prices than the price of pepper. The difficulty is that the relative importance of commodities changes over time. Some commodities even drop out of use, while new ones appear, and often an item changes so much in composition and design that it is doubtful whether it can properly be considered the same commodity. Under these conditions, the pattern of weights selected can be accurate in only one of the periods for which the index numbers have been calculated. The greater the lapse of time between that period and other periods in the index, the less meaningful the price comparisons become. Price indexes thus can give relatively accurate measures of price change only for periods close together in time.

Adjusting for biases.
      Another problem of price index number construction that cannot be completely resolved is the problem of quality change. In a dynamic world, the qualities of goods are continually changing (permanent-press clothing, high-definition television, banded tires, self-cleaning ovens, and so forth) to such a degree that it is doubtful whether anyone living in an industrialized economy buys many products that are identical in physical and technical characteristics to those purchased by his grandfather. There is no fully satisfactory way to handle quality changes. One way would be to make price comparisons between two periods solely in terms of goods that are identical in both periods. If one systematically deletes goods that change in quality, the price index will tend to be biased upward if quality is improving on the average and downward if it is deteriorating on the average. A better approach is to attempt to measure the extent to which an observed change in the quoted price represents a change in quality. It is possible, for example, to obtain from manufacturers estimates of the increase or decrease in cost of production entailed in the main changes in automobiles from one model year to the next. The amount added or subtracted from the cost by the changes can then be regarded as a measure of the quality change; any change in the quoted price not accounted for in this way is taken as solely a change in price. The disadvantage of this method is that it cannot take account of improvements that are not associated with an increase in costs.

      Whether or not a failure to make sufficient allowance for improvements in the quality of goods causes most price indexes to be biased upward is a matter of dispute. An expert committee appointed to review the price statistics of the U.S. government (the Stigler Committee) declared in 1961 that most economists felt that there were systematic upward biases in the U.S. price indexes on this account. Because the U.S. indexes are usually thought to be relatively good, this view would seem to apply by extension to those of most other countries. The official position of the U.S. Bureau of Labor Statistics has been that errors owing to quality changes have probably tended to offset each other, at least in its index of consumer prices.

      Another possible source of error in price indexes is that they may be based on list prices rather than actual transactions prices. List prices probably are changed less frequently than the actual prices at which goods are sold; they may represent only an initial base of negotiation, a seller's asking price rather than an actual price. When prices are collected largely by mail, as is generally the case with indexes of wholesale prices, the respondents may give only their list prices, with the result that the indexes will show greater short-run stability than is warranted. One study has shown that actual prices paid by the purchasing departments of government agencies were lower and were characterized by more frequent and wider fluctuations than were the prices for the same products reported for the price index.

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Universalium. 2010.

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