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Pariell t1_j8p0eox wrote

Regarding point 2.

https://direct.mit.edu/rest/article/doi/10.1162/rest_a_01055/100977/Local-Effects-of-Large-New-Apartment-Buildings-in

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SuckMyAssmar t1_j8p11k8 wrote

I can only see the abstract. Can you link to the pdf?

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Pariell t1_j8p21jr wrote

Local Effects of Large New Apartment Buildings in Low-Income ... - Gwern.net https://gwern.net/docs/economics/2021-asquith.pdf

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SuckMyAssmar t1_j8p35m8 wrote

Thank you. I have started reading through this but want to confirm.. is this a pre-print? In between paragraphs in the data section, it literally says “[Figure 2 here].”

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Pariell t1_j8p3nw8 wrote

Scroll to the bottom for the figures. I don't know why they chose to format it that way either.

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SuckMyAssmar t1_j8p5yq1 wrote

It looks like the results were from a simulation based on real-world data. This is certainly an interesting paper that I will have to spend more time on, but my initial critique is that out-migration was not stratified. I think the aggregate data would be different compared to that from stratifying by race or income. Additionally, know that the sources from the data broker include USPS changes of addresses, differences in magazine subscriptions, and whatnot but I don’t think data on couch-surfing-but-truly-homeless-individuals, new immigrants such as those from Afghanistan, individuals that are undocumented, and data on individuals that do not update their address with USPS when they move is adequately captured. This data is, likely, difficult to collect but I feel it could be a valuable contribution to this data(set).

I am also concered about the low power of the study. While the authors confirmed that the sample was actually representative, I wonder about the external validity.

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