Mail Order Demands for Style Goods Theory And Data Analysis

Cover Mail Order Demands for Style Goods Theory And Data Analysis
Mail Order Demands for Style Goods Theory And Data Analysis
Warren Howard Hausman
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316 . 253 . 253 95 B4 . 167 . 317 . 250 . 267 60 C5 . 146 . 214 . 301 . 340 103 C6 . 140 . 211 . 316 . 333 57 D . 125 . 299 . 304 . 272 184 E . 085 . 245 . 340 . 330 200 F7 . 213 . 337 . 247 . 202 89 F8 . 067 . 500 . 333 . 100 30 Mean . 1378 . 2937 . 2855 . 2832 Std. Dev.
. 0406 . 0812 . 0358 . 0816 28 The mean size breakdown and its standard deviation are also contained in the table; the size distribution does tend to remain relatively stable among items, with item F, color 8, being the most e
...xtreme outlier. As between colors, indicated by numbers in the first column, there is no_ ten- dency for demands to be evenly divided between colors. Thus it seems doubtful that much is gained from aggregating item-color demands into item demands; rather, it is likely that a need for action is obscured since low demands for one color may mask high demands for another. If inventory and demand by item are assessed they may appear to be in balance when the inventory by color is seriously out of balance.

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