While building my tool to gather data from the RTB rent register, I've had long discussions with ChatGPT about how to code and optimize it.
Now I asked for its thoughts on the rent register itself. The answer is pretty interesting. Even ChatGPT knows it's not a register of market rents.
The final recommendation is fascinating. It suggests I could compute statistically defensible rent ranges, identify regulatory distortion in the data, and present this in a legally defensible way.
Quote below and full response attached.
Now I asked for its thoughts on the rent register itself. The answer is pretty interesting. Even ChatGPT knows it's not a register of market rents.
The final recommendation is fascinating. It suggests I could compute statistically defensible rent ranges, identify regulatory distortion in the data, and present this in a legally defensible way.
Quote below and full response attached.
What the RTB Register Actually Is (and Isn’t)
It is:
It is NOT:
- A registration database
- Based on actual agreed rents
- Legally required filings
- Time-stamped through RT numbers
- Large and nationwide
- An asking-rent database
- A full census of all rental units
- A real-time system
- Cleanly deduplicated
- A controlled statistical sample
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