Welcome to the Political Science 290G Homepage

Professor Brad Jones

Department of Political Science

University of California, Davis

Topic Schedule

1. Simulation, Bootstrapping, and Post-Estimation Uncertainty

Kosuke Imai, Gary King, and Olivia Lau. "Toward A Common Framework for Statistical Analysis and Development" Journal of Computational and Graphical Statistics, Vol. 17, No. 4 (December), pp. 892-913 PDF of Article

Herron, Michael. “Postestimation Uncertainty in Limited Dependent Variable Models.” Political Analysis. Vol. 8, No. 1, pp. 83-98. PDF of Article

MacKinnon, James G. “Bootstrap Inference in Econometrics.” The Canadian Journal of Economics / Revue canadienne d'Economique, Vol. 35, No. 4 (Nov., 2002). PDF of Article

Also

Rizzo, Chapters 1-3 (R stuff) and Chapters 6-7.

Maindondald and Braun, Chapters 1-3 (R stuff); Chapter 4

2. Post-Estimation Graphical Displays

Lecture Notes

Fox, John. Effect Displays in R for Generalised Linear Models.

PDF of Article

Fox, John and Richard Anderson. EFFECT DISPLAYS FOR

MULTINOMIAL AND PROPORTIONAL-ODDS LOGIT

MODELS

PDF of Article

King, Gary, Michael Tomz, and Jason Wittenberg. Making the Most of Statistical Analyses:

Improving Interpretation and Presentation

PDF of Article

3. MCMC Methods and an Introduction to Bayesian Inference

Rizzo, Chapters 5, 6-9.

4. Instrumental Variables Models

5. Time-Series Modeling

6. Nonparametric Methods and Models

7. Models for Correlated Data

8. Extensions of Standard Survival Models

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