INDEX NUMBER
INDEX NUMBER


SUBMITTED TO:-      SUBMITTED BY:-
Dr. RENUKA SHARMA   ABHISHEK BANSAL
                    AMAN KASHYAP
                    TARUN KUMAR
                    GOURAV CHABBRA
INTRODUCTION

•An index number measure the relative
change in price, quantity, value, or some
other item of interest from one time period to
another.

•A simple index number measure the relative
change in one or more than one variable
WHAT IS AN INDEX NUMBER

•An index number measure 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.”
CHARACTERISTICS OF INDEX NUMBERS

• Index numbers are specialized averages.
• Index numbers measure the change in the
  level of a phenomenon.
• Index number measure the effect of changes
  over a period of time.
USES OF INDEX NUMBERS

• To framing suitable policies.
• They reveal trends and tendencies.
• Index numbers are very useful in deflating.
PROBLEMS RELATED TO INDEX
              NUMBERS
•   Choice of the base period.
•   Choice of an average.
•   Choice of index.
•   Selection of commodities.
•   Data collection.
CLASSIFICATION OF INDEX NUMBER


         PRICE   QUANTITY
         INDEX    INDEX




         VALUE   COMPOSITE
         INDEX     INDEX
METHODS OF CONSTRUCTING INDEX
          NUMBERS

                            Simple Aggregative
               UNWEIGHTED
                            Simple Average of
                              Price Relative
INDEX NUMBER
                                Weighted
                               Aggregated
                WEIGHTED
                            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
year.
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)    PRICE (Rs)
                            2007          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)        PRICE (Rs)
                                           2007              2008

      SUGAR              QUINTAL           2200              3200
       MILK              QUINTAL            18                20
        OIL               LITRE             68                71
      WHEAT              QUINTAL            900              1000
     CLOTHING            METER              50                60
      TOTAL
                                         p0=3236           p1=4351
Index number for 2008-


      p01        1 × 100 = 4351 × 100 = 134.45
                0          3236
It means the prize in 2008 were34.45% higher than the previous year.
SIMPLE AVERAGE OF RELATIVE 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.



              Where n is number of item



When geometric mean is used
EXAMPLE
From the data given below construct the index number for the
     year 2008 taking 2007 as by using arithmetic mean


COMMODITIES             PRICE (Rs)           PRICE (Rs)
                          2007                 2008


     P                      6                   10
     Q                      2                    2
     R                      4                    6
      S                    10                   12
     T                      8                   12
SOLUTION
              Index number using arithmetic mean
COMMODITIES        PRICE (Rs)     PRICE (Rs)        PRICE RELATIVE
                     2007           2008
                                                           pn      ×100
                      P0             Pn                    P0
     P                 6             10                   166.7
    Q                  2              2                   16.67
     R                 4              6                   150.0
     S                10             12                   120.0
     T                 8             12                   150.0
   TOTAL                                                  603.37



                                          603.37=120.63
                                             5
WEIGHTED INDEX NUMBERS
• These are those index number in which rational weights are assigned to
  various chains in an explicit fashion .
• Weighted aggregative index numbers.
    These index numbers are the simple aggrigative type with the
  fundamental diffrence that weights are assigned to the various items
  included in the index.
 Laspeyres method
 Paasche method
 Fisher’s method
 Marshall-edgeworth 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


PAASCHE METHOD
 This method was devised by a German statistician Paasche in 1874.
 The weights of current year are used as a base year in constructing
 the Paasche’s Index number.


                                       × 100
FISHER’S METHOD
 Fisher’s method Index number is Geometric mean of the laspeyre’s
 and paasche’s Index numbers.

                                      × 100



MARSHALL-EDGEWORTH METHOD
 In the 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.

                                       × 100
Kelly’s method


Kelly thinks that a ratio of aggregates with selected weights gives

the base index number

                              q
                              q


q refers to the quantities of the 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 - Laspeyres method , Paasche method , Fisher’s method



ITEMS        PRICE         PRODUTION    PRICE        PRODUTION

BEEF         15            500          20           600



MUTTON       18            590          23           640

CHICKEN      22            450          24           500
SOLUTION:-
ITEMS    PRICE   PRODU   PRICE   PRODU   p1q0    p0q0    p1q1    p0q1
                 TION            TION
         p0              p1
                 q0              q1
BEEF     15      500     20      600     10000   7500    12000   9000


MUTTO    18      590     23      640     13570   10620   14720   11520
N
CHICKE   22      450     24      500     10800   9900    12000   11000
N
TOTAL                                    34370   28020   38720   31520
Laspeyres method

      × 100    34370 × 100 = 122.66
               28020
Paasche method
         × 100 38720 × 100 = 122.84
               31520
Fisher’s method

        × 100   = 122.69
TEST FOR PERFECTION
1. Time reversal test:- P01 * P10 = 1
2. Factor reversal test:-
   P10*Q01= ∑p1q1
            ∑p0q0
1. Circular test:- P01*P12*P20=1
CHAIN BASE INDEX NUMBERS
• Chain base index numbers are those numbers
  in which the year immediately preceding the
  one is taken as base year.
• Link Relatives= Current Year’s Price * 100
                 Previous Year Price

• Chain Base Index=
Link Relative Of Current Year * Chain Index Of Prev. Year
                          100
Conversion Of Chain Index To
           Fixed Base Index
• Current Year FBI=
     Current Year’s CBI * Previous Year’s FBI
                      100
BASE SHIFTING
• One of the frequent operation necessary in
  the use of index number in changing the base
  of an index. It is needed in 2 reasons:-
1. When present base year has become rather
   old.
2. When some series are to be compared with
   other whose base years are different.
SPLICING
• Splicing is a process by which new series of
  indices is tied with old index series or old
  series of indices is tied with new index series.
DEFLATING
• It refers to the correction for price changes in
  money wages or money income series.
• REAL WAGE= Money Wage * 100
                 Price Index
• Real Wage Index No.= Index Of Money Wage
                              Price Index
CONSUMER PRICE INDEX
• It is those numbers which measure the effects
  on living conditions of different classes of
  consumer for any change in the level of prices
  over a period of time.
METHODS FOR CONSTRUCTING
      CONSUMER PRICE INDEX
1. Aggregate Expenditure Method
2. Family Budget Method
Aggregate expenditure method
• In this wages are assign to items on the base
  of base year quantities.
• Consumer Price Index (P01) =
                       ∑p1q0 * 100
                       ∑p0q0
Family budget method
• In this method weights are assign on the basis
  of percentage expenditure on item.
• Consumer price index =
                     ∑ PW
                      ∑W
*W = p0q0
THANK YOU

Index number

  • 1.
  • 2.
    INDEX NUMBER SUBMITTED TO:- SUBMITTED BY:- Dr. RENUKA SHARMA ABHISHEK BANSAL AMAN KASHYAP TARUN KUMAR GOURAV CHABBRA
  • 3.
    INTRODUCTION •An index numbermeasure the relative change in price, quantity, value, or some other item of interest from one time period to another. •A simple index number measure the relative change in one or more than one variable
  • 4.
    WHAT IS ANINDEX NUMBER •An index number measure how much a variable changes over time. •We calculate the index number by finding the ratio of the current value to a base value.
  • 5.
    DEFINITION “Index numbers arequantitative measures of growth of prices, production, inventory and other quantities of economic interest.”
  • 6.
    CHARACTERISTICS OF INDEXNUMBERS • Index numbers are specialized averages. • Index numbers measure the change in the level of a phenomenon. • Index number measure the effect of changes over a period of time.
  • 7.
    USES OF INDEXNUMBERS • To framing suitable policies. • They reveal trends and tendencies. • Index numbers are very useful in deflating.
  • 8.
    PROBLEMS RELATED TOINDEX NUMBERS • Choice of the base period. • Choice of an average. • Choice of index. • Selection of commodities. • Data collection.
  • 9.
    CLASSIFICATION OF INDEXNUMBER PRICE QUANTITY INDEX INDEX VALUE COMPOSITE INDEX INDEX
  • 10.
    METHODS OF CONSTRUCTINGINDEX NUMBERS Simple Aggregative UNWEIGHTED Simple Average of Price Relative INDEX NUMBER Weighted Aggregated WEIGHTED Weighted Average of Price Relatives
  • 11.
    SIMPLE AGGREGATIVE METHOD ITconsists in expressing the aggregate price of all commodities in the current year as a percentage of the year.
  • 12.
    EXAMPLE From the datagiven below construct the index number for the year 2007 on the base year 2008 in Rajasthan state. COMMODITIES UNITS PRICE (Rs) PRICE (Rs) 2007 2008 SUGAR QUINTAL 2200 3200 MILK QUINTAL 18 20 OIL LITRE 68 71 WHEAT QUINTAL 900 1000 CLOTHING METER 50 60
  • 13.
    SOLUTION COMMODITIES UNITS PRICE (Rs) PRICE (Rs) 2007 2008 SUGAR QUINTAL 2200 3200 MILK QUINTAL 18 20 OIL LITRE 68 71 WHEAT QUINTAL 900 1000 CLOTHING METER 50 60 TOTAL p0=3236 p1=4351 Index number for 2008- p01 1 × 100 = 4351 × 100 = 134.45 0 3236 It means the prize in 2008 were34.45% higher than the previous year.
  • 14.
    SIMPLE AVERAGE OFRELATIVE 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. Where n is number of item When geometric mean is used
  • 15.
    EXAMPLE From the datagiven below construct the index number for the year 2008 taking 2007 as by using arithmetic mean COMMODITIES PRICE (Rs) PRICE (Rs) 2007 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 (Rs) PRICE (Rs) PRICE RELATIVE 2007 2008 pn ×100 P0 Pn P0 P 6 10 166.7 Q 2 2 16.67 R 4 6 150.0 S 10 12 120.0 T 8 12 150.0 TOTAL 603.37 603.37=120.63 5
  • 17.
    WEIGHTED INDEX NUMBERS •These are those index number in which rational weights are assigned to various chains in an explicit fashion . • Weighted aggregative index numbers. These index numbers are the simple aggrigative type with the fundamental diffrence that weights are assigned to the various items included in the index.  Laspeyres method  Paasche method  Fisher’s method  Marshall-edgeworth method  Kelly’s method
  • 18.
    LASPEYRES METHOD Thismethod was devised by Laspeyres in 1871. In this method the weights are determined by quantities in the base. × 100 PAASCHE METHOD This method was devised by a German statistician Paasche in 1874. The weights of current year are used as a base year in constructing the Paasche’s Index number. × 100
  • 19.
    FISHER’S METHOD Fisher’smethod Index number is Geometric mean of the laspeyre’s and paasche’s Index numbers. × 100 MARSHALL-EDGEWORTH METHOD In the 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. × 100
  • 20.
    Kelly’s method Kelly thinksthat a ratio of aggregates with selected weights gives the base index number q q q refers to the quantities of the which is selected as the base. It may be any year, either base, year or current year
  • 21.
    EXAMPLE Given below arethe price quantity data , with price quoted in Rs. Per kg and production in qtls. Find - Laspeyres method , Paasche method , Fisher’s method ITEMS PRICE PRODUTION PRICE PRODUTION BEEF 15 500 20 600 MUTTON 18 590 23 640 CHICKEN 22 450 24 500
  • 22.
    SOLUTION:- ITEMS PRICE PRODU PRICE PRODU p1q0 p0q0 p1q1 p0q1 TION TION p0 p1 q0 q1 BEEF 15 500 20 600 10000 7500 12000 9000 MUTTO 18 590 23 640 13570 10620 14720 11520 N CHICKE 22 450 24 500 10800 9900 12000 11000 N TOTAL 34370 28020 38720 31520
  • 23.
    Laspeyres method × 100 34370 × 100 = 122.66 28020 Paasche method × 100 38720 × 100 = 122.84 31520 Fisher’s method × 100 = 122.69
  • 24.
    TEST FOR PERFECTION 1.Time reversal test:- P01 * P10 = 1 2. Factor reversal test:- P10*Q01= ∑p1q1 ∑p0q0 1. Circular test:- P01*P12*P20=1
  • 25.
    CHAIN BASE INDEXNUMBERS • Chain base index numbers are those numbers in which the year immediately preceding the one is taken as base year.
  • 26.
    • Link Relatives=Current Year’s Price * 100 Previous Year Price • Chain Base Index= Link Relative Of Current Year * Chain Index Of Prev. Year 100
  • 27.
    Conversion Of ChainIndex To Fixed Base Index • Current Year FBI= Current Year’s CBI * Previous Year’s FBI 100
  • 28.
    BASE SHIFTING • Oneof the frequent operation necessary in the use of index number in changing the base of an index. It is needed in 2 reasons:- 1. When present base year has become rather old. 2. When some series are to be compared with other whose base years are different.
  • 29.
    SPLICING • Splicing isa process by which new series of indices is tied with old index series or old series of indices is tied with new index series.
  • 30.
    DEFLATING • It refersto the correction for price changes in money wages or money income series. • REAL WAGE= Money Wage * 100 Price Index • Real Wage Index No.= Index Of Money Wage Price Index
  • 31.
    CONSUMER PRICE INDEX •It is those numbers which measure the effects on living conditions of different classes of consumer for any change in the level of prices over a period of time.
  • 32.
    METHODS FOR CONSTRUCTING CONSUMER PRICE INDEX 1. Aggregate Expenditure Method 2. Family Budget Method
  • 33.
    Aggregate expenditure method •In this wages are assign to items on the base of base year quantities. • Consumer Price Index (P01) = ∑p1q0 * 100 ∑p0q0
  • 34.
    Family budget method •In this method weights are assign on the basis of percentage expenditure on item. • Consumer price index = ∑ PW ∑W *W = p0q0
  • 35.