Hi everyone Instats is excited to offer a 2-day seminar, Causal Inference with Cross-Sectional Data <https://instats.org/seminar/causal-inference-with-cross-sectional-da>, led by professor Jeffrey Wooldridge, one of the world’s most renowned econometrics educators. Across two intensive days, you’ll build a solid, hands-on foundation for estimating causal effects when randomized trials aren’t feasible—mastering potential-outcomes notation, understanding the role of unconfoundedness and overlap, leveraging propensity scores, combining regression adjustment with weighting for doubly robust estimation, and extending these ideas to instrumental-variables, control-function, and regression-discontinuity designs.
This seminar runs prior to the next seminar in professor Wooldridge's series: Difference-in-Differences (DiD) Methods with Panel Data <https://instats.org/seminar/difference-in-differences-did-with-panel>. Conveniently, these seminars are being offered as a 4-part structured course on panel data modeling, From Static Models to DiD Estimation and Causal Inference <https://instats.org/structuredcourse/panel-data-modeling-from-static-models-4924> with professors Wooldridge and Marchese. The 4-part course includes two seminars first covering panel data methods to prepare you for professor Wooldridge's later seminars, with a 10% discount when purchasing them together. Sign up today <https://instats.org/structuredcourse/panel-data-modeling-from-static-models-4924> to secure your spot, and feel free to circulate this announcement to colleagues and students who might benefit! Best wishes Michael Zyphur Professor and Director Institute for Statistical and Data Science https://instats.org [[alternative HTML version deleted]] _______________________________________________ R-sig-ecology mailing list [email protected] https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
