Cross Validated Asked by Jamzy on February 23, 2021
I have a dataset of a series of leases.
Variables we have: precinct, date (in quarters), lettable area, price as well as a few others.
These assets are not homogenous, although are comparable.
In some periods, the data is quite dense, where we have multiple entries for each precinct-date combination, at other times, we can go a couple of quarters without an entry.
I am trying to derive a market price based on these leases. Fue to the sparseness of data, looking at period-on-period changes like a typical index won’t work.
What would be a good approach to deriving that market price?
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