Spring 2026
Meetings:
MW 4:30pm - 5:50pm
F 1:30pm - 3:20pm
SLN:
18902
Section Type:
Lecture
Joint Sections:
CSSS 512 A
POLITICAL METHODOLOGY FIELD
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LAB MEETS SYNCHRONOUSLY ON ZOOM
Syllabus Description (from Canvas):
A survey of regression models for time series and time series cross-sectional data. Emphasis on modeling dynamics and panel structures with continuous outcomes, as well as on interpretation and fitting of models. Topics vary and may include trends and seasonality, ARIMA models, lagged dependent variables, distributed lags, cointegration and error correction models, fixed and random effects, panel heteroskedasticity, missing data imputation, and causal inference using panel data.
See the main course page here (non Canvas): http://faculty.washington.edu/cadolph/panUW
Catalog Description:
Extends the linear model to account for temporal dynamics and cross-sectional variation. Focuses on model selection and real-world interpretation of model results. Topics include autoregressive processes, trends, seasonality, stationarity, lagged dependent variables, ARIMA models, fixed effects, random effects, cointegration and error correction models, panel heteroskedasticity, missing data in panel models, causal inference with panel data. Recommended: graduate level coursework in linear regression and social science research design; and basic familiarity with or willingness to learn the R statistical language. Offered: jointly with CSSS 512.
Credits:
5.0
Status:
Active
Last updated:
March 9, 2026 - 2:53 pm