Skip navigation
Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributor.authorCard, Daviden_US
dc.contributor.authorAshenfelter, Orleyen_US
dc.identifier.citationReview of Economics and Statistics, Vol. 67, No. 4, 1985en_US
dc.description.abstractIn this paper we set out some methods that utilize the longitudinal structure of earnings of trainees and a comparison group to estimate the effectiveness of training for the 1976 cohort of CETA trainees. By fitting a components-of—variance model of earnings to the control group, and by posing a simple model of program participation, we are able to predict the entire pre-training and post—training earnings histories of the trainees. The fit of these predictions to the pre-training earnings of the CETA participants provides a test of the model of earnings generation and program participation and a simple check on the corresponding estimate of the effectiveness of training. Two assumptions have a strong influence on the magnitude of the estimated training effects: the timing of the decision to participate in training, and the presence or absence of individual-specific trends in earnings. We find considerable evidence that trainee earnings con— tain permanent, transitory,and trend—like components of selection bias. We are less successful in empirically distinguishing between alternative assumptions on the timing of the participation decision. If earnings in the year prior to training are the appropriate selection criterion, then our estimate of the training effect for adult male CETA partici- pants is about 300 dollars per year. Our estimates for female CETA participants are larger and less sensitive to alternative models of program participation.en_US
dc.relation.ispartofseriesWorking Papers (Princeton University. Industrial Relations Section) ; 174en_US
dc.titleUsing the Longitudinal Structure of Earnings to Estimate the Effect of Training Programsen_US
dc.typeWorking Paperen_US
Appears in Collections:IRS Working Papers

Files in This Item:
File Description SizeFormat 
174.pdf2.18 MBAdobe PDFView/Download

Items in Dataspace are protected by copyright, with all rights reserved, unless otherwise indicated.