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The Consumer Price Index Housing Sample
An address based sample
Robert PooleOffice of Prices and Living Conditions
Bureau of Labor Statistics
CPI Housing Sample Overview
Used to estimate inflation for Rent and Owners’ Equivalent Rent – the value of the flow of services one receives from an owned home
One sample of renters is used to move both rent and OER
Some Select Sample Details
Cluster sampling is used Sample segments (neighborhoods)
based on total housing expenditure Sample households within each
segment with equal probability
Ooooh! More Details Renters are implicitly matched to
owners geographically by neighborhood
Assumption that the Rent change in a neighborhood is the same as the unobservable Owners’ Equivalent Rent change
No assumption is made about price levels
Sampling Details: Minutiae
Just kidding!
1998 Revision Sample
Our segments were census block based
Used a manual address listing process for each segment – very costly
Renters difficult to find in high owner density neighborhoods
“Current” Sample
Our segments are now census block group based
Expect 4.5 times the number of addresses per segment
Generalissimo Francisco Franco is still dead – renters in high owner density areas still hard to find
Cost
Hmmm. How can we make the listing process manageable and cheaper?
ADDRESS LISTS!!!! But wait …
Address List Issues
Coverage – are all the households in an area on the lists?
Accuracy – are the addresses geocoded accurately?
Coverage
Multi-unit structures can have but one delivery point in the Delivery Sequence File
DSF augmented with marketing lists
Tested for bias in price change associated with “missing” addresses – none found
Geocoding Accuracy
Compared list geocoding with census geocoding
Rob’s bout of swine flu prevented him from digging up numbers about the accuracy in time for this presentation. It was good. Trust him.
Accuracy on par with manual listing
What about them pesky, hard to find renters? Hey! We’re using marketing lists!
Can they help? Binary renter/owner coding not very
helpful Sliding scale renter/owner coding
was very helpful in identifying “certainty” owners – over 98% helpful
Oh yeah! (knock on wood)
Address List Advantages
Cheaper than listing Owner/Renter information allowed
us to effectively double our sample size
Phone Numbers – Too early to tell Names – A possibility for the future
Questions?