Longitudinal Student Retention Predictive Causal Inference Framework

Construct a causal inference model for predicting and understanding student retention using potential outcomes methodology. Integrate time-series data from enrollment records, financial aid information, academic performance, and student support interactions. Implement doubly robust estimation techniques to minimize confounding bias and estimate precise causal effects of institutional interventions on retention probability. The model should provide counterfactual scenario analysis and identify statistically significant intervention strategies.