Team project for Duke IDS702 class
| Name | Role | Reference |
|---|---|---|
| Anna Dai | Coordinator | GitHub Profile |
| Moritz Wilksch | Presenter | GitHub Profile |
| Dauren Bizhanov | Programmer | GitHub Profile |
| Himangshu Raj Bhantana | Checker | GitHub Profile |
| Athena Liu | Writer | GitHub Profile |
We conduct a statistical analysis on the effect that job training for disatvantaged workers has on employee's wages using a linear regression model. We regress the difference in earning pre and post training on subject's characteristics. We employ a stepwise regression process to build a parsimonious model to answer the inferential questions of interest. The detailed analysis is available in Reports/Team-Project-I-Report.pdf
To further scrutinize the relationship between job training and worker's wages, we employ a logist regression model to model the likelihood of receiving a non-zero salary after having received job training. The detailed analysis is available in Reports/Team-Project-I-Report.pdf
- Lalonde, R. J. (1986), Evaluating the econometric evaluations of training programs with experimental data, The American Economic Review, 76, 604 - 620. (Main reference.)
- Dehejia, R., and Wahba, S. (1999), Causal Effects in Nonexperimental Studies: Reevaluating the Evaluation of Training Programs, Journal of the American Statistical Association, 94, 1053-1062. (Secondary reference which analyzes a subset of the Lalonde data.)