An Effectiveness Assessment and Cost-Benefit Analysis of Registered Apprenticed Appreticeship

CBER will match the RAPIDS data to UI wage records to analyze employment, earnings and retention. The analysis will include descriptive statistics, regression models, and propensity score matching. Labor market outcomes will be examined for all apprenticeship participants (completers and dropouts together) and for completers and dropouts separately. The analysis will also investigate subsamples of apprentices by gender, industry, and program length. CBER will also use its access to administrative data on employment services (ES) participants. CBER will work with Mathematica to identify a relevant comparison group among ES participants. CBER will match ES data with UI wage records. The analysis will include descriptive statistics, regression models, and propensity score matching. The analysis will also investigate subsamples by gender. We will work together with Mathematica to develop SAS and STATA code for this part of the analysis.