Mikkel Gandil
@gandil.bsky.social
Research economist at the Rockwool Foundation (@rockwoolfonden.dk).
Education, labor and applied econ.
CESifo, IZA.
Website: https://sites.google.com/view/mikkelgandil
Education, labor and applied econ.
CESifo, IZA.
Website: https://sites.google.com/view/mikkelgandil
Skolevalget er måske ikke så afgørende som man skulle tro.
I hvert fald har forskning svært ved at finde effekter af at få sit førstevalg.
Jeg har bidraget lidt til Weekendavisen i dag: www.weekendavisen.dk/2023-49/idee...
I hvert fald har forskning svært ved at finde effekter af at få sit førstevalg.
Jeg har bidraget lidt til Weekendavisen i dag: www.weekendavisen.dk/2023-49/idee...
December 8, 2023 at 7:05 AM
Skolevalget er måske ikke så afgørende som man skulle tro.
I hvert fald har forskning svært ved at finde effekter af at få sit førstevalg.
Jeg har bidraget lidt til Weekendavisen i dag: www.weekendavisen.dk/2023-49/idee...
I hvert fald har forskning svært ved at finde effekter af at få sit førstevalg.
Jeg har bidraget lidt til Weekendavisen i dag: www.weekendavisen.dk/2023-49/idee...
Tommy makes excellent points about school choice on the old-old site.
Fairness and legality rely on transparency and automation.
However, my experience is that policy-makers dislike algorithmic allocation out of a misplaced fear of AI and mistaken beliefs that admin discretion improves fairness.
Fairness and legality rely on transparency and automation.
However, my experience is that policy-makers dislike algorithmic allocation out of a misplaced fear of AI and mistaken beliefs that admin discretion improves fairness.
October 6, 2023 at 7:40 AM
Tommy makes excellent points about school choice on the old-old site.
Fairness and legality rely on transparency and automation.
However, my experience is that policy-makers dislike algorithmic allocation out of a misplaced fear of AI and mistaken beliefs that admin discretion improves fairness.
Fairness and legality rely on transparency and automation.
However, my experience is that policy-makers dislike algorithmic allocation out of a misplaced fear of AI and mistaken beliefs that admin discretion improves fairness.