Teach for America Chicago Match Revamp
We are delighted to share the results of a study from a peer at the University of Oregon. Jonathan Davis partnered with Teach for America Chicago and Northern Indiana to revamp the matching process and switch to a deferred acceptance approach pioneered by Parag Pathak.
Davis found that, by improving the teacher match, satisfaction increased 33% and teacher retention increased 16 percent.
Avela would be delighted to work with your organization to improve talent matching and job placements to realize a similar gain. Not only does this increase retention and satisfaction, but also productivity!
You can read more about Dr. Davis and his research here: https://sites.google.com/site/jonathanmvdavis/research
Below, please find information about the original paper:
The Short and Long Run Impacts of the Deferred Acceptance Algorithm:
Evidence from Matching Teach For America Teachers to Schools
Jonathan Martin Villars Davis, PhD
University of Oregon
jdavis5@uoregon.edu
June 21, 2020
Abstract:
This paper presents evidence from a field experiment I conducted to measure the impacts of matching with the deferred acceptance (DA) algorithm on match outcomes. I worked with Teach For America (TFA) to match high school teachers to schools in Chicago using the DA, while initially keeping its original mechanism unchanged for elementary teachers. Matching with the DA shifted teachers to more disadvantaged schools, increased the share of teachers who report being satisfied or very satisfied with TFA by 33 percent, and increased teachers’ retention through their two-year commitment to TFA by 8.6 percentage points. This provides empirical support for the hypothesis that the DA improves outcomes in unraveled markets.
