Can anyone explain why is the lawsuit against RealPage and not the landlords specifically? They are the ones hypothetically doing the price fixing.
Considering the following scenarios:
* A landlord/tenant publishes their rent online: not price fixing.
* A group of landlords/tenants publish their rents online: not price fixing.
* A group of landlords share their rents privately: maybe price fixing?
* A group of landlords share their rents to a 3rd party, which publicly shares aggregated data: doesn't look like price fixing to me.
* A group of landlords share their rents to a 3rd party, which privately shares aggregated data: maybe price fixing?
* A group of landlords share their rents to a 3rd party, which uses ML/AI to predict occupancy rates at a given price; and uses it to maximize expected profits to each individual: doesn't look like price fixing to me, maybe it is if we consider that it is using non-public data.
* A group of landlords share their rents to a 3rd party, which uses reinforcement learning to dictate the best price to set, considering that the same policy will be shared with other landlords: price fixing.
Considering the difference between the two last scenarios, is the lawmaker going to evaluate how sophisticated is the algorithm behind the scenes?
The AG isn’t a lawmaker. p52 of the AG’s contract says False Claim Act, Consumer Protection Procedures Act, Restraints of Trade, and Trusts in restraint of trade illegally.
I highly doubt the algorithm is any more complicated than a couple of rules. The YieldStar guy already got busted by the DoJ for price fixing when he was at Alaska Airlines in the early 90s.
Can anyone explain why is the lawsuit against RealPage and not the landlords specifically? They are the ones hypothetically doing the price fixing.
Considering the following scenarios: * A landlord/tenant publishes their rent online: not price fixing. * A group of landlords/tenants publish their rents online: not price fixing. * A group of landlords share their rents privately: maybe price fixing? * A group of landlords share their rents to a 3rd party, which publicly shares aggregated data: doesn't look like price fixing to me. * A group of landlords share their rents to a 3rd party, which privately shares aggregated data: maybe price fixing? * A group of landlords share their rents to a 3rd party, which uses ML/AI to predict occupancy rates at a given price; and uses it to maximize expected profits to each individual: doesn't look like price fixing to me, maybe it is if we consider that it is using non-public data. * A group of landlords share their rents to a 3rd party, which uses reinforcement learning to dictate the best price to set, considering that the same policy will be shared with other landlords: price fixing.
Considering the difference between the two last scenarios, is the lawmaker going to evaluate how sophisticated is the algorithm behind the scenes?