If anyone wants, I have a way to correct the election for nonresponse bias by comparing early voters to late ones.
An Election Selection Correction, if you will.
New version forthcoming but not by Monday https://t.co/2Q30gZSfKP
@besttrousers@surlygopher Did she switch from the left side of the street to the right following the suggestion of a man who was standing on the shore of the street?
@lakens Imagine being a Cardiologist who does heart transplants all day and then you hear that the Oncology Department is leeching people.
That's what it feels like to see this in an academic paper.
Southern Economic Association Meeting are just over three weeks away and it is time to give you a heads up about all the cool CSWEP events happening at the conference. Mark your calendars and join us!
@cblatts Inference is fine, same as doing doing 2 studies, lookings the first to guide hypotheses for the 2nd.
I personally would prefer the index be chosen based on something other than ATEs (e.g. ex post construct validity checks), but that's not an econometric concern.
@MatthewGNagler If you pool 2 different treatment arms x1 and x2 with t stats of a and b, respectively, the t-stat on the pooled treatment z=x1+x2 will be approximately sqrt(a^2+b^2).
@trevorsgallen Feasibility aside, this process doesn't seem like demand estimation. It feels too reduced form, but what do I know?
Practically, IDK assumptions under which the predictive model gives good guesses for B for the pricing model.
I'd be interested to learn what these are ๐.
What do you think Kroger's facial recognition technology for price discrimination has under the hood?
1. Actual demand estimation
2. Big dumb predictive model
Families are struggling to put food on the table. I sent a letter to @Kroger about their decision to roll out surge pricing using facial recognition technology. Facial recognition technology is often discriminatory and shouldn't be used in grocery stores to price gouge residents.
@trevorsgallen I think no.
I can set prices for customer i as
Pi = Xi*B
for high-dimensional X, randomly trying *arbitrarily many* values of B.
I can estimate the reduced form effect of the policy defined by some value of B.
This is good enough for profit maximization if I try *all* B.