Journal of Labor Economics · 1995 · 286 citations · 0 references
Social SciencesEconomicsHuman Resource ManagementLabor EconomicsLabor Market AnalysisWorkforce DevelopmentEmployee TrainingJob EnrichmentOn-the-job TrainingPersonnel EconomicsSkill UtilizationTalent DevelopmentEmployee Performance PredictionHeterogeneityJob Performance AssessmentProductivityReturns To TrainingSelection Bias AnalysisTraining Effectiveness AnalysisWage Growth
A unique dataset collected from the personnel records of a large company is used to study the relationship between on-the-job training and worker productivity. The analysis shows how information contained in a company database is useful for eliminating heterogeneity bias in the estimation of training's impact on wages and job performance. Even when selection bias in assignment to training programs is eliminated, training is found to have a positive and significant effect on both wage growth and the change in job performance scores, thereby confirming the robustness of the relationship between training and productivity.