Advanced Health Econometrics (Synchronous e-Learning)

This advanced course expands students’ econometric toolset in two key areas of Health Economics and Outcomes Research (HEOR): (1) addressing threats to causal inferences with econometrics techniques such as panel techniques and instrumental variable approach and (2) modelling discrete outcomes, such as number of admissions and lengths of stay,
and censored and non-normally distributed outcomes, such as medical expenditures.
Estimation of these outcomes requires a movement away from traditional ordinary least squares (OLS) regression analysis. This course will focus on generalized linear models, count models, and models that deal with data with mass at zero or with long tails. This course will also expand on techniques for causal inference, including fixed/random effect panel models, difference-in-differences, and regression discontinuity designs in efforts to minimize biases inherent in real-word evidence data. Thereby, allowing students to extract meaningful insights and knowledge from data to support decision-making, understand phenomena, and predict future outcomes.

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