Zi Yang Kang
@ziyangkang.bsky.social
Economist + assistant professor at the University of Toronto
16/ The analysis is tricky because the outside option of each consumer depends on his demand type.
We overcome this by guessing Lagrangian multipliers and verifying that they are optimal.
It took us many guesses and sleepless nights, but now we can write them out:
We overcome this by guessing Lagrangian multipliers and verifying that they are optimal.
It took us many guesses and sleepless nights, but now we can write them out:
December 3, 2024 at 6:16 PM
16/ The analysis is tricky because the outside option of each consumer depends on his demand type.
We overcome this by guessing Lagrangian multipliers and verifying that they are optimal.
It took us many guesses and sleepless nights, but now we can write them out:
We overcome this by guessing Lagrangian multipliers and verifying that they are optimal.
It took us many guesses and sleepless nights, but now we can write them out:
14/ Of course, this assumes that you want to redistribute to consumers with the lowest demand.
There are cases (think disability care) where you might want to redistribute to consumers with the highest demand.
Our result covers these cases too.
There are cases (think disability care) where you might want to redistribute to consumers with the highest demand.
Our result covers these cases too.
December 3, 2024 at 6:16 PM
14/ Of course, this assumes that you want to redistribute to consumers with the lowest demand.
There are cases (think disability care) where you might want to redistribute to consumers with the highest demand.
Our result covers these cases too.
There are cases (think disability care) where you might want to redistribute to consumers with the highest demand.
Our result covers these cases too.
4/ In each of these two papers, we answer these questions by:
(1) Developing "sufficient statistics" that give necessary + sufficient conditions to intervene.
(2) Building new mechanism design tools to figure out optimal interventions, which we can cutely summarize like this.
(1) Developing "sufficient statistics" that give necessary + sufficient conditions to intervene.
(2) Building new mechanism design tools to figure out optimal interventions, which we can cutely summarize like this.
December 3, 2024 at 6:16 PM
4/ In each of these two papers, we answer these questions by:
(1) Developing "sufficient statistics" that give necessary + sufficient conditions to intervene.
(2) Building new mechanism design tools to figure out optimal interventions, which we can cutely summarize like this.
(1) Developing "sufficient statistics" that give necessary + sufficient conditions to intervene.
(2) Building new mechanism design tools to figure out optimal interventions, which we can cutely summarize like this.
1/ My co-author @mitchwatt.bsky.social is on the #EconJobMarket this year.
Mitch is an applied theorist interested in market design, IO, and public policy.
I happen to know his #JMP and its companion paper very well. 😇
🧵👇 with an overview of both papers.
#EconSky
Mitch is an applied theorist interested in market design, IO, and public policy.
I happen to know his #JMP and its companion paper very well. 😇
🧵👇 with an overview of both papers.
#EconSky
December 3, 2024 at 6:16 PM
1/ My co-author @mitchwatt.bsky.social is on the #EconJobMarket this year.
Mitch is an applied theorist interested in market design, IO, and public policy.
I happen to know his #JMP and its companion paper very well. 😇
🧵👇 with an overview of both papers.
#EconSky
Mitch is an applied theorist interested in market design, IO, and public policy.
I happen to know his #JMP and its companion paper very well. 😇
🧵👇 with an overview of both papers.
#EconSky
