Long-Term Outcomes and Heterogeneity of Effects of Health Interventions in Matlab, Bangladesh

Julia R. Driessen, Assistant Professor of Health Policy and Management in the Graduate School of Public Health at the University of Pittsburgh

RSVP Required by 5PM on October 9

This research aims to better understand the impact of the Matlab health interventions by using panel data to control for unobservables and understand the dynamics and long-term effects of these programs. Heterogeneity in the fertility response to the family planning program is analyzed, using sequential fertility to isolate the family planning program from other interventions and examine heterogeneity based on time-varying characteristics. The link between childhood measles vaccination and school enrollment is examined using instrumental variables, and is motivated by the hypothesis that by avoiding the long-term health effects of a disease, vaccinated children are higher-achieving. Both analyses generate interesting findings that are not captured using the traditional methodologies and outcomes of program evaluation.

Wednesday, October 10, 2012 | 12:00 pm — 1:30 pm
Okimoto Conference Room, Encina Hall East, 3rd Floor

Asia Health Policy Program, Shorenstein APARC