Hi everyone Instats is pleased to present a comprehensive four‑part course on Causality in Cross-Sectional and Panel Data <https://instats.org/course/panel-data-modeling-from-static-models-4924>, taught in collaboration with professors Jeffrey Wooldridge and Malvina Marchese. The series opens with Marchese’s two hands‑on workshops: 'Panel Data Models and Methods' on July 21–22 and 'Advanced Panel Data Modeling' on August 4–5, where you’ll gain practical mastery of fixed‑ and random‑effects estimation, nonlinear panel specifications, and strategies to address bias in longitudinal data. Later this summer, Professor Wooldridge will guide you through 'Causal Inference with Cross‑Sectional Data', covering potential‑outcomes notation, unconfoundedness and overlap, propensity‑score and doubly‑robust estimation, and advanced designs (instrumental variables, control‑function, regression‑discontinuity), followed by 'Difference‑in‑Differences Methods with Panel Data', which synthesizes causal‑inference techniques with longitudinal analysis to estimate treatment effects when experiments aren’t possible. You may register for any seminar individually or enroll in the full four‑part course to save 10%, with live streaming, 30 days of recordings, and dedicated instructor support included.
Sign up today <https://instats.org/course/panel-data-modeling-from-static-models-4924> to secure your spot, and please feel free to share this announcement with colleagues and students who would benefit! Best wishes Michael Zyphur Professor and Director Institute for Statistical and Data Science https://instats.org [[alternative HTML version deleted]] _______________________________________________ R-sig-Epi@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-sig-epi
