Business Mathematics and Statistics · Ch 9 — Applied Statistics (Time Series, Index Numbers, Statistical Quality Control)
Meaning and Uses of Index Numbers
Meaning and Uses of Index Numbers
An index number is a statistical measure that expresses the average relative change in a variable (or a group of related variables, like the prices of a basket of goods) between one period — the base period — and another — the current period. The base period is always given the value , and every other period's index is read as a percentage relative to that base.
For a single commodity, this is simply a price relative:
where is the base-year price and is the current-year price. An index number generalises this idea to a whole basket of commodities at once — for example, a Wholesale Price Index or Consumer Price Index combines the price movements of dozens of items into a single representative figure.
Uses of index numbers in business and government:
- Measuring the general price level and, from it, the rate of inflation or deflation in the economy.
- Adjusting wages, pensions and contracts ('dearness allowance') so that real purchasing power keeps pace with rising prices.
- Deflating other economic series — converting a value figure (like national income at current prices) into a real figure at constant prices, by dividing through by a suitable price index.
- Guiding business and government policy — a rising index of industrial production signals expansion; a rising price index signals the need for anti-inflationary measures.
- Forecasting — index numbers, plotted over time, are themselves a time series and can be studied for trend exactly as in the previous sections of this chapter. …
A statistical measure expressing the average percentage change in the price, quantity, or value of a single item or a group of items between a base perio …
The reference year against which changes in later years are measured; by convention its index value is a …
The ratio of the current-year price of a commodity to its base-year price, expressed as a percentage: $(p …