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Thursday, January 11
Thu, Jan 11, 11:00 AM - 12:45 PM
Crystal Ballroom E
Difference in Differences (DiD) and Propensity Scores

Causal Difference-in-Differences Methods with Application to Evaluating the Impact of Pediatric Medical Homeness (304251)

*Bing Han, RAND Corporation 

Keywords: Difference-in-differences, causal inference, medical home

Difference-in-differences (DID) is a popular approach in longitudinal observational and quasi-experiment studies to estimate effects discrete treatment statuses. In many studies the treatment arm can have a range of dosage or exposure levels which can be approximated by a continuous distribution. For example, medical homeness is a continuous score for the extent to which a patient-centered medical home model is achieved. We discuss a causal difference-in-differences (DID) approach to estimating the semi-continuous treatment dosage effect. The proposed semiparametric approach extends the existing causal DID approach for discrete treatment and the generalized propensity score (GPS) in cross-sectional studies. The proposed approach allows for mixed-type designs as well as different propensity models. We applied the proposed approach to evaluate the dosage effect of medical homeness on health care utilization and quality rating outcomes.