Job Training Partnership Act
This dataset was constructed for the empirical application in Han (2021), "Optimal Dynamic Treatment Regimes and Partial Welfare Ordering." It combines data from the Job Training Partnership Act (JTPA) study with auxiliary data on local high school density used as an instrumental variable for edu
This dataset was constructed for the empirical application in Han (2021), “Optimal Dynamic Treatment Regimes and Partial Welfare Ordering.” It combines data from the Job Training Partnership Act (JTPA) study with auxiliary data on local high school density used as an instrumental variable for educational attainment. The JTPA was a large-scale US randomized evaluation of subsidized job training for disadvantaged adults conducted in the early 1990s. The dataset covers disadvantaged individuals and records their schooling decisions, job training participation (and assignment), pre-program and post-program earnings, and demographic information. It is used to study the optimal sequential policy of first assigning a high school diploma and then assigning job training, with the goal of maximizing employment outcomes. It can be used to validate instrumental variable (IV) methodology.
Task: The collection can be used to study causal inference algorithms.
Summary:
- Size of dataset: 9,224 x 11
- Task: Causal Inference
- Data Type: Mixed Data
- Dataset Scope: Standalone Dataset
- Ground Truth: Known Graph
- Temporal Structure: Static Data
- License: CC BY-NC 4.0
- Missing Values: No Missing Values
Features:
- sex: Binary covariate: 1 if male, 0 if female.
- n_hs2: Continuous variable: number of high schools per square mile in the individual’s local area. Used to construct the instrument for schooling.
- Z1: Binary instrument: indicator that local high school density is at or above 35 per square mile. Serves as an IV for D1 (high school diploma).
- edu: Continuous variable: years of completed education.
- D1: Binary treatment indicator: whether the individual has a high school diploma, i.e., 12 or more years of education (derived from `edu`).
- prevearn: Continuous intermediate outcome: pre-program earnings.
- Y1: Binary intermediate outcome: indicator that pre-program earnings are at or above the 80th percentile (derived from `prevearn`).
- Z2: Binary instrument: whether the individual was randomly assigned to job training under the JTPA program (1 = assigned, 0 = not assigned). Serves as an IV for D2.
- D2: Binary treatment indicator: whether the individual actually received job training (1 = received, 0 = did not).
- earnings: Continuous outcome: total earnings (in USD) in the 30 months following the job training program.
- Y2: Binary terminal outcome: indi
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Files are hosted on the source repository. Click download to access the full dataset.