Calculation of the estimate for a price index
CalcInd.RdCalculation of a price index
Arguments
- data
The dataset
- baseVar
The variable name for the base goods price.
- pVar
The variable name for the goods price.
- type
The type of index to calculate. Choose from: 'carli', 'dutot', 'jevons'.
- groupVar
The variable used for grouping observations - sometimes called the elementary group
- consumVar
The variable used for grouping elementary groups. This may be the publishing level.
- wVar
The variable used to weight the elementary groups up to the consumer publishing level.
Value
The estimates for the index are returned as a vector of length equal to the number of groups (in groupVar or consumVar if specified).
Examples
{
data(priceData)
# Calculate index for consumer groups
CalcInd(data = priceData, baseVar = "b1", pVar = "p1", groupVar = "varenr", wVar = "weight",
consumVar = "coicop", type = "dutot")
CalcInd(data = priceData, baseVar = "b1", pVar = "p1", groupVar = "varenr", wVar = "weight",
consumVar = "coicop", type = "carli")
CalcInd(data = priceData, baseVar = "b1", pVar = "p1", groupVar = "varenr", wVar = "weight",
consumVar = "coicop", type = "jevons")
# Calculate index for elemenatry groups (weighted)
CalcInd(data = priceData, baseVar = "b1", pVar = "p1", groupVar = "varenr", wVar = "weight",
type = "dutot")
}
#> Warning: Elementary group weights did not add to one and have been scaled.
#> Warning: Elementary group weights did not add to one and have been scaled.
#> Warning: Elementary group weights did not add to one and have been scaled.
#> Warning: No consumer group variable was specified so an index was calculated for each elementary group.
#> Warning: Elementary group weights did not add to one and have been scaled.
#> 1 2 3 4 5 6 7 8
#> 1.0491782 0.9916579 1.0919232 0.9971484 0.9776819 1.0122949 1.0082979 1.0410994
#> 9 10 11 12 13 14 15 16
#> 1.0657426 1.0458119 1.0126660 1.0087542 1.0119236 1.0202207 1.0154042 1.0204284
#> 17 18 19 20 21 22 23 24
#> 1.0404285 1.0635197 1.0343509 0.9839625 1.0591687 1.0296146 1.0179432 1.0114293
#> 25 26 27 28 29 30 31 32
#> 0.9980075 1.0325678 1.0184376 0.9917827 1.0438475 1.0516548 1.1019312 1.0255544
#> 33 34 35 36 37 38 39 40
#> 1.0059274 1.0195331 1.0264037 1.0193352 0.9949706 1.0335269 1.0005686 1.0757601
#> 41 42 43 44 45 46 47 48
#> 1.0841688 0.9949837 0.9997077 1.0276529 1.0164630 1.0287131 1.0475356 1.0274997
#> 49 50 51 52 53 54 55 56
#> 1.0186174 1.0312737 1.0722388 1.0139797 1.0168422 1.0754973 1.0071958 1.0202791
#> 57 58 59 60 61 62 63 64
#> 1.0026775 1.0058940 1.0030017 0.9997709 0.9799183 1.0478942 1.0110590 1.0115428
#> 65 66 67 68 69 70 71 72
#> 1.0739428 0.9794139 1.0212139 0.9870189 1.0317518 0.9650201 1.0614352 1.0221492
#> 73 74 75 76 77 78 79 80
#> 1.0274920 1.0415765 1.0500053 1.0021974 1.0667718 1.0605561 1.0751474 1.0336029
#> 81 82 83 84 85 86 87 88
#> 1.0863649 1.0437152 1.0501207 1.0057534 1.0676503 1.0302636 1.0008981 1.0675389
#> 89 90 91 92 93 94 95 96
#> 0.9959739 1.0268511 1.0201997 0.9777202 1.0279413 1.0009408 1.0264877 1.0103826
#> 97 98 99 100 101 102 103 104
#> 1.0170851 1.0384248 1.0000014 1.0177277 1.0345633 1.0300957 1.0476841 1.0164684
#> 105 106 107 108 109 110 111 112
#> 1.0127264 1.0475748 1.0351660 1.0249665 1.0114083 1.0502433 1.0598351 1.0119547
#> 113 114 115 116 117 118 119 120
#> 1.0299265 1.0200079 1.0427289 0.9906708 1.0518309 1.0123277 1.0134508 1.0079136
#> 121 122 123 124 125 126 127 128
#> 1.0058585 1.0632656 1.0373929 0.9685996 1.0243814 1.0172798 1.0434409 0.9756649
#> 129 130 131 132 133 134 135 136
#> 1.0363835 1.0958327 1.0206910 0.9865309 0.9908110 1.0040474 0.9931275 1.0179996
#> 137 138 139 140 141 142 143 144
#> 1.0079795 1.0078089 1.0476088 1.0340241 1.0201028 1.0562831 1.0297616 1.0270815
#> 145 146 147 148 149 150 151 152
#> 1.0314082 1.0641822 1.0495536 1.0333891 1.0183344 1.0253208 1.0093552 1.0100153
#> 153 154 155 156 157 158 159 160
#> 1.0308649 1.0048242 1.0614685 1.0775324 0.9815208 1.0292993 0.9982024 1.0133232
#> 161 162 163 164 165 166 167 168
#> 1.0129391 1.0301208 1.0049818 1.0209796 1.0605804 0.9603525 0.9858467 1.0418124
#> 169 170 171 172 173 174 175 176
#> 1.0218097 1.0433452 1.0616003 1.0282483 1.0462104 0.9881764 1.0256537 1.0233769
#> 177 178 179 180 181 182 183 184
#> 1.0605085 1.0214452 1.0091499 1.0175753 1.0171524 0.9930452 1.0530682 1.0687364
#> 185 186 187 188 189 190 191 192
#> 1.0602363 1.0094292 1.0511469 1.0330998 1.0204593 1.0404494 1.0349803 0.9897180
#> 193 194 195 196 197 198 199 200
#> 1.0027196 1.0410686 1.0322500 1.0577304 1.0199610 1.0255261 0.9869663 1.0227391