Certificate in Causal Inference for Social Sciences
-- ViewingNowThe Certificate in Causal Inference for Social Sciences is a comprehensive course designed to equip learners with essential skills in causal inference. This program is crucial for anyone looking to advance their career in social sciences, as it provides a deep understanding of the causes and effects of various social phenomena.
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โข Introduction to Causal Inference: Understanding the basics of causal inference, causation vs. correlation, potential outcomes framework.
โข Study Designs: Experimental and observational study designs, confounding, bias, and selection issues.
โข Propensity Score Matching: Propensity score methods, estimation, and applications.
โข Difference-in-Differences (DID): DID methodology, assumptions, and estimation techniques.
โข Regression Discontinuity Designs: Regression discontinuity principles, threshold effects, and implementation.
โข Instrumental Variables (IV) Estimation: IV theory, assumptions, and two-stage least squares (2SLS) estimation.
โข Sensitivity Analysis: Measuring robustness and uncertainty in causal inferences.
โข Causal Inference Software Tools: R and Stata packages for causal inference, including MatchIt, twang, and did.
โข Applications in Social Sciences: Case studies and applications of causal inference methods in social sciences.
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