Price changes are meaningless if you don't ALSO understand what percentage of the family income gets spent on the different items in the CPI basket.
You can get a lot of that from the
Consumer Expenditure Survey
A 10% increase in the price of energy effects a family in the bottom quintile of income FAR DIFFERENTLY than it does families in the 2nd, third, forth and fifth quintiles. And as their basket of good is so wildly different, so too wil the CPI computed for those different quintiles be wildly different
Exactly...which is why it would be expensive and difficult to do.
And no additional data would be necessary to CAPTURE the different CPI outcomes if the models reflect the very different BASKETS OF GOODS that each quintile typically purchases.
You would need additional data to get the weights and expenditures for a price index. While the CE gives expenditures, that's not directly translatable into actual indexes.
Seriously, kids, what I am proposing is neither expensive, confusing or remotely beyond the ability of the BLS to compute.
It is expensive and would require a lot more work.
Example: Read the following article on
The experimental consumer price index for elderly Americans (CPI-E): 1982–2007] Summing up the methodological issues:
- Because the sample size of elderly is small, the weights have higher sampling error.
- The same outlets are used as for the CPI-U which does not accurately reflect buying patterns of the elderly.
- The items selected are proportional to probability for the overall population and don't accurately reflect buying patterns of the elderly.
- Senior discount prices etc are only used in proportion to the entire population which doesn't reflect elderly prices.
For any sub-sample of population you'll run into the same problems of higher sampling error, poor reflection of outlets used, and poor reflection of buying patterns.
To fix any of those problems, you'd have to expand the Consumer Expenditure Survey, expand the Telephone Point of Purchase Survey, expand the CPI collection, AND hire more people for all three surveys to handle the larger amount of data.
You keep saying BLS already has the data, but they don't.