Papers

You can find my papers on Google Scholar as well.

Working Papers

Generational Differences in Abortion Attitudes in the United States: Will Dobbs v. Jackson Become Starkly Counter-Majoritarian?

Oct 13, 2023. Carlisle Rainey, Robert Jackson. Working paper.
Preprint Dataverse
The Limits of Single-Topic Designs

Oct 10, 2023. Scott Clifford, Carlisle Rainey. Working paper.
Preprint
Estimators for Topic-Sampling Designs

Aug 10, 2023. Scott Clifford, Carlisle Rainey. Working paper.
Preprint
Generation Effects on Americans' Symbolic Ideology and Attitudes Toward the Economic Role of Government

Aug 2, 2023. Robert Jackson, Carlisle Rainey. Working paper.
Preprint

Forthcoming

Hypothesis Tests Under Separation

Sep 7, 2023. Carlisle Rainey. Forthcoming at Political Analysis.
Open Access Preprint Dataverse OSF
See also Rainey (2016)
Generalizing Survey Experiments Using Topic Sampling: An Application to Party Cues

Mar 26, 2023. Scott Clifford, Thomas Leeper, Carlisle Rainey. Forthcoming at Political Behavior.
PDF Publisher's Version Dataverse
A Careful Consideration of CLARIFY: Simulation-Induced Bias in Point Estimates of Quantities of Interest

Mar 26, 2023. Carlisle Rainey. Forthcoming at Political Science Research and Methods.
Errata PDF Open Access Dataverse GitHub

Published Papers

Estimating Logit Models with Small Samples

2021. Carlisle Rainey, Kelly McCaskey. Political Science Research and Methods.
PDF Open Access Dataverse
When BLUE Is Not Best: Non-Normal Errors and the Linear Model

2020. Daniel Baissa, Carlisle Rainey. Political Science Research and Methods.
PDF Publisher's Version Dataverse
Unreliable Inferences about Unobservable Processes: A Critique of Partial Observability Models

2018. Carlisle Rainey, Robert Jackson. Political Science Research and Methods.
PDF Publisher's Version Dataverse
Transformation-Induced Bias: Unbiased Coefficients Do Not Imply Unbiased Quantities of Interest

2017. Carlisle Rainey. Political Analysis.
PDF Publisher's Version Dataverse
Compression and Conditional Effects: A Product Term Is Essential When Using Logistic Regression to Test for Interaction

2016. Carlisle Rainey. Political Science Research and Methods.
PDF Publisher's Version Appendix Dataverse
Dealing with Separation in Logistic Regression Models

2016. Carlisle Rainey. Political Analysis.
PDF Publisher's Version Appendix Dataverse
Does District Magnitude Matter: The Case of Taiwan

2016. Carlisle Rainey. Electoral Studies.
PDF Publisher's Version Dataverse
Strategic Mobilization: Why Proportional Representation Decreases Voter Mobilization

2015. Carlisle Rainey. Electoral Studies.
PDF Publisher's Version Appendix Dataverse
Substantive Importance and the Veil of Statistical Significance

2015. Kelly McCaskey, Carlisle Rainey. Statistics, Politics, and Policy.
PDF Publisher's Version GitHub
Moral Concerns and Policy Attitudes: Investigating the Influence of Elite Rhetoric

2015. Scott Clifford, Jennifer Jerit, Carlisle Rainey, Matt Motyl. Political Communication.
PDF Publisher's Version
The Politics of Need: Examining Governors' Decisions to Oppose the 'Obamacare' Medicaid Expansion

2014. Charles Barrillleaux, Carlisle Rainey. State Politics and Policy Quarterly.
PDF Publisher's Version Appendix Dataverse
The Question(s) of Political Knowledge

2014. Jason Barabas, Jennifer Jerit, William Pollock, Carlisle Rainey. American Political Science Review.
PDF Publisher's Version Dataverse
Arguing for a Negligible Effect

2014. Carlisle Rainey. American Journal of Political Science.
PDF Publisher's Version Appendix Dataverse