Context. - Following 2 years of heated controversy about the resident match, the National Resident Matching Program (NRMP) recently voted to replace the existing matching algorithm with a newly designed applicant-proposing algorithm.
- To design an applicant-proposing algorithm for the match and compare it with the existing NRMP algorithm to determine how many applicants and residency programs could be expected to receive better or worse matches from the 2 algorithms, how the different algorithms influence the opportunity for strategic behavior, and what advice can be given to participants.
- Computational experiments compared the newly designed applicant-proposing algorithm with the existing NRMP algorithm on the rank order lists (ROLs) submitted by all applicants and residency programs in the 1987 and 1993 through 1996 NRMP matches.
- Differences in the matchings produced by the 2 algorithms are small : fewer than 1 in 1000 applicants would have received a different match.
Most (but not all) of the few applicants who are matched to different positions by the 2 algorithms do better when the applicant-proposing algorithm is used ; the opposite is true for programs.
Opportunities for profitable strategic behavior are very rare for both applicants and programs under either algorithm. (...)
Mots-clés Pascal : Enseignement, Spécialité médicale, Programme, Adaptation universitaire, Homme
Mots-clés Pascal anglais : Teaching, Medical specialty, Program, College adaptation, Human
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 97-0466286
Code Inist : 002B30A09. Création : 03/02/1998.