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Learning Management Through Matching: A Field Experiment Using Mechanism Design / Girum Abebe, Marcel Fafchamps, Michael Koelle, Simon Quinn.

NBER Working papers Available online

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Format:
Book
Author/Creator:
Abebe, Girum.
Contributor:
National Bureau of Economic Research.
Fafchamps, Marcel.
Koelle, Michael.
Quinn, Simon.
Series:
Working Paper Series (National Bureau of Economic Research) no. w26035.
NBER working paper series no. w26035
Language:
English
Physical Description:
1 online resource: illustrations (black and white);
Other Title:
Learning Management Through Matching
Place of Publication:
Cambridge, Mass. National Bureau of Economic Research 2019.
Summary:
What is the effect of exposing motivated youth to firm management in practice? To answer this question, we place young professionals for one month in established firms to shadow middle managers. Using random assignment into program participation, we find positive average effects on wage employment, but no average effect on the likelihood of self-employment. Within the treatment group, we match individuals and firms in batches using a deferred-acceptance algorithm. We show how this allows us to identify heterogeneous treatment effects by firm and intern. We find striking heterogeneity in self-employment effects, but almost no heterogeneity in wage employment. Estimates of marginal treatment effects (MTE) are then used to simulate counterfactual mechanism design. We find that some assignment mechanisms substantially outperform random matching in generating employment and income effects. These results demonstrate the importance of treatment heterogeneity for the design of field experiments and the role of matching algorithms in intervention design.
Notes:
Print version record
July 2019.

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