Theory of Index Numbers
Price Statistics Division
Ministry of Statistics & Programme Implementation
Overview
 Concepts & Definitions of Index Numbers.
 Use of Index Numbers.
 Concept of Price
 Comparison of different Index Formulae
 Economic Interpretations of Price Indices
Definition
“Index numbers are specialized averages which are
designed to measure the relative change in a group
of related variables with respect to time,
geographical location or other characteristics such
as income, profession etc.”
Uses of Index Numbers
 Help in framing suitable economic policies
 Reveal trends and tendencies
 Use in forecasting future economic activities
 Use as a deflator/Inflator
Classification of Index Numbers
 Price Index-e.g. WPI/PPI,CPI etc.
 Quantity/Volume Index- e.g. IIP, IAP
 Value Index - e.g. Import & Export Index
 Special Purpose Index – e.g. Stock Market
Index
Prices
“Price is an important economic variable in a
market economy. Basic price data enter into the
calculation of price index numbers. In other words,
Index Numbers are the means of aggregation of
these prices and work as indicator of price
behaviour/movement in the economy.”
Price Index Numbers
A price index compares the prices of a “set of products”
(Basket) at different points in time, or at different locations. It,
therefore, measures price changes or price differentials rather
than price levels. A price index shows how much must be
paid for a set of products at some point in time relative to
what would have been paid for the same set of products at
another point in time, which latter is taken as the
reference/base of the comparison.
Price Indices
Collection
• Production Floor
Price • Consumer Floor
Aggregation
of Prices
• Elementary Aggregates (Index No.)
• Major Aggregates (Index No.)
Inflation
• Interpretation/Analysis of Prices Indices
• Use of Price Indices
Methods of Construction of Price Index Numbers
Index Number
Unweighted
Simple
Aggregated
Averages of
Price Relatives
Arithmetic
Mean
Geometric
Mean
Weighted
Weighted
Aggregated
Weighted
Average of
Price Relatives
Arithmetic
Mean
Geometric
Mean
Stages of Price Index Compilation
The Price Indices are compiled at two levels;
1. Elementary (Low-Level) Aggregates
2. Major (Higher-Level)Aggregates
Elementary Aggregates Level
 The first stage in compilation of price indices is compilation of
lower-level (elementary) price indices i.e. item level indices, which are
then aggregated to obtain higher-level price indices.
 The item level index is calculated either on different varieties of
same item or on different outlets of prices of same item. The
weights are not, generally, available below the elementary
aggregate level.
 Four most widely used elementary aggregate index formulae are
Mode Method, Dutot, Carli and Jevons.
Methods of Elementary Aggregate
• Four methods are, generally, used for aggregating price of different
item specifications/varieties into single item price;
• Mode Method- Most Popular specifications/varieties
• Dutot’s Method -
Methods of Elementary Aggregate
• Carli’s Method -
• Jevon’s Method -
P ric e
S l.
N o .
Ite m S p e c ific a tio n B a s e
P e rio d
(P 0)
C u rre n t
P e rio d (P 1)
P ric e R e la tiv e
(P 1/P 0)
1. M e d ic in e A llo p a th ic 1 2 3
i) D ia b e te s - T a b 29.00 55.40 1.9103
ii) B lo o d P re s s u re – T a b 23.00 42.44 1.8452
iii) C ro c in T a b le ts , S trip 6.07 15.46 2.5470
iv ) B e n a d ry l - C o u g h S y ru p 36.20 38.33 1.0588
v ) D e tto l L iq u id B o ttle 9.86 11.45 1.1613
A rith m e tic M e a n of P ric e s 20.8260 32.6160 D u to t 1.5661
G e o m e tric M e a n of P ric e s 17.6373 27.5783 J e v o n 1.6165
A rith m e tic M e a n of P ric e
R e la tiv e s
C a rli 1.7045
G e o m e tric M e a n of P ric
e
R e la tiv e s
J e v o n 1.6165
Table 1.1: Illustration for Calculating Elementary Aggregate:
Major (Higher-Level) Aggregates
 After getting lower-level (elementary) price indices i.e.
item level indices, which are then aggregated to obtain higher-
level price indices.
 The weights are, generally, used for combining elementary
level aggregates (item level indices) into higher-level
(sub- group/group/national level) aggregates.
The most widely used higher level aggregate formulae are
Laspeyres, Lowe and Young.
Components of Weighted Index Number
Index Number
Weights
Base Period
Prices
Current Period
Prices
Weighted Aggregative Method
In this method appropriate weights are assigned
commodities to reflect their relative importance in
to various
the group.
Usually the quantities consumed, sold or marketed in the base year or
in a given year are used as weights. If wi is the weight attached to ith
commodity then the weighted price index is given by
------------ (4)
Where
= prices for the base period ‘0’.
0

i
= price for ith item in the current period ‘t’.
 i i
t
i i
0t
(w  p )
(w  p )
P  i
100
t
p
i
i
p0
Test of Adequacy of Index Number Formulae/Methods
4. Circular Test
P0 1
 P1 2
 P2 0
 1


















i
i

i
i
t
t
 i
i

 i
 i
i
i
t
 i
i

i
 i
i
i
t
 i
i
P  Q
 (q 
p )
(q 
p )
(q 
p )
(q 
p )
(q 
p )
(q 
p ) 0
0
0
0
0
0
0
0
0t 0t

1. Unit Test
2. Time Reversal Test
P0t
 Pt 0

1
3. Factor Reversal Test
Laspeyres’ Method
Laspeyres Price Index is obtained by replacing ‘wi’ in the index
formula by qi
0 the quantity consumed/produced in base year which is
given below:
Its operational form which is used for compilation;
0
0


i
i
i
 i
100
0 t
i
i
La
(q  p )
(q  p )
P0t
0
0 0
 1 0 0



i
i i
i
i
i
i i
0 t
L a
( q  p 0
)
p o
p t
 p )
( q
P
Laspeyres’ Method (Contd./-)
0

i

i
i
0t
p 0
p t
w i
100
PLa
Where denotes the share of expenditure/value of output of ith
is
Price Relative of ith item, which is the ratio of the current period ‘t’ price to
base period ‘0’ price.
0 0
 i i
0
 i i ,
(q  p )
(q0
 p0
)
wi
i
i
i
item in the base period ‘0’ and is termed as the weight the ith item and p o
p t
Paasche’s Method
Paasche Price Index is obtained by replacing ‘wi’ in the index formula by
qi
t the quantity consumed/produced in current period ‘t’ which is given
below:
Its operational form which may be used for compilation of price
index;

i
i
t
i
 i
 1 0 0
t
 i i
P a
(q  p 0
)
(q  pt
)
P 0 t

i i
i
t
 i
 i
100
t
i i
Pa
pt
p0
(q  pt
) i
(q  pt
)
P0t
Limitations:
i. The Laspeyre’s index shows an upward bias (in relation
to the true cost of living index) with the passage of
time
i.e. ‘overestimation’ while the Paasche’s index
shows a downward bias i.e. ‘underestimation’ .
ii. While using Paasche’s method, it is necessary to collect
the information on quantity as well as prices of
current period which is very difficult to implement.
Dorbish and Bowley’s Method
Dorbish and Bowley have suggested simple arithmetic mean of the
two indices - Laspeyre’s and Paasche’s - so as to take into account the
influence of both the periods i.e. current as well as base periods. The
formula for constructing the index is :
2 0
0
0
0


100





1
 

 i
i
t
i
i
t
i i
i
i
i
t
 i i

i

0t
DB
(q  p )
(q  pt
)

(q  p )
(q  p )
P
Fisher’s Method
To overcome the limitations mentioned for earlier methods Irving
Fisher constructed his ‘Ideal Index’ as the geometric mean of the
Laspeyre’s and Paasche’s Indices, since the geometric mean would lie in
between the two and hence would be nearest to the true cost of living
index. Thus, Fisher’s Ideal Index would be given by
0
0
0
100








 



 
i
i
t
i
i
t
i
t
i
i
i
i
i
0 t
i
i
Fi
(q  p )
(q  p )
(q  p )
(q  p )
P 0 t
Fisher’s Method
Fisher’s Price Index number is known as ‘Ideal’ due to the following reasons:-
1. It is free from bias, since the upward bias of Laspeyres’ index number is
balanced to a great extent by the downward bias of Paasche’s index number
2. It is based on the geometric mean, theoretically which is considered to be
the best average for constructing index numbers.
3. It conforms to certain tests (3 out of 4 tests) of consistency.
4. This formula takes into account the influence of the current as well as the
base year.
Marshall-Edgeworth’s Method
Marshall-Edgeworth’s Index is obtained by replacing W in the index
formula by the average quantity of base year and current year i.e. (qi0
+ qit)/2 , which is given below :
0
0

i
 i
i
0
i
 i
 1 0 0
i
i
t
i
M E
p (q  q t
)
 q t
)
p (q
P 0 t
Lowe’s Method
In this method appropriate fixed weights, not necessarily of base year or current
year, are assigned to various commodities to reflect their relative importance. If is
the weight attached to a commodity then the index is given by
Where may belong to any period, including one between 0 and t, however,
generally it exits before period 0. It means weight reference period ‘a’ differ from price
reference periods either ‘0’ or ‘t’. The operational form of Lowe Method, which may be
used for compilation of price indices, is as follow;

i
a
i i
 i
 1 0 0
a
 i i
L o
( q  p 0
)
( q  p t
)
P a 0 t
i
qa
a
i
q
 1 0 0



i
a
i i
i
i
i
a 0
i i
L o
( q  p 0
)
p o
p t
( q  p )
P a 0 t
Young’s Method
Instead of holding constant the quantities of period ‘a’, a statistical office may calculate CPI
as a weighted arithmetic average of the individual price relatives, holding constant the
revenue shares of period ‘a’. The resulting index is called a Young method. The Young
method is defined as follows:
i.e.
The Lowe index may be preferred to the Young index because the Young index has some
undesirable properties that cause it to fail some tests of adequacy for being a valid index
number.
100



i
a
i i
i
i
i
a a
i i
Yo
(q  pa
)
p o
pt
(q  p )
Pa 0 t
i
i
a
i
a0t
p 0
pt
 w i
100
PYo

General Remarks
• In practice, the quantities/expenditures used for compilation of price
indices, particularly for CPI, usually has to be based on a household
consumption expenditure survey, generally conducted in an earlier
period than either of the two periods whose prices are compared. The
price reference period ‘0’ is usually later than the weight reference period ‘a’
because of the time needed to collect and process the household
consumption expenditure data. Consequently, Lowe indices are widely
used for CPI purposes.
• An overwhelming majority of the index numbers of consumer prices in
vogue in different countries of the world are based on the Laspeyre’s
formula as it is simple to calculate and requisite data is easily available.
Fixed Base Indices
vis-à-vis
Chain Base Indices
Chain Index Numbers
In this method, the comparison are not made with fixed base, the base
changes from year to year. For example, for 2018, 2017 will be the base and
for 2019, 2018 will be base, and so on.
Chain Index for current year = [(Average link relative of current year)
x (Chain Index for previous year)]/100 i.e.
100
0 2
p1
LR1 2 
p 2 100

L R 1 2  C I P 0 1 , where
CI P
Conversion of Chain Index to Fixed Base Index
• Current Year F.B.I. = (Chain Index for current
year) x (Fixed Base Index for previous year)]/100 i.e.
100
02
FBIP
CI P12FBIP01

Consumer Price Index
vis-à-vis
Cost of Living Index
Cost of Living Index (COLI)
• The COLI for such a consumer has been defined concisely
as the ratio of the minimum expenditures needed to attain
the given level of utility, or welfare, under two different
price regimes;
0
0

i
i
 i
t
i
t
i
(q 
p )
(q  p )
COLI  i
100
Cost of Living Index (COLI) (Contd./-)
• In order to qualify as a CPI, a COLI must therefore hold
constant not only the consumer’s preferences but all the
non-price factors that affect the consumer’s welfare and
standard of living. If a CPI is intended to be a COLI it
must be conditional on:
a particular level of utility or welfare;
a particular set of consumer preferences;
a particular state of the physical and social environment
Consumer Price Index vis-à-vis Cost of Living Index
Consumer Price Index Number is designed to measure changes over a
period of time in the level of retail prices of selected basket of goods &
services on which consumer in general or those of a specific/target
population spend their income.
On the other hand, the Cost of Living Index of a specific/target
population, at any point of time, means the cost of goods & services
consumed by an average household/consumer with a given taste and
preference which is designed to attain a certain level of
satisfaction/level of living/level of utility.
Consumer Price Index
vis-à-vis
Purchasing Power Parities
Consumer Price Index (CPI) is a temporal index where
prices of same group of items (goods and services) are
compared for a fixed location at different points of time.
Purchasing Power Parities (PPP) is a spatial index, where
the prices same group of items (goods and services) are
compared at a fixed point of time for different locations
(countries).
Major Official Indices in India
Consumer Price Index
Wholesale Price Index
Index of Industrial Production
First two are Price Indices while the third one is a Quantity
Index
The price index is an indicator of the average price
movement over time of a fixed basket of goods and services.
Selection/Fixing of Base Period
Weight Reference/Price Reference,
Length of Base Period
Level of Economic Activities,
Calendar/Financial/Agriculture Year
Integration with other Economic Indicators
Classification of Items (Goods & Services)
 Classification of items is a central theme in the compilation
of the CPI.
 Most countries have now, moved to the international
standard classification COICOP (Classification of Individual
Consumption according to Purpose)
 Many countries have adopted COICOP in their economic
statistics (for example, in the CPI, National Accounts,
International Comparison Programme (ICP), and household
budget surveys), with a clear advantage for integration of
data‐sets and enhanced analytical capabilities.
CLASSIFICATION OF INDIVIDUAL
CONSUMPTION ACCORDING TO
PURPOSE (COICOP)
 The entire set of consumption goods and services are
divided into several groups, such as Food & non alcoholic
beverages, Clothing & footwear, Health, transport etc.
Each group is further divided into classes
 Each class can be further sub-divided in to homogeneous
sub-classes.
• 01-12 - Individual consumption expenditure of households
• 01 - Food and non-alcoholic beverages
• 01.1 - Food
• 01.2 - Non-alcoholic beverages
• 02 - Alcoholic beverages, tobacco and narcotics
• 02.1 - Alcoholic beverages
• 02.2 - Tobacco
• 02.3 – Narcotics
• 03 - Clothing and footwear
• 03.1 - Clothing
• 03.2 - Footwear
• 04 - Housing, water, electricity, gas and other fuels
• 04.1 - Actual rentals for housing
• 04.2 - Imputed rentals for housing
• 04.3 - Maintenance and repair of the dwelling
• 04.4 - Water supply and miscellaneous services relating to the dwelling
• 04.5 - Electricity, gas and other fuels
• 05 - Furnishings, household equipment and routine household maintenance
• 05.1 - Furniture and furnishings, carpets and other floor coverings
• 05.2 - Household textiles
• 05.3 - Household appliances
• 05.4 - Glassware, tableware and household utensils
• 05.5 - Tools and equipment for house and garden
• 06 - Health
• 06.1 - Medical products, appliances and equipment
• 06.2 - Outpatient services
• 06.3 - Hospital services
• 07 - Transport
• 07.1 - Purchase of vehicles
• 07.2 - Operation of personal transport equipment
• 07.3 - Transport services
• 08 - Communication
• 08.1 - Postal services
• 08.2 - Telephone and telefax equipment
• 08.3 - Telephone and telefax services
• 09 - Recreation and culture
• 09.1 - Audio-visual, photographic and information processing equipment
• 09.2 - Other major durables for recreation and culture
• 09.3 - Other recreational items and equipment, gardens & pets
• 09.4 - Recreational and cultural services
• 09.5 - Newspapers, books and stationery
• 09.6 - Package holidays
• 10 - Education
• 10.1 - Pre-primary and primary education
• 10.2 - Secondary education
• 10.3 - Post-secondary non-tertiary education
• 10.4 - Tertiary education
• 10.5 - Education not definable by level
• 11 - Restaurants and hotels
• 11.1 - Catering services
• 11.2 - Accommodation
services
• 12 - Miscellaneous goods
and services
• 12.1 - Personal care
• 12.2 - Prostitution
• 12.3 - Personal effects
n.e.c.
• 12.4 - Social protection
• 12.5 - Insurance
• 12.6 - Financial services
THE SIX CONSUMPTION GROUPS
I-FOOD
II-PAN, TOBACCO & INTOXICANTS
III-CLOTHING AND FOOTWEAR
IV-HOUSING
V-FUEL AND LIGHT
VI-MISCELLANEOUS
SUB-GROUPS WITHIN THE FOOD GROUP (I)
1 Cereals and products
2 Meat and fish
3 Egg
4 Milk and products
5 Oils and fats
6 Fruits
7 Vegetables
8 Pulses and Products
9 Sugar and confectionery
10 Spices
11 Non-alcoholic beverages
12 Prepared meals etc. (Restaurants)
SUB-GROUPS WITHIN CLOTHING AND
FOOTWEAR GROUP (III)
1 Clothing
2 Footwear
SUB-GROUPS WITHIN THE MISCELLANEOUS
GROUP (VI)
1 Household goods and services
2 Health
3 Transport and communication
4 Recreation and amusement
5 Education
6 Personal care and effects
Code Structure of items
 Nine digits coding structure of items is being followed which
contain identification of Groups, Categories, Sub-groups, Sections,
Goods or Services etc.
From left, 1st digit denotes ‘Group’, 2nd digit denotes ‘Category’, 3rd
- 4th digits denote ‘Sub-group’, 5th digit denotes ‘Section’, 6th digit
denotes ‘Goods/Services’ (‘1’ for Goods and ‘2’ for Services), 7th-8th
digits denote ‘Weighted Item’, 9th digit gives identification of more
than one Priced Item.
Code Structure of items
Digit Description Code
1st Group 1,2,3,4,5,6
2nd
Category 1,2,3,4…..
3rd & 4th
Sub-Group 1-12, 1-2, 1-6
5th
Section 1,2,3
6th
Good/Service 1,2
7th & 8th
Weighted item 1,2.3,4……
9th
Price Item 0 or 1,2.3,4……
PDS Item (APL, BPL, AAY) A,B, C
Code Structure of items (Example)
1 F o o d a n d b e ve r a g e s
1. F o o d
1. C e r e a l s a n d p r o d u c t s
1. M a j o r c e r e a l s a n d p r o d u c t s
2. C o a r s e c e r e a l s a n d p r o d u c t s
3. G r i n d i n g c h a r g e s
2. M e a t a n d f i s h
1. M e a t
2. F i s h , p r a w n
2. B e v e r a g e s
11. N o n - a l c o h o l i c b e v e r a g e s
1. Te a a n d c o f f e e b e v e r a g e s
2.M i n e r a l w a t e r a n d o t h e r b e v e r a g e s
3 C l o t h i n g a n d f o o t w e a r
12. C l o t h i n g
1. R e a d y m a d e g a r m e n t s
2. K n i t t e d g a r m e n t s
3. O t h e r c l o t h i n g
4. Ta i l o r i n g a n d l a u n d r y s e r v i c e s
13. F o o t w e a r
Code Structure of items (Example)
Code Item
1.1.01.1.1.08.2 wheat(loose)- other than PDS
6.1.01.7.2.01.1 domestic servant
Item Code
Petrol (Litre) 5.1.01.3.1.03.0
Hair cutting charges(ladies) 6.1.06.3.2.01.2
Weights
 The Weights represent expenditure on specific good(s) or service(s) as
percentage/proportion of the total consumption expenditure of all
goods and services included in the consumption basket for the target
group during the reference period/base period.
 In other words, weights are nothing but the relative importance of
goods and services consumed by a target group during the
reference period.
 The whole structure of weights is known as the “Weighting
Diagrams”.
Approach for weighting diagram
There are two broad approaches to building up the weighting diagram.
One method of weight distribution is to build it up "from below" i.e., add up the
shares of each item within a group, then group shares into major group shares
and then add up to arrive at "all commodities" normalised to 100.
The other method is to construct the weighting diagram "from above". By
this method, weights for the major groups would be imposed from outside
and, depending on the sample concerned, weights within them at the group
level could also be parametrically imposed.
SOURCE OF WEIGHTS
The Average Expenditure of a household/Family is derived from a
Consumer Expenditure Survey(CES) /Family Budget Enquiry(FBE)
consisted of all items of expenditure reported by the households/families
surveyed.
For overcoming seasonal variations survey to be conducted for 12
months at each centre with a reference period of one month.
These items of expenditure can be broadly divided as;
 Consumption Expenditure;
 Non-Consumption Expenditure;
 Expenditure on Capital Outlays.
Derivation of Weighting Diagram
Item Level
Sub-Group Level
Group Level
State Level
All India Level (General)
Index Basket/Consumption Basket
• The following four-fold criteria may be adopted:
1. include all PDS items
2. include all items accounting for 1% or more of total expenditure at sub-group level.
3. include all items accounting for more than specified percentage of total expenditure;
G r o u p G r o u p D e s c r i p t i o n S p e c i f i e d percentage
out o f
total ex p endit ure
G r. 1 , G r. 2
G r. 4 , G r. 6
F o o d a n d B e v e r a g e s , P a n , To b a c c o a n d
I n t ox i c a n t s , H o u s i n g a n d M i s c e l l a n e o u s
e x c l u d i n g ‘ B e d d i n g ’
> 0 . 0 4 %
G r. 5 F u e l a n d l i gh t > 0 . 0 3 %
G r. 3 C l o t h i n g a n d fo o t w e a r, S e c t i o n
‘ B e d d i n g ’ u n d e r s u b g r o u p ‘ H o u s e h o l d
G o o d s a n d S e rv i c e s ’
> 0 . 0 2 %
Index Basket/Consumption Basket
4. include all items for which more than 75% households have reported consumption
Include “Composite Items” as a single item
Include certain important items for pricing even though the same are not being retained in the
weighting diagram as such. For this purpose expenditure against those items may be clubbed
together and put along with the weight of “other” item of the same subgroup provided their
combined weight is more than 0.5% at sub group level.
Sl. Composite items Items included
1 Other rice products (106) Chira (103), khoi/lawa (104), muri (105)
2 Other wheat products (114) Maida (110), suji/rawa (111), sewai/noodles(112),
bread: bakery (113), biscuits, chocolates , etc.(291)
Imputation of Weights
 For items not retained in the weighting diagram, the expenditure
recorded on such items in the consumer expenditure survey, may be
imputed to other items, section, sub-group and group.
i.e.
Item Level Imputation
Section Level Imputation
Sub-Group Level Imputation
Group Level Imputation
Derivation of Weighting Diagram at Item Level
Cereals and Cereal Products Avg. Exp
(in Rs.)
% Exp
(Weight)
1. Rice (+Chira Muri Khoi Lava) 95.73 27.56
2. Wheat (+Dalia) 92.41 26.61
3. Wheat Atta (+Maida, Suji/Rava, Sewai) 131.88 37.97
4. Bread 15.39 4.43
5. Grinding Charges 11.90 3.43
Sub-Group Total 347.31 100.00
Sub-Group Imputation (+Bajra, Maize,Sago) 0.37
Total Exp. on Cereals and Cereal Products 347.68 19.01
Food Group Total 1829.20 100.00
Derivation of Weighting Diagram at Sub-Group Level
Sl. Food Sub-Group Avg. Exp (in Rs.) % Exp (Weight)
1. Cereals & Cereal Products 347.68 19.01
2. Pulses & Pulse Products 124.87 6.83
3. Oil and Fats 117.87 6.44
4. Meat, Fish and Eggs 77.25 4.22
5. Milk and Milk Products 476.97 26.08
6. Condiments and Spices 99.83 5.46
7. Vegetables and Fruits 266.06 14.54
8. Other Foods 318.67 17.42
Food Group Total 1829.20 100.00
Gr. Imp. (Prepared Meal) 126.37
Total Exp. on Food Group 1955.57 43.75
Total Consumption Exp. 4469.78 100.00
Derivation of Weighting Diagram at Group Level
Sl.
No.
Group of Items Avg. Exp
(in Rs.)
% Exp
(Weight)
I Food Group 1955.57 43.75
II Pan, Supari, Tobacco & Intoxicants 94.48 2.12
III Clothing, Bedding & Footwear 254.01 5.68
IV Housing 926.14 20.72
V Fuel & Light 240.93 5.39
VI Miscellaneous Group 998.65 22.34
Total 4469.78 100.00
Derivation of Weighting Diagram at All India Level
Group Assam
(1.77)
Bihar
(5.14)
Maha
(13.18)
Tamil N.
(7.25) ------
All India
(100.00)
I Food Group
43.75 48.88 48.53 44.08 ------ 45.86
II Pan, Supari, Tobacco
& Intoxicants 2.12 1.29 2.64 1.91
------
2.38
III Fuel & Light 5.39 6.98 7.42 6.63 ------ 6.84
IV Housing 20.72 13.26 13.73 18.37 ------ 10.07
V Clothing, Bedding &
Footwear
5.68 5.16 6.81 4.70 ------ 6.53
VI Miscellaneous
Group
22.34 24.43 20.87 24.31 ------ 28.32
Total 100.00 100.00 100.00 100.00 100.00
Consistency in Weights
State/
item
1 2 3 4 -- j -- 35 36 Total
1 N11 N12 N13 N14 N1j N135 N136 N1.
2 N21 N22 N23 N24 N2j N235 N236 N2.
3 N31 N32 N33 N34 N3j N335 N336 N3.
4 N41 N42 N43 N44 N4j N435 N436 N4.
…. …. …. …. …. …. …. …. ….
i Ni1 Ni2 Ni3 Ni4 Nij Ni35 Ni36 Ni.
…. …. …. …. …. …. …. …. ….
299 N2991 N2992 N2993 N2994 N299j N299935 N29936 N299.
300 N3001 N3002 N3003 N3004 N300j N30035 N30036 N300.
Estd. No.
of HH
N.1 N.2 N.3 N.4 N.j N.35 N.36 N..
Nij : is Estimated No. of Household incurred expenditure on ith item in jth
State Note : Sum of Nij over all i is not equal to N.j
Consistency in Weights
State/
item
1 2 3 4 -- j -- 35 36 Total
1 X11 X12 X13 X14 X1j X135 X136 X1.
2 X21 X22 X23 X24 X2j X235 X236 X2.
3 X31 X32 X33 X34 X3j X335 X336 X3.
4 X41 X42 X43 X44 X4j X435 X436 X4.
…. …. …. …. …. …. …. …. ….
i Xi1 Xi2 Xi3 Xi4 Xij Xi35 Xi36 Xi.
…. …. …. …. …. …. …. …. ….
299 X2991 X2992 X2993 X2994 X299j X299935 X29936 X299.
300 X3001 X3002 X3003 X3004 X300j X30035 X30036 X300.
Total X.1 X.2 X.3 X.4 X.j X.35 X.36 X..
Xij : is Average Monthly Household Expenditure reported on ith item in jth
Consistency in Weights
State/
item
1 2 3 4 -- j -- 35 36 Total
1 Y11 Y12 Y13 Y14 Y1j Y135 Y136 Y1.
2 Y21 Y22 Y23 Y24 Y2j Y235 Y236 Y2.
3 Y31 Y32 Y33 Y34 Y3j Y335 Y336 Y3.
4 Y41 Y42 Y43 Y44 Y4j Y435 Y436 Y4.
…. …. …. …. …. …. …. …. ….
i Yi1 Yi2 Yi3 Yi4 Yij Yi35 Yi36 Yi.
…. …. …. …. …. …. …. …. ….
299 Y2991 Y2992 Y2993 Y2994 Y299j Y299935 Y29936 Y299.
300 Y3001 Y3002 Y3003 Y3004 Y300j Y30035 Y30036 Y300.
Total Y.1 Y.2 Y.3 Y.4 Y.j Y.35 Y.36 Y..
Yij = Nij x Xij : Estimated Expenditure of Household on ith item in jth
State
Consistency in Weights
State/
item
1 2 3 4 -- j -- 35 36 Total
1 W11 W12 W13 W14 W1j W135 W136 W1.
2 W21 W22 W23 W24 W2j W235 W236 W2.
3 W31 W32 W33 W34 W3j W335 W336 W3.
4 W41 W42 W43 W44 W4j W435 W436 W4.
…. …. …. …. …. …. …. …. ….
i Wi1 Wi2 Wi3 Wi4 Wij Wi35 Wi36 Wi.
…. …. …. …. …. …. …. …. ….
299 W2991 W2992 W2993 W2994 W299j W299935 W29936 W299.
300 W3001 W3002 W3003 W3004 W300j W30035 W30036 W300.
Total W.1 =100 W.2 =100 W.3 =100 W.4 =100 W.J =100 W.35 =100 W.36 =100 W..=100
Note: Wij = Yij/ Y.. :Weight assigned to ith item in jth
State
Consistency in Weights
State/
item
1 2 3 4 -- j -- 35 36
All India
Weight to
item
1 W11 W12 W13 W14 W1j W135 W136 W1.
2 W21 W22 W23 W24 W2j W235 W236 W2.
3 W31 W32 W33 W34 W3j W335 W336 W3.
4 W41 W42 W43 W44 W4j W435 W436 W4.
…. …. …. …. …. …. …. …. ….
i Wi1 Wi2 Wi3 Wi4 Wij Wi35 Wi36 Wi.
…. …. …. …. …. …. …. …. ….
299 W2991 W2992 W2993 W2994 W299j W299935 W29936 W299.
300 W3001 W3002 W3003 W3004 W300j W30035 W30036 W300.
State
Weight
W.1 W.2 W.3 W.4 W.j W.35 W.36 W..=100
Note: W.j = Y.j/ Y,..is Weight assigned to jth State and Wi.=Yi./Y.. is All India Weight for ith item.
Weights of CPI 2012=100 Series
Sl.
No.
Group CPI (Urban) CPI (Rural)
All India (Rural
+ Urban)
1. Food & Beverages & 36.29 54.18 45.86
2
Pan, Tobacco
& Intoxicants
1.36 3.26 2.38
3. Fuel & Light 5.58 7.94 6.84
4. Housing 21.67 -- 10.07
5. Clothing & Footwear 5.57 7.36 6.53
6. Miscellaneous 29.53 27.26 28.32
Total 100.00 100.00 100.00
Prices
• Prices form the more important component of CPI numbers.
• Average Prices are used for each commodity which involves several
hundred varieties purchased from several different outlets in the
various markets at different point of time within the period
considered.
• The sample price quotations have to be collected through sampling
along three dimensions;
• Over the geographical spread of the region
• Over Time i.e. periodicity & timing of price collection
• Over all varieties of each commodity
Selection of Towns and Villages for Price Collection
• A total of 2295 markets (1181 rural markets, selecting two villages
from each district and 1114 urban markets, selecting 310 towns)
were selected for price collection.
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Classification of Markets
The Markets in urban area are classified in three category to give
better representation all sections of society:
Affluent
Middle
Poor
Market Survey
The Market Survey has following four stages:
• Sample verification of villages and towns and their markets.
• Identification of local markets.
• Identification of shops and mapping of items with shops.
• Fixing of Structured Product Descriptions (SPDs). It consists of
price determining characteristics viz. variety, type,
quality, brand, size, packed/loose, unit and quantity etc.
Market Price Collection day
Sl. No. Centre Name Market Name Price Collection Day
1 Delhi Azadpur Friday
2 Delhi Subzi Mandi Wednesday
3 Delhi Rani Bagh Tuesday
4 Delhi Shahdara Friday
5 Delhi Samaipur Badli Thursday
6 Delhi Mangol Puri Wednesday
7 Delhi Govind Puri/Kalkaji Wednesday
8 Delhi Moti Nagar Tuesday
Average Price
:
• Average monthly prices
of
market prices of specified variety of an item prevailing in
various articles are averages of the
the
selected outlets in the selected markets in a given town/village.
• For PDS items, the prices for the centres are weighted
average
prices, the weights being the proportion of the quantity available
through Public Distribution System and quantity procured from the
Open Market in different villages/towns in relation to base year
requirements of an average household.
Imputation
• Weight Level Imputation
• Price Level Imputation/Splicing
• (Imputed Price) t = (Price)t-1 x Avg. of (Price t / Price t-1)
Old Price New Price
1 1
o
o2
p
p2
 New Base Year Price= (Old Base Year Price x p)

1 2

,
o


o
 p1 p2

p  G.M .of

Treatment when items are not available
• Price is imputed, when not reported due to temporary
reasons, using following formula
Imputed Price = Last Month’s Price X
Average of (Ratio of
Current month to last
months price, Based on
Quotations having
prices in both months.)
Treatment when items are not available (Contd./-)
• Base Price is modified, when shop or item is substituted
using
following formula.
Modified Base Price = Base Price X
Price of new item (shop)
during last month / Price of
old item (shop) during last
month.
Compilation of CPI Numbers
Item Level
Price Item
Weight Item
Sub-Group Level
Group Level
State Level
All India Level (General)
Compilation of CPI Numbers
Item Index
Item Specification
Index
Shop Prices Shop Weights (if
available)
Shop
Index
Specification Prices Specification Weights (if
available)
Compilation of Index at Sub-Group Level
Sl.
No.
Cereals and Cereal
Products
% Exp
(Weight)
Base Price
(Po)
Current
Price (P1)
P.R.=
(P1/P0)
x100
(P.R. ) x
Weight
1. Rice 27.56 11.90 20.04 168.40 4641.20
2. Wheat 26.61 7.18 8.76 122.01 3246.57
3. Wheat Atta 37.97 8.11 17.54 216.28 8212.01
4. Bread (400 g) 4.43 7.00 16.00 228.57 1012.57
5.
Grinding Charges (40
kg)
3.43 40.42 127.50 315.44 1081.95
Total 100.00 18194.30
Sub Group Weight 19.01 Index = 181.94
Compilation of Index at Group Level
Sl.
No.
Food Sub-Group % Exp
(Weight)
Sub-Group
Index
Product
Moment
General
Index
1. Cereals & Cereal Products 19.01 182 3459.82
2. Pulses & Pulse Products 6.83 260 1775.80
3. Oil and Fats 6.44 217 1397.48
4. Meat, Fish and Eggs 4.22 310 1308.20
5. Milk and Milk Products 26.08 245 6389.60
6. Condiments and Spices 5.46 218 1190.28
7. Vegetables and Fruits 14.54 221 3213.34
8. Other Foods 17.42 237 4128.54
Food Group Total 100.00 22863.06 228.63
Compilation of Index at City/State Level
Sl. Group of Items % Exp
(Weight)
Group
Index,
Feb. 14
Product
Moment
General
Index
I-A Food Group
43.75 229 10018.75
I-B Pan, Supari, Tobacco & Intoxicants
2.12 226 479.12
II Fuel & Light 5.39 229 1234.31
III Housing 20.72 199 4123.28
IV Clothing, Bedding & Footwear 5.68 195 1107.6
V Miscellaneous Group 22.34 195 4356.3
Total 100.00 21319.36 213.19
Compilation of Index at All India Level
Sl.
No.
City/State % Exp
(Weight)
City/State
Index
Product
Moment
General Index
1. Delhi
1.99 213 423.87
2. Mumbai 9.57 246 2354.22
3. Kolkata 1.51 229 345.79
4. Chennai 2.31 223 515.13
5. Nagpur 1.06 265 280.90
All India 100.00 23823.14 238.23
An Overview of
Inflation
Inflation
• Inflation is an increase in the price of a basket of goods and
services that is representative of segment of population or the
economy as a whole. Inflation is an upward movement in the
average level of prices. Its opposite is Deflation a downward
movement in the average level of prices. The boundary between
inflation and deflation is price stability.
• Inflation is a measure of rise in the general price level or
equivalently average level of prices of all the goods and services in
an economy. The general price level varies inversely with the
purchasing power of a unit of money, say one rupee.
Inflation
• Unanticipated and excessive inflation in the economy leads to
redistribution of wealth with no regard to social goals money,
consequently, widen the gap in wealth among different sections of
society.
• A macro-economic policy measure mostly used by the countries
across the world, to alleviate the adverse effects of inflation is
indexation. Indexation is the periodic adjustment of money-value
(e.g. wages, salaries, pension, rent, contract amount/charge/rate,
etc.) in relation to changes in a price index that reflects inflation.
The underlying principle of indexation is to enable the society to
live with inflation in such a way that no individual or group suffers
disproportionately.
Inflation
• Inflation can be measured in different ways. One method is to use
the Implicit Price Index (IPI) often called the Gross National Product
(GNP) deflator which by definition (for any year) is the ratio of GNP
at current prices to the GNP at constant prices. Thus, in computation
of IPI all the goods and services produced in the economy, are involved.
Another method of measuring the inflation is to use a price index.
Inflation Rate
• It is a percentage change in price index at specific point of time/period
of time over reference time/period.
Different Types/Ways of calculating Inflation with price indices:
1. Year over Year/Point to Point Inflation:
i.e. Index of April 2022: 170.1
Index of April 2021: 157.8
Inflation = 7.79 % = (170.1 – 157.8)*100/157.8
2. Month over Month
Inflation:
i.e. Index of April 2022:
170.1
Index of March 2022: 167.7
Inflation = 1.43 %
Inflation
3. Cumulative (Built up) Inflation:
i.e. Index of January 2021: 156.3
Index of November 2021: 166.7
Inflation = 6.65 %
4. Annual Inflation:
i.e. Annual Average Index of 2019 : 143.9
Annual Average Index of 2020 : 153.5
Inflation = 6.62 %
5. For every price index inflation rate may be
calculated.
• Important Remark: Looking at month over month, it is observed that the
overall index from March 2022 to April 2022 has moved up by 1.43
percentage points and the overall inflation for the same period increased
by 0.84 percentage points (7.79 – 6.95).
 Base Effect and Price Effect:
Rise in the inflation rate from March 2022 to April 2022 (0.84) may be
broken up into two components: (a) Movement of the current month’s index
from that of last month i.e. March 2022 to April 2022 (movement of
numerator), which may be called as Price Effect; and (b) Base Effect, i.e. rise or
fall in the index from March 2021 to April 2021 (movement of
denominator).
Inflation of Mar 22 = [(Index of Mar 22/Index of Mar 21)-1] x 100
Inflation of Apr 22 = [(Index of Apr 22/Index of Apr 21)-1] x 100.
Difference = {[(Index of Mar 22/Index of Mar 21)-1] - [(Index of Apr
22/Index of Apr 21)-1]} x 100
= [(Mar 22/Mar 21) - (Mar 22/Apr 21)] + [(Mar 22/Apr 21) - (Apr 22/Apr 21)]
= Base Effect + Price Effect
Base Effect and Price Effect:
After decomposing the rise in inflation rate (0.84), we find that the Price
Effect is 1.52 percentage points and the Base Effect is -0.68 percentage
points. Thus, change in overall inflation rate from March 2021 to April
2021 is 0.84 percentage points [0.84= (1.52) + (-0.68)]
Base Effect and Price Effect:
THANK
YOU

Introduction to Index Numbers in Conceptual Approach.pptx

  • 1.
    Theory of IndexNumbers Price Statistics Division Ministry of Statistics & Programme Implementation
  • 2.
    Overview  Concepts &Definitions of Index Numbers.  Use of Index Numbers.  Concept of Price  Comparison of different Index Formulae  Economic Interpretations of Price Indices
  • 3.
    Definition “Index numbers arespecialized averages which are designed to measure the relative change in a group of related variables with respect to time, geographical location or other characteristics such as income, profession etc.”
  • 4.
    Uses of IndexNumbers  Help in framing suitable economic policies  Reveal trends and tendencies  Use in forecasting future economic activities  Use as a deflator/Inflator
  • 5.
    Classification of IndexNumbers  Price Index-e.g. WPI/PPI,CPI etc.  Quantity/Volume Index- e.g. IIP, IAP  Value Index - e.g. Import & Export Index  Special Purpose Index – e.g. Stock Market Index
  • 6.
    Prices “Price is animportant economic variable in a market economy. Basic price data enter into the calculation of price index numbers. In other words, Index Numbers are the means of aggregation of these prices and work as indicator of price behaviour/movement in the economy.”
  • 7.
    Price Index Numbers Aprice index compares the prices of a “set of products” (Basket) at different points in time, or at different locations. It, therefore, measures price changes or price differentials rather than price levels. A price index shows how much must be paid for a set of products at some point in time relative to what would have been paid for the same set of products at another point in time, which latter is taken as the reference/base of the comparison.
  • 8.
    Price Indices Collection • ProductionFloor Price • Consumer Floor Aggregation of Prices • Elementary Aggregates (Index No.) • Major Aggregates (Index No.) Inflation • Interpretation/Analysis of Prices Indices • Use of Price Indices
  • 9.
    Methods of Constructionof Price Index Numbers Index Number Unweighted Simple Aggregated Averages of Price Relatives Arithmetic Mean Geometric Mean Weighted Weighted Aggregated Weighted Average of Price Relatives Arithmetic Mean Geometric Mean
  • 10.
    Stages of PriceIndex Compilation The Price Indices are compiled at two levels; 1. Elementary (Low-Level) Aggregates 2. Major (Higher-Level)Aggregates
  • 11.
    Elementary Aggregates Level The first stage in compilation of price indices is compilation of lower-level (elementary) price indices i.e. item level indices, which are then aggregated to obtain higher-level price indices.  The item level index is calculated either on different varieties of same item or on different outlets of prices of same item. The weights are not, generally, available below the elementary aggregate level.  Four most widely used elementary aggregate index formulae are Mode Method, Dutot, Carli and Jevons.
  • 12.
    Methods of ElementaryAggregate • Four methods are, generally, used for aggregating price of different item specifications/varieties into single item price; • Mode Method- Most Popular specifications/varieties • Dutot’s Method -
  • 13.
    Methods of ElementaryAggregate • Carli’s Method - • Jevon’s Method -
  • 14.
    P ric e Sl. N o . Ite m S p e c ific a tio n B a s e P e rio d (P 0) C u rre n t P e rio d (P 1) P ric e R e la tiv e (P 1/P 0) 1. M e d ic in e A llo p a th ic 1 2 3 i) D ia b e te s - T a b 29.00 55.40 1.9103 ii) B lo o d P re s s u re – T a b 23.00 42.44 1.8452 iii) C ro c in T a b le ts , S trip 6.07 15.46 2.5470 iv ) B e n a d ry l - C o u g h S y ru p 36.20 38.33 1.0588 v ) D e tto l L iq u id B o ttle 9.86 11.45 1.1613 A rith m e tic M e a n of P ric e s 20.8260 32.6160 D u to t 1.5661 G e o m e tric M e a n of P ric e s 17.6373 27.5783 J e v o n 1.6165 A rith m e tic M e a n of P ric e R e la tiv e s C a rli 1.7045 G e o m e tric M e a n of P ric e R e la tiv e s J e v o n 1.6165 Table 1.1: Illustration for Calculating Elementary Aggregate:
  • 15.
    Major (Higher-Level) Aggregates After getting lower-level (elementary) price indices i.e. item level indices, which are then aggregated to obtain higher- level price indices.  The weights are, generally, used for combining elementary level aggregates (item level indices) into higher-level (sub- group/group/national level) aggregates. The most widely used higher level aggregate formulae are Laspeyres, Lowe and Young.
  • 16.
    Components of WeightedIndex Number Index Number Weights Base Period Prices Current Period Prices
  • 17.
    Weighted Aggregative Method Inthis method appropriate weights are assigned commodities to reflect their relative importance in to various the group. Usually the quantities consumed, sold or marketed in the base year or in a given year are used as weights. If wi is the weight attached to ith commodity then the weighted price index is given by ------------ (4) Where = prices for the base period ‘0’. 0  i = price for ith item in the current period ‘t’.  i i t i i 0t (w  p ) (w  p ) P  i 100 t p i i p0
  • 18.
    Test of Adequacyof Index Number Formulae/Methods 4. Circular Test P0 1  P1 2  P2 0  1                   i i  i i t t  i i   i  i i i t  i i  i  i i i t  i i P  Q  (q  p ) (q  p ) (q  p ) (q  p ) (q  p ) (q  p ) 0 0 0 0 0 0 0 0 0t 0t  1. Unit Test 2. Time Reversal Test P0t  Pt 0  1 3. Factor Reversal Test
  • 19.
    Laspeyres’ Method Laspeyres PriceIndex is obtained by replacing ‘wi’ in the index formula by qi 0 the quantity consumed/produced in base year which is given below: Its operational form which is used for compilation; 0 0   i i i  i 100 0 t i i La (q  p ) (q  p ) P0t 0 0 0  1 0 0    i i i i i i i i 0 t L a ( q  p 0 ) p o p t  p ) ( q P
  • 20.
    Laspeyres’ Method (Contd./-) 0  i  i i 0t p0 p t w i 100 PLa Where denotes the share of expenditure/value of output of ith is Price Relative of ith item, which is the ratio of the current period ‘t’ price to base period ‘0’ price. 0 0  i i 0  i i , (q  p ) (q0  p0 ) wi i i i item in the base period ‘0’ and is termed as the weight the ith item and p o p t
  • 21.
    Paasche’s Method Paasche PriceIndex is obtained by replacing ‘wi’ in the index formula by qi t the quantity consumed/produced in current period ‘t’ which is given below: Its operational form which may be used for compilation of price index;  i i t i  i  1 0 0 t  i i P a (q  p 0 ) (q  pt ) P 0 t  i i i t  i  i 100 t i i Pa pt p0 (q  pt ) i (q  pt ) P0t
  • 22.
    Limitations: i. The Laspeyre’sindex shows an upward bias (in relation to the true cost of living index) with the passage of time i.e. ‘overestimation’ while the Paasche’s index shows a downward bias i.e. ‘underestimation’ . ii. While using Paasche’s method, it is necessary to collect the information on quantity as well as prices of current period which is very difficult to implement.
  • 23.
    Dorbish and Bowley’sMethod Dorbish and Bowley have suggested simple arithmetic mean of the two indices - Laspeyre’s and Paasche’s - so as to take into account the influence of both the periods i.e. current as well as base periods. The formula for constructing the index is : 2 0 0 0 0   100      1     i i t i i t i i i i i t  i i  i  0t DB (q  p ) (q  pt )  (q  p ) (q  p ) P
  • 24.
    Fisher’s Method To overcomethe limitations mentioned for earlier methods Irving Fisher constructed his ‘Ideal Index’ as the geometric mean of the Laspeyre’s and Paasche’s Indices, since the geometric mean would lie in between the two and hence would be nearest to the true cost of living index. Thus, Fisher’s Ideal Index would be given by 0 0 0 100                i i t i i t i t i i i i i 0 t i i Fi (q  p ) (q  p ) (q  p ) (q  p ) P 0 t
  • 25.
    Fisher’s Method Fisher’s PriceIndex number is known as ‘Ideal’ due to the following reasons:- 1. It is free from bias, since the upward bias of Laspeyres’ index number is balanced to a great extent by the downward bias of Paasche’s index number 2. It is based on the geometric mean, theoretically which is considered to be the best average for constructing index numbers. 3. It conforms to certain tests (3 out of 4 tests) of consistency. 4. This formula takes into account the influence of the current as well as the base year.
  • 26.
    Marshall-Edgeworth’s Method Marshall-Edgeworth’s Indexis obtained by replacing W in the index formula by the average quantity of base year and current year i.e. (qi0 + qit)/2 , which is given below : 0 0  i  i i 0 i  i  1 0 0 i i t i M E p (q  q t )  q t ) p (q P 0 t
  • 27.
    Lowe’s Method In thismethod appropriate fixed weights, not necessarily of base year or current year, are assigned to various commodities to reflect their relative importance. If is the weight attached to a commodity then the index is given by Where may belong to any period, including one between 0 and t, however, generally it exits before period 0. It means weight reference period ‘a’ differ from price reference periods either ‘0’ or ‘t’. The operational form of Lowe Method, which may be used for compilation of price indices, is as follow;  i a i i  i  1 0 0 a  i i L o ( q  p 0 ) ( q  p t ) P a 0 t i qa a i q  1 0 0    i a i i i i i a 0 i i L o ( q  p 0 ) p o p t ( q  p ) P a 0 t
  • 28.
    Young’s Method Instead ofholding constant the quantities of period ‘a’, a statistical office may calculate CPI as a weighted arithmetic average of the individual price relatives, holding constant the revenue shares of period ‘a’. The resulting index is called a Young method. The Young method is defined as follows: i.e. The Lowe index may be preferred to the Young index because the Young index has some undesirable properties that cause it to fail some tests of adequacy for being a valid index number. 100    i a i i i i i a a i i Yo (q  pa ) p o pt (q  p ) Pa 0 t i i a i a0t p 0 pt  w i 100 PYo 
  • 29.
    General Remarks • Inpractice, the quantities/expenditures used for compilation of price indices, particularly for CPI, usually has to be based on a household consumption expenditure survey, generally conducted in an earlier period than either of the two periods whose prices are compared. The price reference period ‘0’ is usually later than the weight reference period ‘a’ because of the time needed to collect and process the household consumption expenditure data. Consequently, Lowe indices are widely used for CPI purposes. • An overwhelming majority of the index numbers of consumer prices in vogue in different countries of the world are based on the Laspeyre’s formula as it is simple to calculate and requisite data is easily available.
  • 30.
  • 31.
    Chain Index Numbers Inthis method, the comparison are not made with fixed base, the base changes from year to year. For example, for 2018, 2017 will be the base and for 2019, 2018 will be base, and so on. Chain Index for current year = [(Average link relative of current year) x (Chain Index for previous year)]/100 i.e. 100 0 2 p1 LR1 2  p 2 100  L R 1 2  C I P 0 1 , where CI P
  • 32.
    Conversion of ChainIndex to Fixed Base Index • Current Year F.B.I. = (Chain Index for current year) x (Fixed Base Index for previous year)]/100 i.e. 100 02 FBIP CI P12FBIP01 
  • 33.
  • 34.
    Cost of LivingIndex (COLI) • The COLI for such a consumer has been defined concisely as the ratio of the minimum expenditures needed to attain the given level of utility, or welfare, under two different price regimes; 0 0  i i  i t i t i (q  p ) (q  p ) COLI  i 100
  • 35.
    Cost of LivingIndex (COLI) (Contd./-) • In order to qualify as a CPI, a COLI must therefore hold constant not only the consumer’s preferences but all the non-price factors that affect the consumer’s welfare and standard of living. If a CPI is intended to be a COLI it must be conditional on: a particular level of utility or welfare; a particular set of consumer preferences; a particular state of the physical and social environment
  • 36.
    Consumer Price Indexvis-à-vis Cost of Living Index Consumer Price Index Number is designed to measure changes over a period of time in the level of retail prices of selected basket of goods & services on which consumer in general or those of a specific/target population spend their income. On the other hand, the Cost of Living Index of a specific/target population, at any point of time, means the cost of goods & services consumed by an average household/consumer with a given taste and preference which is designed to attain a certain level of satisfaction/level of living/level of utility.
  • 37.
  • 38.
    Consumer Price Index(CPI) is a temporal index where prices of same group of items (goods and services) are compared for a fixed location at different points of time. Purchasing Power Parities (PPP) is a spatial index, where the prices same group of items (goods and services) are compared at a fixed point of time for different locations (countries).
  • 39.
    Major Official Indicesin India Consumer Price Index Wholesale Price Index Index of Industrial Production First two are Price Indices while the third one is a Quantity Index The price index is an indicator of the average price movement over time of a fixed basket of goods and services.
  • 40.
    Selection/Fixing of BasePeriod Weight Reference/Price Reference, Length of Base Period Level of Economic Activities, Calendar/Financial/Agriculture Year Integration with other Economic Indicators
  • 41.
    Classification of Items(Goods & Services)  Classification of items is a central theme in the compilation of the CPI.  Most countries have now, moved to the international standard classification COICOP (Classification of Individual Consumption according to Purpose)  Many countries have adopted COICOP in their economic statistics (for example, in the CPI, National Accounts, International Comparison Programme (ICP), and household budget surveys), with a clear advantage for integration of data‐sets and enhanced analytical capabilities.
  • 42.
    CLASSIFICATION OF INDIVIDUAL CONSUMPTIONACCORDING TO PURPOSE (COICOP)
  • 43.
     The entireset of consumption goods and services are divided into several groups, such as Food & non alcoholic beverages, Clothing & footwear, Health, transport etc. Each group is further divided into classes  Each class can be further sub-divided in to homogeneous sub-classes.
  • 44.
    • 01-12 -Individual consumption expenditure of households • 01 - Food and non-alcoholic beverages • 01.1 - Food • 01.2 - Non-alcoholic beverages • 02 - Alcoholic beverages, tobacco and narcotics • 02.1 - Alcoholic beverages • 02.2 - Tobacco • 02.3 – Narcotics • 03 - Clothing and footwear • 03.1 - Clothing • 03.2 - Footwear
  • 45.
    • 04 -Housing, water, electricity, gas and other fuels • 04.1 - Actual rentals for housing • 04.2 - Imputed rentals for housing • 04.3 - Maintenance and repair of the dwelling • 04.4 - Water supply and miscellaneous services relating to the dwelling • 04.5 - Electricity, gas and other fuels • 05 - Furnishings, household equipment and routine household maintenance • 05.1 - Furniture and furnishings, carpets and other floor coverings • 05.2 - Household textiles • 05.3 - Household appliances • 05.4 - Glassware, tableware and household utensils • 05.5 - Tools and equipment for house and garden
  • 46.
    • 06 -Health • 06.1 - Medical products, appliances and equipment • 06.2 - Outpatient services • 06.3 - Hospital services • 07 - Transport • 07.1 - Purchase of vehicles • 07.2 - Operation of personal transport equipment • 07.3 - Transport services • 08 - Communication • 08.1 - Postal services • 08.2 - Telephone and telefax equipment • 08.3 - Telephone and telefax services
  • 47.
    • 09 -Recreation and culture • 09.1 - Audio-visual, photographic and information processing equipment • 09.2 - Other major durables for recreation and culture • 09.3 - Other recreational items and equipment, gardens & pets • 09.4 - Recreational and cultural services • 09.5 - Newspapers, books and stationery • 09.6 - Package holidays • 10 - Education • 10.1 - Pre-primary and primary education • 10.2 - Secondary education • 10.3 - Post-secondary non-tertiary education • 10.4 - Tertiary education
  • 48.
    • 10.5 -Education not definable by level • 11 - Restaurants and hotels • 11.1 - Catering services • 11.2 - Accommodation services • 12 - Miscellaneous goods and services • 12.1 - Personal care • 12.2 - Prostitution • 12.3 - Personal effects n.e.c. • 12.4 - Social protection • 12.5 - Insurance • 12.6 - Financial services
  • 49.
    THE SIX CONSUMPTIONGROUPS I-FOOD II-PAN, TOBACCO & INTOXICANTS III-CLOTHING AND FOOTWEAR IV-HOUSING V-FUEL AND LIGHT VI-MISCELLANEOUS
  • 50.
    SUB-GROUPS WITHIN THEFOOD GROUP (I) 1 Cereals and products 2 Meat and fish 3 Egg 4 Milk and products 5 Oils and fats 6 Fruits 7 Vegetables 8 Pulses and Products 9 Sugar and confectionery 10 Spices 11 Non-alcoholic beverages 12 Prepared meals etc. (Restaurants)
  • 51.
    SUB-GROUPS WITHIN CLOTHINGAND FOOTWEAR GROUP (III) 1 Clothing 2 Footwear
  • 52.
    SUB-GROUPS WITHIN THEMISCELLANEOUS GROUP (VI) 1 Household goods and services 2 Health 3 Transport and communication 4 Recreation and amusement 5 Education 6 Personal care and effects
  • 53.
    Code Structure ofitems  Nine digits coding structure of items is being followed which contain identification of Groups, Categories, Sub-groups, Sections, Goods or Services etc. From left, 1st digit denotes ‘Group’, 2nd digit denotes ‘Category’, 3rd - 4th digits denote ‘Sub-group’, 5th digit denotes ‘Section’, 6th digit denotes ‘Goods/Services’ (‘1’ for Goods and ‘2’ for Services), 7th-8th digits denote ‘Weighted Item’, 9th digit gives identification of more than one Priced Item.
  • 54.
    Code Structure ofitems Digit Description Code 1st Group 1,2,3,4,5,6 2nd Category 1,2,3,4….. 3rd & 4th Sub-Group 1-12, 1-2, 1-6 5th Section 1,2,3 6th Good/Service 1,2 7th & 8th Weighted item 1,2.3,4…… 9th Price Item 0 or 1,2.3,4…… PDS Item (APL, BPL, AAY) A,B, C
  • 55.
    Code Structure ofitems (Example) 1 F o o d a n d b e ve r a g e s 1. F o o d 1. C e r e a l s a n d p r o d u c t s 1. M a j o r c e r e a l s a n d p r o d u c t s 2. C o a r s e c e r e a l s a n d p r o d u c t s 3. G r i n d i n g c h a r g e s 2. M e a t a n d f i s h 1. M e a t 2. F i s h , p r a w n 2. B e v e r a g e s 11. N o n - a l c o h o l i c b e v e r a g e s 1. Te a a n d c o f f e e b e v e r a g e s 2.M i n e r a l w a t e r a n d o t h e r b e v e r a g e s 3 C l o t h i n g a n d f o o t w e a r 12. C l o t h i n g 1. R e a d y m a d e g a r m e n t s 2. K n i t t e d g a r m e n t s 3. O t h e r c l o t h i n g 4. Ta i l o r i n g a n d l a u n d r y s e r v i c e s 13. F o o t w e a r
  • 56.
    Code Structure ofitems (Example) Code Item 1.1.01.1.1.08.2 wheat(loose)- other than PDS 6.1.01.7.2.01.1 domestic servant Item Code Petrol (Litre) 5.1.01.3.1.03.0 Hair cutting charges(ladies) 6.1.06.3.2.01.2
  • 57.
    Weights  The Weightsrepresent expenditure on specific good(s) or service(s) as percentage/proportion of the total consumption expenditure of all goods and services included in the consumption basket for the target group during the reference period/base period.  In other words, weights are nothing but the relative importance of goods and services consumed by a target group during the reference period.  The whole structure of weights is known as the “Weighting Diagrams”.
  • 58.
    Approach for weightingdiagram There are two broad approaches to building up the weighting diagram. One method of weight distribution is to build it up "from below" i.e., add up the shares of each item within a group, then group shares into major group shares and then add up to arrive at "all commodities" normalised to 100. The other method is to construct the weighting diagram "from above". By this method, weights for the major groups would be imposed from outside and, depending on the sample concerned, weights within them at the group level could also be parametrically imposed.
  • 59.
    SOURCE OF WEIGHTS TheAverage Expenditure of a household/Family is derived from a Consumer Expenditure Survey(CES) /Family Budget Enquiry(FBE) consisted of all items of expenditure reported by the households/families surveyed. For overcoming seasonal variations survey to be conducted for 12 months at each centre with a reference period of one month. These items of expenditure can be broadly divided as;  Consumption Expenditure;  Non-Consumption Expenditure;  Expenditure on Capital Outlays.
  • 60.
    Derivation of WeightingDiagram Item Level Sub-Group Level Group Level State Level All India Level (General)
  • 61.
    Index Basket/Consumption Basket •The following four-fold criteria may be adopted: 1. include all PDS items 2. include all items accounting for 1% or more of total expenditure at sub-group level. 3. include all items accounting for more than specified percentage of total expenditure; G r o u p G r o u p D e s c r i p t i o n S p e c i f i e d percentage out o f total ex p endit ure G r. 1 , G r. 2 G r. 4 , G r. 6 F o o d a n d B e v e r a g e s , P a n , To b a c c o a n d I n t ox i c a n t s , H o u s i n g a n d M i s c e l l a n e o u s e x c l u d i n g ‘ B e d d i n g ’ > 0 . 0 4 % G r. 5 F u e l a n d l i gh t > 0 . 0 3 % G r. 3 C l o t h i n g a n d fo o t w e a r, S e c t i o n ‘ B e d d i n g ’ u n d e r s u b g r o u p ‘ H o u s e h o l d G o o d s a n d S e rv i c e s ’ > 0 . 0 2 %
  • 62.
    Index Basket/Consumption Basket 4.include all items for which more than 75% households have reported consumption Include “Composite Items” as a single item Include certain important items for pricing even though the same are not being retained in the weighting diagram as such. For this purpose expenditure against those items may be clubbed together and put along with the weight of “other” item of the same subgroup provided their combined weight is more than 0.5% at sub group level. Sl. Composite items Items included 1 Other rice products (106) Chira (103), khoi/lawa (104), muri (105) 2 Other wheat products (114) Maida (110), suji/rawa (111), sewai/noodles(112), bread: bakery (113), biscuits, chocolates , etc.(291)
  • 63.
    Imputation of Weights For items not retained in the weighting diagram, the expenditure recorded on such items in the consumer expenditure survey, may be imputed to other items, section, sub-group and group. i.e. Item Level Imputation Section Level Imputation Sub-Group Level Imputation Group Level Imputation
  • 64.
    Derivation of WeightingDiagram at Item Level Cereals and Cereal Products Avg. Exp (in Rs.) % Exp (Weight) 1. Rice (+Chira Muri Khoi Lava) 95.73 27.56 2. Wheat (+Dalia) 92.41 26.61 3. Wheat Atta (+Maida, Suji/Rava, Sewai) 131.88 37.97 4. Bread 15.39 4.43 5. Grinding Charges 11.90 3.43 Sub-Group Total 347.31 100.00 Sub-Group Imputation (+Bajra, Maize,Sago) 0.37 Total Exp. on Cereals and Cereal Products 347.68 19.01 Food Group Total 1829.20 100.00
  • 65.
    Derivation of WeightingDiagram at Sub-Group Level Sl. Food Sub-Group Avg. Exp (in Rs.) % Exp (Weight) 1. Cereals & Cereal Products 347.68 19.01 2. Pulses & Pulse Products 124.87 6.83 3. Oil and Fats 117.87 6.44 4. Meat, Fish and Eggs 77.25 4.22 5. Milk and Milk Products 476.97 26.08 6. Condiments and Spices 99.83 5.46 7. Vegetables and Fruits 266.06 14.54 8. Other Foods 318.67 17.42 Food Group Total 1829.20 100.00 Gr. Imp. (Prepared Meal) 126.37 Total Exp. on Food Group 1955.57 43.75 Total Consumption Exp. 4469.78 100.00
  • 66.
    Derivation of WeightingDiagram at Group Level Sl. No. Group of Items Avg. Exp (in Rs.) % Exp (Weight) I Food Group 1955.57 43.75 II Pan, Supari, Tobacco & Intoxicants 94.48 2.12 III Clothing, Bedding & Footwear 254.01 5.68 IV Housing 926.14 20.72 V Fuel & Light 240.93 5.39 VI Miscellaneous Group 998.65 22.34 Total 4469.78 100.00
  • 67.
    Derivation of WeightingDiagram at All India Level Group Assam (1.77) Bihar (5.14) Maha (13.18) Tamil N. (7.25) ------ All India (100.00) I Food Group 43.75 48.88 48.53 44.08 ------ 45.86 II Pan, Supari, Tobacco & Intoxicants 2.12 1.29 2.64 1.91 ------ 2.38 III Fuel & Light 5.39 6.98 7.42 6.63 ------ 6.84 IV Housing 20.72 13.26 13.73 18.37 ------ 10.07 V Clothing, Bedding & Footwear 5.68 5.16 6.81 4.70 ------ 6.53 VI Miscellaneous Group 22.34 24.43 20.87 24.31 ------ 28.32 Total 100.00 100.00 100.00 100.00 100.00
  • 68.
    Consistency in Weights State/ item 12 3 4 -- j -- 35 36 Total 1 N11 N12 N13 N14 N1j N135 N136 N1. 2 N21 N22 N23 N24 N2j N235 N236 N2. 3 N31 N32 N33 N34 N3j N335 N336 N3. 4 N41 N42 N43 N44 N4j N435 N436 N4. …. …. …. …. …. …. …. …. …. i Ni1 Ni2 Ni3 Ni4 Nij Ni35 Ni36 Ni. …. …. …. …. …. …. …. …. …. 299 N2991 N2992 N2993 N2994 N299j N299935 N29936 N299. 300 N3001 N3002 N3003 N3004 N300j N30035 N30036 N300. Estd. No. of HH N.1 N.2 N.3 N.4 N.j N.35 N.36 N.. Nij : is Estimated No. of Household incurred expenditure on ith item in jth State Note : Sum of Nij over all i is not equal to N.j
  • 69.
    Consistency in Weights State/ item 12 3 4 -- j -- 35 36 Total 1 X11 X12 X13 X14 X1j X135 X136 X1. 2 X21 X22 X23 X24 X2j X235 X236 X2. 3 X31 X32 X33 X34 X3j X335 X336 X3. 4 X41 X42 X43 X44 X4j X435 X436 X4. …. …. …. …. …. …. …. …. …. i Xi1 Xi2 Xi3 Xi4 Xij Xi35 Xi36 Xi. …. …. …. …. …. …. …. …. …. 299 X2991 X2992 X2993 X2994 X299j X299935 X29936 X299. 300 X3001 X3002 X3003 X3004 X300j X30035 X30036 X300. Total X.1 X.2 X.3 X.4 X.j X.35 X.36 X.. Xij : is Average Monthly Household Expenditure reported on ith item in jth
  • 70.
    Consistency in Weights State/ item 12 3 4 -- j -- 35 36 Total 1 Y11 Y12 Y13 Y14 Y1j Y135 Y136 Y1. 2 Y21 Y22 Y23 Y24 Y2j Y235 Y236 Y2. 3 Y31 Y32 Y33 Y34 Y3j Y335 Y336 Y3. 4 Y41 Y42 Y43 Y44 Y4j Y435 Y436 Y4. …. …. …. …. …. …. …. …. …. i Yi1 Yi2 Yi3 Yi4 Yij Yi35 Yi36 Yi. …. …. …. …. …. …. …. …. …. 299 Y2991 Y2992 Y2993 Y2994 Y299j Y299935 Y29936 Y299. 300 Y3001 Y3002 Y3003 Y3004 Y300j Y30035 Y30036 Y300. Total Y.1 Y.2 Y.3 Y.4 Y.j Y.35 Y.36 Y.. Yij = Nij x Xij : Estimated Expenditure of Household on ith item in jth State
  • 71.
    Consistency in Weights State/ item 12 3 4 -- j -- 35 36 Total 1 W11 W12 W13 W14 W1j W135 W136 W1. 2 W21 W22 W23 W24 W2j W235 W236 W2. 3 W31 W32 W33 W34 W3j W335 W336 W3. 4 W41 W42 W43 W44 W4j W435 W436 W4. …. …. …. …. …. …. …. …. …. i Wi1 Wi2 Wi3 Wi4 Wij Wi35 Wi36 Wi. …. …. …. …. …. …. …. …. …. 299 W2991 W2992 W2993 W2994 W299j W299935 W29936 W299. 300 W3001 W3002 W3003 W3004 W300j W30035 W30036 W300. Total W.1 =100 W.2 =100 W.3 =100 W.4 =100 W.J =100 W.35 =100 W.36 =100 W..=100 Note: Wij = Yij/ Y.. :Weight assigned to ith item in jth State
  • 72.
    Consistency in Weights State/ item 12 3 4 -- j -- 35 36 All India Weight to item 1 W11 W12 W13 W14 W1j W135 W136 W1. 2 W21 W22 W23 W24 W2j W235 W236 W2. 3 W31 W32 W33 W34 W3j W335 W336 W3. 4 W41 W42 W43 W44 W4j W435 W436 W4. …. …. …. …. …. …. …. …. …. i Wi1 Wi2 Wi3 Wi4 Wij Wi35 Wi36 Wi. …. …. …. …. …. …. …. …. …. 299 W2991 W2992 W2993 W2994 W299j W299935 W29936 W299. 300 W3001 W3002 W3003 W3004 W300j W30035 W30036 W300. State Weight W.1 W.2 W.3 W.4 W.j W.35 W.36 W..=100 Note: W.j = Y.j/ Y,..is Weight assigned to jth State and Wi.=Yi./Y.. is All India Weight for ith item.
  • 73.
    Weights of CPI2012=100 Series Sl. No. Group CPI (Urban) CPI (Rural) All India (Rural + Urban) 1. Food & Beverages & 36.29 54.18 45.86 2 Pan, Tobacco & Intoxicants 1.36 3.26 2.38 3. Fuel & Light 5.58 7.94 6.84 4. Housing 21.67 -- 10.07 5. Clothing & Footwear 5.57 7.36 6.53 6. Miscellaneous 29.53 27.26 28.32 Total 100.00 100.00 100.00
  • 74.
    Prices • Prices formthe more important component of CPI numbers. • Average Prices are used for each commodity which involves several hundred varieties purchased from several different outlets in the various markets at different point of time within the period considered. • The sample price quotations have to be collected through sampling along three dimensions; • Over the geographical spread of the region • Over Time i.e. periodicity & timing of price collection • Over all varieties of each commodity
  • 75.
    Selection of Townsand Villages for Price Collection • A total of 2295 markets (1181 rural markets, selecting two villages from each district and 1114 urban markets, selecting 310 towns) were selected for price collection. S . N o . T y p e s o f C i t i e s / T o w n s p u r p o s i v e l y s e l e c t e d N o . o f M a r k e t s ( 1 ) ( 2 ) ( 3 ) 1 . H a v i n g p o p u l a t i o n m o r e t h a n 1 c r o r e 2 4 2 . H a v i n g p o p u l a t i o n 2 5 l a k h t o 1 C r o r e 1 2 3 . H a v i n g p o p u l a t i o n 9 l a k h t o 2 5 l a k h 8 4 . R e m a i n i n g S t a t e C a p i t a l s 4
  • 76.
    Classification of Markets TheMarkets in urban area are classified in three category to give better representation all sections of society: Affluent Middle Poor
  • 77.
    Market Survey The MarketSurvey has following four stages: • Sample verification of villages and towns and their markets. • Identification of local markets. • Identification of shops and mapping of items with shops. • Fixing of Structured Product Descriptions (SPDs). It consists of price determining characteristics viz. variety, type, quality, brand, size, packed/loose, unit and quantity etc.
  • 78.
    Market Price Collectionday Sl. No. Centre Name Market Name Price Collection Day 1 Delhi Azadpur Friday 2 Delhi Subzi Mandi Wednesday 3 Delhi Rani Bagh Tuesday 4 Delhi Shahdara Friday 5 Delhi Samaipur Badli Thursday 6 Delhi Mangol Puri Wednesday 7 Delhi Govind Puri/Kalkaji Wednesday 8 Delhi Moti Nagar Tuesday
  • 79.
    Average Price : • Averagemonthly prices of market prices of specified variety of an item prevailing in various articles are averages of the the selected outlets in the selected markets in a given town/village. • For PDS items, the prices for the centres are weighted average prices, the weights being the proportion of the quantity available through Public Distribution System and quantity procured from the Open Market in different villages/towns in relation to base year requirements of an average household.
  • 80.
    Imputation • Weight LevelImputation • Price Level Imputation/Splicing • (Imputed Price) t = (Price)t-1 x Avg. of (Price t / Price t-1) Old Price New Price 1 1 o o2 p p2  New Base Year Price= (Old Base Year Price x p)  1 2  , o   o  p1 p2  p  G.M .of 
  • 81.
    Treatment when itemsare not available • Price is imputed, when not reported due to temporary reasons, using following formula Imputed Price = Last Month’s Price X Average of (Ratio of Current month to last months price, Based on Quotations having prices in both months.)
  • 82.
    Treatment when itemsare not available (Contd./-) • Base Price is modified, when shop or item is substituted using following formula. Modified Base Price = Base Price X Price of new item (shop) during last month / Price of old item (shop) during last month.
  • 83.
    Compilation of CPINumbers Item Level Price Item Weight Item Sub-Group Level Group Level State Level All India Level (General)
  • 84.
    Compilation of CPINumbers Item Index Item Specification Index Shop Prices Shop Weights (if available) Shop Index Specification Prices Specification Weights (if available)
  • 85.
    Compilation of Indexat Sub-Group Level Sl. No. Cereals and Cereal Products % Exp (Weight) Base Price (Po) Current Price (P1) P.R.= (P1/P0) x100 (P.R. ) x Weight 1. Rice 27.56 11.90 20.04 168.40 4641.20 2. Wheat 26.61 7.18 8.76 122.01 3246.57 3. Wheat Atta 37.97 8.11 17.54 216.28 8212.01 4. Bread (400 g) 4.43 7.00 16.00 228.57 1012.57 5. Grinding Charges (40 kg) 3.43 40.42 127.50 315.44 1081.95 Total 100.00 18194.30 Sub Group Weight 19.01 Index = 181.94
  • 86.
    Compilation of Indexat Group Level Sl. No. Food Sub-Group % Exp (Weight) Sub-Group Index Product Moment General Index 1. Cereals & Cereal Products 19.01 182 3459.82 2. Pulses & Pulse Products 6.83 260 1775.80 3. Oil and Fats 6.44 217 1397.48 4. Meat, Fish and Eggs 4.22 310 1308.20 5. Milk and Milk Products 26.08 245 6389.60 6. Condiments and Spices 5.46 218 1190.28 7. Vegetables and Fruits 14.54 221 3213.34 8. Other Foods 17.42 237 4128.54 Food Group Total 100.00 22863.06 228.63
  • 87.
    Compilation of Indexat City/State Level Sl. Group of Items % Exp (Weight) Group Index, Feb. 14 Product Moment General Index I-A Food Group 43.75 229 10018.75 I-B Pan, Supari, Tobacco & Intoxicants 2.12 226 479.12 II Fuel & Light 5.39 229 1234.31 III Housing 20.72 199 4123.28 IV Clothing, Bedding & Footwear 5.68 195 1107.6 V Miscellaneous Group 22.34 195 4356.3 Total 100.00 21319.36 213.19
  • 88.
    Compilation of Indexat All India Level Sl. No. City/State % Exp (Weight) City/State Index Product Moment General Index 1. Delhi 1.99 213 423.87 2. Mumbai 9.57 246 2354.22 3. Kolkata 1.51 229 345.79 4. Chennai 2.31 223 515.13 5. Nagpur 1.06 265 280.90 All India 100.00 23823.14 238.23
  • 89.
  • 90.
    Inflation • Inflation isan increase in the price of a basket of goods and services that is representative of segment of population or the economy as a whole. Inflation is an upward movement in the average level of prices. Its opposite is Deflation a downward movement in the average level of prices. The boundary between inflation and deflation is price stability. • Inflation is a measure of rise in the general price level or equivalently average level of prices of all the goods and services in an economy. The general price level varies inversely with the purchasing power of a unit of money, say one rupee.
  • 91.
    Inflation • Unanticipated andexcessive inflation in the economy leads to redistribution of wealth with no regard to social goals money, consequently, widen the gap in wealth among different sections of society. • A macro-economic policy measure mostly used by the countries across the world, to alleviate the adverse effects of inflation is indexation. Indexation is the periodic adjustment of money-value (e.g. wages, salaries, pension, rent, contract amount/charge/rate, etc.) in relation to changes in a price index that reflects inflation. The underlying principle of indexation is to enable the society to live with inflation in such a way that no individual or group suffers disproportionately.
  • 92.
    Inflation • Inflation canbe measured in different ways. One method is to use the Implicit Price Index (IPI) often called the Gross National Product (GNP) deflator which by definition (for any year) is the ratio of GNP at current prices to the GNP at constant prices. Thus, in computation of IPI all the goods and services produced in the economy, are involved. Another method of measuring the inflation is to use a price index.
  • 93.
    Inflation Rate • Itis a percentage change in price index at specific point of time/period of time over reference time/period. Different Types/Ways of calculating Inflation with price indices: 1. Year over Year/Point to Point Inflation: i.e. Index of April 2022: 170.1 Index of April 2021: 157.8 Inflation = 7.79 % = (170.1 – 157.8)*100/157.8 2. Month over Month Inflation: i.e. Index of April 2022: 170.1 Index of March 2022: 167.7 Inflation = 1.43 %
  • 94.
    Inflation 3. Cumulative (Builtup) Inflation: i.e. Index of January 2021: 156.3 Index of November 2021: 166.7 Inflation = 6.65 % 4. Annual Inflation: i.e. Annual Average Index of 2019 : 143.9 Annual Average Index of 2020 : 153.5 Inflation = 6.62 % 5. For every price index inflation rate may be calculated.
  • 95.
    • Important Remark:Looking at month over month, it is observed that the overall index from March 2022 to April 2022 has moved up by 1.43 percentage points and the overall inflation for the same period increased by 0.84 percentage points (7.79 – 6.95).  Base Effect and Price Effect: Rise in the inflation rate from March 2022 to April 2022 (0.84) may be broken up into two components: (a) Movement of the current month’s index from that of last month i.e. March 2022 to April 2022 (movement of numerator), which may be called as Price Effect; and (b) Base Effect, i.e. rise or fall in the index from March 2021 to April 2021 (movement of denominator).
  • 96.
    Inflation of Mar22 = [(Index of Mar 22/Index of Mar 21)-1] x 100 Inflation of Apr 22 = [(Index of Apr 22/Index of Apr 21)-1] x 100. Difference = {[(Index of Mar 22/Index of Mar 21)-1] - [(Index of Apr 22/Index of Apr 21)-1]} x 100 = [(Mar 22/Mar 21) - (Mar 22/Apr 21)] + [(Mar 22/Apr 21) - (Apr 22/Apr 21)] = Base Effect + Price Effect Base Effect and Price Effect:
  • 97.
    After decomposing therise in inflation rate (0.84), we find that the Price Effect is 1.52 percentage points and the Base Effect is -0.68 percentage points. Thus, change in overall inflation rate from March 2021 to April 2021 is 0.84 percentage points [0.84= (1.52) + (-0.68)] Base Effect and Price Effect:
  • 101.