Would floor area help resolve the ambiguous records? Not as proof by itself, but combined with listing descriptions it may expose obvious classification mistakes.
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Madrid sample: is the 8.1% rise meaningful, and does energy performance affect offers?
- Thread starter grain.brisk
- Start date
Be careful not to replace one assumption with another. Large homes and small commercial spaces can overlap in area. The property description and intended use matter more.
The price range is broad enough that financing could differ substantially across buyers. A higher asking price may lengthen marketing time independently of energy performance.
That suggests comparing energy performance only among properties close in price and condition. With a small sample, though, the groups may become too thin to support an 8.1% headline.
Small samples are still useful for forming questions. They are poor support for a precise market-wide percentage, especially when completed sales are missing.
Yes. I would present 8.1% as an observation from this selection, not as Madrid price growth. The next useful addition is recent completed sales matching the same property type and boundaries.
cooksAndRadar
Real estate agent
Completed sales may also differ in condition details that are not visible later. Matching on location and bedrooms alone would still leave a lot unexplained.
True, but even imperfect completed evidence improves on asking prices alone. I’d note unknown condition rather than pretending every comparison is exact.
What is the decision behind the analysis: setting an asking price, deciding whether to improve a property, or judging whether to buy? The required evidence changes with the decision.
And there is a third outcome: avoiding withdrawal. A property can receive no acceptable offer and disappear, which an analysis of active and completed listings may miss.
Withdrawals should be dated relative to price cuts. A late reduction followed quickly by withdrawal says something different from a listing removed without any reduction.
Not necessarily. Removal could reflect changed seller plans rather than failed demand. Withdrawal is informative, but motivation remains unknown.
selma_checks
Landlord
Could repeated photographs or descriptions identify relistings? Otherwise one property might appear as several observations and distort both volume and marketing time.
Potentially, but matching needs care. Similar units in the same development can look almost identical. Address-level information, where available, would be stronger than images alone.
I’d assign uncertain matches rather than force them together. Report the result both with and without those records; if the conclusion changes, the sample is not stable.
avery.drew
Seller
That sensitivity test is more valuable than another decimal place. The 8.1% may survive, shrink or reverse depending on how ambiguous entries are handled.
round_horizon
Property manager
Energy may interact with condition rather than act independently. Buyers could tolerate weak performance in a fully renovated home, or reject it because they do not want to undo finished interiors.
Good point. “Renovated” is also too broad. Cosmetic presentation can be excellent while the expensive underlying work remains unresolved.
Ask what buyers can see before viewing. If energy information is buried, it cannot explain early filtering as confidently as price, photographs or location.