1. INDEX NUMBERS

2. DEFINITIONS
Index Numbers are a specialized type of averages M. Blair
Index Numbers are devices for measuring differences in the magnitude of a group of related values.
- Croxten and Cowden
An index number is a statistical measure designed to show changes in a variable or group of related variables with respect to time, geographical location or other characteristics Spigel

3. CHARACTERISTICS Index numbers are specialized averages.
Index numbers measure the change in the level of a phenomenon.
Index numbers measure the effect of changes over a period of time.

4. USES HELPFUL IN PREDICTIONS HELPFUL IN COMPARISONS USEFUL IN BUSINESS
Index numbers give the knowledge as to what changes have occurred in the past.
HELPFUL IN PREDICTIONS
By Index numbers relative changes occurring in the variables are determined, which simplifies the comparison of Data.
HELPFUL IN COMPARISONS
Index numbers measures the changes taking place in the Business World and are useful in making a comparative study of the changes.
USEFUL IN BUSINESS

5. PROBLEMS RELATED TO INDEX NUMBER
Choice of the base period.
Choice of an average.
Purpose of index numbers.
Selection of commodities.
Data collection.

6. METHODS OF CONSTRUCTING INDEX NUMBERS
Un-weighted
Simple
Aggregative
Simple Average of Price Relatives
Weighted
Weighted Average of Price Relatives

7. SIMPLE AGGREGATIVE METHOD
In this method, sum of current year’s prices is divided by sum of base year’s prices and the quotient is multiplied by 100. Its formula is:
Where,
P01= Index number of the current year.
= Total of the current year’s price of all commodities.
= Total of the base year’s price of all commodities.

8. EXAMPLE: From the data given below construct the index number for the year 2008 on the base year 2007 in Rajasthan state.
COMMODITIES
UNITS
PRICE (Rs)
2007
2008
Sugar
Quintal
2200
3200
Milk 18 20
Oil
Litre 68 71
Wheat
900
1000
Clothing
Meter 50 60

9. Solution: 2008 Sugar Quintal 2200 3200 Milk 18 20 Oil Litre 68 71
COMMODITIES
UNITS
PRICE (Rs)
2007
2008
Sugar
Quintal
2200
3200
Milk 18 20
Oil
Litre 68 71
Wheat
900
1000
Clothing
Meter 50 60
Index Number for 2008:
It means the prize in were 34.45% higher than the previous year.

10. SIMPLE AVERAGE OF RELATIVES METHOD
In it, initially the price relatives of all the commodities are found out. To calculate price relatives, price of current year (p1) is divided by price of base year (p0) and then, the quotient is multiplied with When ARITHMETIC MEAN is used: 2. When GEOMETRIC MEAN is used:
Where N is Numbers Of items.

11. SIMPLE AVERAGE OF RELATIVES METHOD
3. When MEDIAN is used:

12. EXAMPLE:
From the data given below construct the index number for the year 2008 taking 2007 as base year by using arithmetic mean.
Commodities
Price (2007)
Price (2008) P 6 10 Q 2 R 4 S 12 T 8

13. SOLUTION: Index number using arithmetic mean Commodities Price (2007)
Price Relative P 6 10
166.7 Q 12 2
16.67 R 4
150.0 S
120.0 T 8 =

14. WEIGHTED INDEX NUMBERS
When index numbers is constructed taking into consideration the importance of different commodities, then they are called weighted index numbers.
There are two methods of contructing weighted index numbers.
Weighted Aggregative Index Numbers.
Weighted Average of Price
Relative Methods.

15. WEIGHTED AGGREGATIVE METHOD
In it, commodities are assigned weights on the basis of the quantities purchased. Different statisticians have used different methods of assigning weights, which are as follows:
Laspeyre’s method.
Paasche’s method.
Fisher’s ideal method.
Dorbish and Bowley method.
Marshall-Edgeworth’s method.
Kelly’s method.

16. Laspeyre’s Method: Paasche’s Method:
This method was devised by Laspeyre’s in In this method the weights are determined by quantities in the base.
Paasche’s Method:
This method was devised by a German statistician Paasche in The weights of current year are used as base year in constructing the Paasche’s Index number.

17. Dorbish & Bowleys Method:
This method is a combination of Laspeyre’s and Paasche’s methods. If we find out the arithmetic average of Laspeyre’s and Paasche’s index we get the index suggested by Dorbish & Bowley.
Fisher’s Ideal Method:
Fisher’s ideal index number is the geometric mean of the Laspeyre’s and Paasche’s index numbers.

18. Marshall-Edgeworth Method:
In this index the numerator consists of an aggregate of the current years price multiplied by the weights of both the base year as well as the current year.
Kelly’s Method:
Kelly thinks that a ratio of aggregates with selected weights (not necessarily of base year or current year) gives the base index number.
Where q refers to the quantities of the year which is selected as the base. It may be any year, either base year or current year.

19. EXAMPLE
Given below are the price quantity data,with price quoted in Rs. per kg and production in qtls. Find: (1) Laspeyre’s Index (2) Paasche’s Index (3)Fisher Ideal Index.
2002
2007
ITEMS
PRICE
PRODUCTION
BEEF 15
500 20
600
MUTTON 18
590 23
640
CHICKEN 22
450 24

20. Solution
ITEMS
PRICE
PRODUCTION
BEEF 15
500 20
600
10000
7500
12000
9000
MUTTON 18
590 23
640
13570
10620
14720
11520
CHICKEN 22
450 24
10800
9900
11000
TOTAL
34370
28020
38720
31520

21. Solution 1.Laspeyre’s index: 2. Paasche’s Index:
3. Fisher Ideal Index:

22. WEIGHTED AVERAGE OF PRICE RELATIVE
In weighted Average of Price relative, the price relatives for the current year are calculated on the basis of the base year price. These price relatives are multiplied by the respective weight of items. These products are added up and divided by the sum of weights.
Weighted arithmetic mean of price relative is given by:
Where:
P=Price relative
V=Value weights =

23. QUANTITY INDEX NUMBERS
Quantity index numbers are designed to measure the change in physical quantity of goods over a given period. These index numbers represents increase or decrease in physical quantities of goods produce or sold. The method of construction of quantity index is same as that of price index. (1) Simple quantity index numbers (a) Simple Aggregative Method:

24. (b) Simple Average of Relative Method: (i) Using A.M. (ii) Using G.M.

25. (2) Weighted quantity index numbers I
(2) Weighted quantity index numbers I. Weighted Aggregate Method (a) Laspeyre’s quantity index no.: (b) Paasche’s quantity index no.:

26. (c) Fisher’s quantity index numbers: (d) Bowley’s quantity index: (e) Marshall’s quantity index:

27. II. Weighted Average of Relative Method:
Where,
and

28. VALUE INDEX NUMBERS
Value is the product of price and quantity. A simple ratio is equal to the value of the current year divided by the value of base year. If the ratio is multiplied by 100 we get the value index number.

29. TESTS OF ADEQUACY OF INDEX NUMBER FORMULAE
Various formulae can be used for the construction of index numbers but it is necessary to select an appropriate/suitable formula out of them. Prof. Fisher has given the following tests to select an appropriate formula:
TIME REVERSAL TEST (TRT)
FACTOR REVERSAL TEST (FRT)

30. TIME REVERSAL TEST (TRT)
According to this test, if considering any year as a base year, some other year’s price index is computed and for another price index, time subscripts are reversed, then the both price indicies must be reciprocal to each other.
TRT is satisfied when:
Where, P01 is price index for the year 1 with 0 as base and P10 is the price index for the year 0 with 1 as base.

31. FACTOR REVERSAL TEST (FRT)
Time reversal test permits interchange of price and quantities without giving inconsistent results, i.e. the two results multiplied together should give the true value ratio:
FRT is satisfied when:
Price Index x Quantity Index = Value Index OR