Index numbers: meaning, uses, types and steps in construction
Business Statistics · Unit V · Topic 13 of 15 · 5 min read
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1. Meaning and definitions
An index number is a statistical device that measures the relative change in a variable or group of related variables over time, place or other characteristic. It is expressed as a percentage of a base, the base being 100.
- Croxton and Cowden: “Index numbers are devices for measuring differences in the magnitude of a group of related variables.”
- Spiegel: “An index number is a statistical measure designed to show changes in a variable or a group of related variables with respect to time, geographic location or other characteristics.”
Features: expressed in percentages (base = 100, but the % sign is dropped); a measure of relative change, so items in different units (rice per kg, cloth per metre) can be combined; a special kind of average; measures changes that cannot be observed directly (the “general price level” or “cost of living”).
2. Uses (importance)
- Economic barometers: they measure the pulse of the economy — price levels, industrial production, share prices.
- Measure the purchasing power of money and convert nominal values into real values (deflating): real wage = money wage ÷ CPI × 100.
- Wage and dearness-allowance fixation: consumer price indices are used to adjust wages, pensions and allowances.
- Policy-making: government and the central bank watch price indices to decide fiscal and monetary measures; the RBI’s inflation target under the RBI Act, 1934 is set in terms of consumer price inflation.
- Business decisions: forecasting demand, fixing prices, studying trends.
- Comparison of places and periods (cost of living in two cities).
- Indexation in law and contracts: escalation clauses in long contracts, and the cost inflation index for capital gains under income-tax law.
3. Kinds
- Price index: changes in prices (wholesale price index, consumer price index).
- Quantity index: changes in physical volume (index of industrial production, agricultural production).
- Value index: changes in total value, Σp1q1 / Σp0q0 × 100 (sales, exports).
- Special-purpose indices: cost of living, share price (Sensex, Nifty).
By method: unweighted (simple) — simple aggregative and simple average of price relatives; weighted — weighted aggregative (Laspeyres, Paasche, Fisher and others) and weighted average of relatives (family budget method). By base: fixed base and chain base (each year on the previous year).
4. Steps in construction (January 2026 essay)
- Define the purpose. A cost-of-living index for factory workers needs different items, prices and weights from a wholesale index.
- Select the base period. It should be a normal year, free from war, famine, boom or depression, and not too distant. The chain base is an alternative.
- Select the commodities. Representative items, of standard quality, in reasonable number, consumed by the group concerned.
- Collect prices. From representative markets and sources, retail or wholesale as the purpose requires, at regular intervals.
- Choose the average. Arithmetic mean is common; the geometric mean is theoretically better (it satisfies the time reversal test for relatives).
- Assign weights. Items differ in importance (rice matters more than salt); weights may be quantities or expenditure shares.
- Select the formula. Laspeyres, Paasche or Fisher according to data and purpose; Fisher is the “ideal”.
5. Simple (unweighted) methods: worked
Using the January 2026 prices (base and current) for A, B, C, D: p0 = 12, 4, 9, 12; p1 = 20, 4, 12, 24.
Simple aggregative: P01 = Σp1 / Σp0 × 100 = 60/37 × 100 = 162.16.
Simple average of price relatives: P01 = Σ(p1/p0 × 100) / n.
| Item | p0 | p1 | Relative p1/p0 × 100 |
|---|---|---|---|
| A | 12 | 20 | 166.67 |
| B | 4 | 4 | 100.00 |
| C | 9 | 12 | 133.33 |
| D | 12 | 24 | 200.00 |
| Total | 37 | 60 | 600.00 |
P01 = 600 / 4 = 150.00.
The two results differ because the simple aggregative is dominated by high-priced items and by the units in which prices are quoted. Neither allows for the importance of the items; that is why weighted indices (next note) are preferred.
6. Problems and limitations
- They are only approximate indicators of change; errors creep in at every step.
- Choice of items, base year, weights and formula is subjective, and different choices give different answers.
- Changes in quality, tastes and new products are hard to reflect; a fixed basket becomes dated.
- An index made for one purpose cannot be used for another (a wholesale index does not measure the cost of living of students).
- International and inter-regional comparisons are unreliable because consumption patterns differ.
- They can be manipulated by a convenient base year.
Tests of adequacy (Irving Fisher): unit test (the index must not depend on the units of price); time reversal test; factor reversal test; circular test. The TRT and FRT are worked in the next note.
How this is examined
“Define index number; explain the different steps involved in the construction of index number” (January 2026); “What is index number? Explain the uses” (June 2025); “Explain the importance and limitations” (January 2025); “What is index number? Explain the advantages” (August 2024, six marks); “Explain the types of index number” (January 2025, six marks).
Now try the real questions: Business Statistics past question papers.