Abstract
This paper is an examination of how autoregressive earnings models commonly used to evaluate job-training programs can produce badly biased estimates of both the magnitude and the temporal pattern of program impacts. Ashenfelter's results are used to illustrate this point, and a new, more appropriate model is used to reanalyze his data. Of particular importance is the finding that the decay in Ashenfelter's estimated training effect for men was produced by a time-varying bias in his model.
Keywords
Training (meteorology)Job trainingLongitudinal dataOn-the-job trainingPsychologyLongitudinal studyDemographic economicsMedical educationEconomicsStatisticsSociologyDemographyVocational educationPedagogyMathematicsGeographyMedicine
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Publication Info
- Year
- 1984
- Type
- article
- Volume
- 19
- Issue
- 4
- Pages
- 544-544
- Citations
- 42
- Access
- Closed
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Cite This
Howard S. Bloom
(1984).
Estimating the Effect of Job-Training Programs, Using Longitudinal Data: Ashenfelter's Findings Reconsidered.
The Journal of Human Resources
, 19
(4)
, 544-544.
https://doi.org/10.2307/145947
Identifiers
- DOI
- 10.2307/145947