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INDEX NUMBERS
INTRODUCTION
 An index number measures the relative
change in price, quantity, value, or some
other item of interest from one time period to
another.
 A simple index number measures the
relative change in one or more than one
variable.
WHAT IS AN INDEX NUMBER
.
• An index number measures
how much a variable changes
over time.
• We calculate the index number
by finding the ratio of the
current value to a base value.
DEFINITION
 “Index numbers are quantitative measures of
growth of prices, production, inventory and
other quantities of economic interest.”

-Ronold
CHARACTERISTICS OF INDEX NUMBERS
 Index numbers are specialized averages.
 Index numbers are expressed in percentages
 Index numbers measure the change in the level of
a phenomenon.
 Index numbers measure the effect of changes over
a period of time.
USES OF INDEX NUMBERS
o To framing suitable policies
o They reveal trends and tendencies.
o Index numbers help in measuring the purchasing
power of money.
PROBLEMS RELATED TO INDEX NUMBERS
 Choice of the base period.
 Choice of an average.
 Selection of formula
 Selection of commodities.
 Selection of data
CLASSIFICATION OF INDEX NUMBERS
Price Index
Quantity Index
Value Index
Composite Index
METHODS OF CONSTRUCTING INDEX
NUMBERS
Index
Numbers
Simple
Aggregative
Simple Average
of Price
Relative
Unweighted
Weighted
Weighted
Aggregated
Weighted
Average of
Price Relatives
SIMPLE AGGREGATIVE METHOD
It consists in expressing the aggregate price of all
commodities in the current year as a percentage of the
aggregate price in the base year.
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.
100
0
1
01 



p
p
P
1
p
0
p
EXAMPLE:-
FROM THE DATA GIVEN BELOW CONSTRUCT THE INDEX
NUMBER FOR THE YEAR 2007 ON THE BASE YEAR 2008
IN RAJASTHAN STATE.
COMMODITIES UNITS
PRICE (Rs)
2007
PRICE (Rs)
2008
Sugar Quintal 2200 3200
Milk Quintal 18 20
Oil Litre 68 71
Wheat Quintal 900 1000
Clothing Meter 50 60
SOLUTION:-
COMMODITIES UNITS
PRICE (Rs)
2007
P0
PRICE (Rs)
2008
P1
Sugar Quintal 2200 3200
Milk Quintal 18 20
Oil Litre 68 71
Wheat Quintal 900 1000
Clothing Meter 50 60
3236
0 
p 4351
1 
p
Index Number for 2008-
45
.
134
100
3236
4351
100
0
1
01 






p
p
P
It means the prize in 2008 were 34.45% higher than the previous year.
SIMPLE AVERAGE OF RELATIVES METHOD.
 The current year price is expressed as a price relative
of the base year price. These price relatives are then
averaged to get the index number. The average used
could be arithmetic mean, geometric mean or even
median.
N
p
p
P
 









100
0
1
01
Where N is Numbers Of items.
When geometric mean is used-
N
p
p
P
 









100
log
log 0
1
01
EXAMPLE-
From the data given below construct the index
number for the year 2008 taking 2007 as by using
arithmetic mean.
Commodities Price (2007) Price (2008)
P 6 10
Q 2 2
R 4 6
S 10 12
T 8 12
SOLUTION-
Index number using arithmetic mean-
Commodities Price (2007) Price (2008) Price Relative
P 6 10 166.7
Q 12 2 16.67
R 4 6 150.0
S 10 12 120.0
T 8 12 150.0
100
0
1

p
p
 







100
0
1
p
p
=603.37
63
.
120
5
37
.
603
100
0
1
01 












N
p
p
P
1
p
0
p
SIMPLE AVERAGE OF PRICE RELATIVES INDEX
NUMBER USING GEOMETRIC MEAN
Commoditi
es
Price
(2007)
Price (2008) Price
Relative
Log p
P 6 10 166.7 2.2201
Q 12 2 16.7 1.2227
R 4 6 150.0 2.1761
S 10 12 120.0 2.0792
T 8 12 150.0 2.1761
p01 = antilog [Σ log P / N]
Σ log P=9.8742
Po1= antilog(9.8742/5)= 1.9748
=antilog(1.9748)
=9419+17
=94.36
 p01 = antilog [Σ log P / N]
 Po1= antilog(9.8742/5)= 1.9748
 =antilog(1.9748)
 =9419+17
 =94.36
WEIGHTED INDEX NUMBERS
 These are those index numbers in which rational weights are
assigned to various chains in an explicit fashion.
(A) Weighted aggregative index numbers-
These index numbers are the simple aggregative type
with the fundamental difference that weights are
assigned to the various items included in the index.
 Dorbish and bowley’s method.
 Fisher’s ideal method.
 Marshall-Edgeworth method.
 Laspeyres method.
 Paasche method.
 Kelly’s method.
LASPEYRES METHOD-
This method was devised by Laspeyres in 1871. In this
method the weights are determined by quantities in the base.
100
0
0
0
1
01 



q
p
q
p
p
Paasche’s Method.
This method was devised by a German statistician Paasche
in 1874. The weights of current year are used as base year
in constructing the Paasche’s Index number.
100
1
0
1
1
01 



q
p
q
p
p
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 Index.
Fisher’s deal index number is the geometric mean of the
Laspeyre’s and Paasche’s index numbers.
100
2
1
0
1
1
0
0
0
1
01 






q
p
q
p
q
p
q
p
p



 

1
0
1
1
0
0
0
1
01
q
p
q
p
q
p
q
p
P 100

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.
100
1
0
0
0
1
1
0
1
01 



 


q
p
q
p
q
p
q
p
p
100
0
1
01 



q
p
q
p
p
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.
EXAMPLE-
Given below are the price quantity data,with price
quoted in Rs. per kg and production in qtls.
Find- (1) Laspeyers Index (2) Paasche’s Index
(3)Fisher Ideal Index.
ITEMS PRICE PRODUCTION PRICE PRODUCTION
BEEF 15 500 20 600
MUTTON 18 590 23 640
CHICKEN 22 450 24 500
2002 2007
SOLUTION-
ITEMS PRICE PRODUCT
ION
PRICE PRODU
CTION
BEEF 15 500 20 600 10000 7500 12000 9000
MUTTON 18 590 23 640 13570 10620 14720 11520
CHICKEN
22 450 24 500 10800 9900 12000 11000
TOTAL 34370 28020 38720 31520
 
0
p  
0
q  
1
q
 
1
p
 
0
1q
p  
0
0q
p  
1
1q
p  
1
0q
p
SOLUTION-
66
.
122
100
28020
34370
100
0
0
0
1
01 






q
p
q
p
p
2. Paasche’s Index :
84
.
122
100
31520
38720
100
1
0
1
1
01 






q
p
q
p
p
3. Fisher Ideal Index
100
 69
.
122
100
31520
38720
28020
34370







 

1
0
1
1
0
0
0
1
01
q
p
q
p
q
p
q
p
P
1.Laspeyres index:
WEIGHTED AVERAGE OF PRICE RELATIVE
In weighted Average of 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-



V
PV
P01
100
0
1


P
P
P
Where-
P=Price relative
V=Value weights= 0
0q
p
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.
100
0
0
1
1




q
p
q
p
V
CHAIN INDEX NUMBERS
When this method is used the comparisons are not
made with a fixed base, rather the base changes from
year to year. For example, for 2007,2006 will be the
base; for 2006, 2005 will be the same and so on.
Chain index for current year-
100
year
previous
of
index
Chain
year
current
of
relative
link
Average 

EXAMPLE-
 From the data given below construct an index
number by chain base method.
Price of a commodity from 2006 to 2008.
YEAR PRICE
2006 50
2007 60
2008 65
SOLUTION-
YEAR PRICE LINK RELATIVE CHAIN INDEX
(BASE 2006)
2006 50 100 100
2007 60
2008 65
120
100
50
60


108
100
60
65


120
100
100
120


60
.
129
100
120
108


REFERENCES
1. Statistics for management.
Richard i. Levin & David S. Rubin.
2. Statistics for Business and economics.
R.P.Hooda.
3. Business Statistics.
B.M.Agarwal.
4. Business statistics.
S.P.Gupta.
Index Numbers.ppt

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Index Numbers.ppt

  • 2. INTRODUCTION  An index number measures the relative change in price, quantity, value, or some other item of interest from one time period to another.  A simple index number measures the relative change in one or more than one variable.
  • 3. WHAT IS AN INDEX NUMBER . • An index number measures how much a variable changes over time. • We calculate the index number by finding the ratio of the current value to a base value.
  • 4. DEFINITION  “Index numbers are quantitative measures of growth of prices, production, inventory and other quantities of economic interest.”  -Ronold
  • 5. CHARACTERISTICS OF INDEX NUMBERS  Index numbers are specialized averages.  Index numbers are expressed in percentages  Index numbers measure the change in the level of a phenomenon.  Index numbers measure the effect of changes over a period of time.
  • 6. USES OF INDEX NUMBERS o To framing suitable policies o They reveal trends and tendencies. o Index numbers help in measuring the purchasing power of money.
  • 7. PROBLEMS RELATED TO INDEX NUMBERS  Choice of the base period.  Choice of an average.  Selection of formula  Selection of commodities.  Selection of data
  • 8. CLASSIFICATION OF INDEX NUMBERS Price Index Quantity Index Value Index Composite Index
  • 9. METHODS OF CONSTRUCTING INDEX NUMBERS Index Numbers Simple Aggregative Simple Average of Price Relative Unweighted Weighted Weighted Aggregated Weighted Average of Price Relatives
  • 10. SIMPLE AGGREGATIVE METHOD It consists in expressing the aggregate price of all commodities in the current year as a percentage of the aggregate price in the base year. 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. 100 0 1 01     p p P 1 p 0 p
  • 11. EXAMPLE:- FROM THE DATA GIVEN BELOW CONSTRUCT THE INDEX NUMBER FOR THE YEAR 2007 ON THE BASE YEAR 2008 IN RAJASTHAN STATE. COMMODITIES UNITS PRICE (Rs) 2007 PRICE (Rs) 2008 Sugar Quintal 2200 3200 Milk Quintal 18 20 Oil Litre 68 71 Wheat Quintal 900 1000 Clothing Meter 50 60
  • 12. SOLUTION:- COMMODITIES UNITS PRICE (Rs) 2007 P0 PRICE (Rs) 2008 P1 Sugar Quintal 2200 3200 Milk Quintal 18 20 Oil Litre 68 71 Wheat Quintal 900 1000 Clothing Meter 50 60 3236 0  p 4351 1  p Index Number for 2008- 45 . 134 100 3236 4351 100 0 1 01        p p P It means the prize in 2008 were 34.45% higher than the previous year.
  • 13.
  • 14. SIMPLE AVERAGE OF RELATIVES METHOD.  The current year price is expressed as a price relative of the base year price. These price relatives are then averaged to get the index number. The average used could be arithmetic mean, geometric mean or even median. N p p P            100 0 1 01 Where N is Numbers Of items. When geometric mean is used- N p p P            100 log log 0 1 01
  • 15. EXAMPLE- From the data given below construct the index number for the year 2008 taking 2007 as by using arithmetic mean. Commodities Price (2007) Price (2008) P 6 10 Q 2 2 R 4 6 S 10 12 T 8 12
  • 16. SOLUTION- Index number using arithmetic mean- Commodities Price (2007) Price (2008) Price Relative P 6 10 166.7 Q 12 2 16.67 R 4 6 150.0 S 10 12 120.0 T 8 12 150.0 100 0 1  p p          100 0 1 p p =603.37 63 . 120 5 37 . 603 100 0 1 01              N p p P 1 p 0 p
  • 17. SIMPLE AVERAGE OF PRICE RELATIVES INDEX NUMBER USING GEOMETRIC MEAN Commoditi es Price (2007) Price (2008) Price Relative Log p P 6 10 166.7 2.2201 Q 12 2 16.7 1.2227 R 4 6 150.0 2.1761 S 10 12 120.0 2.0792 T 8 12 150.0 2.1761 p01 = antilog [Σ log P / N] Σ log P=9.8742 Po1= antilog(9.8742/5)= 1.9748 =antilog(1.9748) =9419+17 =94.36
  • 18.  p01 = antilog [Σ log P / N]  Po1= antilog(9.8742/5)= 1.9748  =antilog(1.9748)  =9419+17  =94.36
  • 19. WEIGHTED INDEX NUMBERS  These are those index numbers in which rational weights are assigned to various chains in an explicit fashion. (A) Weighted aggregative index numbers- These index numbers are the simple aggregative type with the fundamental difference that weights are assigned to the various items included in the index.  Dorbish and bowley’s method.  Fisher’s ideal method.  Marshall-Edgeworth method.  Laspeyres method.  Paasche method.  Kelly’s method.
  • 20. LASPEYRES METHOD- This method was devised by Laspeyres in 1871. In this method the weights are determined by quantities in the base. 100 0 0 0 1 01     q p q p p Paasche’s Method. This method was devised by a German statistician Paasche in 1874. The weights of current year are used as base year in constructing the Paasche’s Index number. 100 1 0 1 1 01     q p q p p
  • 21. 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 Index. Fisher’s deal index number is the geometric mean of the Laspeyre’s and Paasche’s index numbers. 100 2 1 0 1 1 0 0 0 1 01        q p q p q p q p p       1 0 1 1 0 0 0 1 01 q p q p q p q p P 100 
  • 22. 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. 100 1 0 0 0 1 1 0 1 01         q p q p q p q p p 100 0 1 01     q p q p p 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.
  • 23. EXAMPLE- Given below are the price quantity data,with price quoted in Rs. per kg and production in qtls. Find- (1) Laspeyers Index (2) Paasche’s Index (3)Fisher Ideal Index. ITEMS PRICE PRODUCTION PRICE PRODUCTION BEEF 15 500 20 600 MUTTON 18 590 23 640 CHICKEN 22 450 24 500 2002 2007
  • 24. SOLUTION- ITEMS PRICE PRODUCT ION PRICE PRODU CTION BEEF 15 500 20 600 10000 7500 12000 9000 MUTTON 18 590 23 640 13570 10620 14720 11520 CHICKEN 22 450 24 500 10800 9900 12000 11000 TOTAL 34370 28020 38720 31520   0 p   0 q   1 q   1 p   0 1q p   0 0q p   1 1q p   1 0q p
  • 25. SOLUTION- 66 . 122 100 28020 34370 100 0 0 0 1 01        q p q p p 2. Paasche’s Index : 84 . 122 100 31520 38720 100 1 0 1 1 01        q p q p p 3. Fisher Ideal Index 100  69 . 122 100 31520 38720 28020 34370           1 0 1 1 0 0 0 1 01 q p q p q p q p P 1.Laspeyres index:
  • 26. WEIGHTED AVERAGE OF PRICE RELATIVE In weighted Average of 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-    V PV P01 100 0 1   P P P Where- P=Price relative V=Value weights= 0 0q p
  • 27. 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. 100 0 0 1 1     q p q p V
  • 28. CHAIN INDEX NUMBERS When this method is used the comparisons are not made with a fixed base, rather the base changes from year to year. For example, for 2007,2006 will be the base; for 2006, 2005 will be the same and so on. Chain index for current year- 100 year previous of index Chain year current of relative link Average  
  • 29. EXAMPLE-  From the data given below construct an index number by chain base method. Price of a commodity from 2006 to 2008. YEAR PRICE 2006 50 2007 60 2008 65
  • 30. SOLUTION- YEAR PRICE LINK RELATIVE CHAIN INDEX (BASE 2006) 2006 50 100 100 2007 60 2008 65 120 100 50 60   108 100 60 65   120 100 100 120   60 . 129 100 120 108  
  • 31. REFERENCES 1. Statistics for management. Richard i. Levin & David S. Rubin. 2. Statistics for Business and economics. R.P.Hooda. 3. Business Statistics. B.M.Agarwal. 4. Business statistics. S.P.Gupta.