Political Methodology Research

Methodology

Lebo, Walker, and Clarke (2000) demonstrated the widespread applicability of fractional integration methods for political time series.

Bas, Signorino, and Walker (2008) won the Miller Prize for deploying limited information estimators to create statistical backwards induction and showed optimal properties when used with resampling estimators.

Walker (2016) is a theorem/proof treatment of efforts to generalize ordered regression models developed in the proportional-odds/parallel regressions framework. The paper shows the futility of such efforts.

Data & Code

All research materials, including data and replication code, are available on my GitHub.

I am committed to computational reproducibility and open science. Most projects include:

• Documented R/Python code
• Data (when not restricted)
• Quarto/RMarkdown analysis notebooks
• Instructions for replication

References

Bas, Muhammet Ali, Curtis S. Signorino, and Robert W. Walker. 2008. “Statistical Backwards Induction: A Simple Method for Estimating Recursive Strategic Models.” Political Analysis 16 (1): 21–40.

Lebo, Matthew J., Robert W. Walker, and Harold D. Clarke. 2000. “You Must Remember This: Dealing with Long Memory in Political Analyses.” Electoral Studies 19 (1): 31–48.

Walker, Robert W. 2016. “On Generalizing Cumulative Ordered Regression Models.” Journal of Modern Applied Statistical Methods 15 (2): 28.