Causal Inference with Ranking Data: Application to Blame Attribution in Police Violence and Ballot Order Effects in Ranked-Choice Voting
@inproceedings{Atsusaka2022CausalIW, title={Causal Inference with Ranking Data: Application to Blame Attribution in Police Violence and Ballot Order Effects in Ranked-Choice Voting}, author={Yuki Atsusaka}, year={2022} }
While rankings are at the heart of social science research, little is known about how to analyze ranking data in experimental studies. This paper introduces a potential outcomes framework to perform causal inference when outcome data are ranking data. It clarifies the structure and multi-dimensionality of ranking data, introduces causal estimands tailored to ranked outcomes, and develops methods for estimation and inference. Furthermore, it extends the framework to partially ranked data by…
Figures and Tables from this paper
References
SHOWING 1-10 OF 157 REFERENCES
Causal Inference in Conjoint Analysis: Understanding Multidimensional Choices via Stated Preference Experiments
- BusinessPolitical Analysis
- 2014
Survey experiments are a core tool for causal inference. Yet, the design of classical survey experiments prevents them from identifying which components of a multidimensional treatment are…
Difference-in-Differences for Ordinal Outcomes: Application to the Effect of Mass Shootings on Attitudes toward Gun Control
- Economics
- 2020
The difference-in-differences (DID) design is widely used in observational studies to estimate the causal effect of a treatment when repeated observations over time are available. Yet, almost all…
Using Conjoint Experiments to Analyze Election Outcomes: The Essential Role of the Average Marginal Component Effect
- EconomicsPolitical Analysis
- 2022
Political scientists have increasingly deployed conjoint survey experiments to understand multidimensional choices in various settings. In this paper, we show that the average marginal component…
Randomization Inference with Natural Experiments: An Analysis of Ballot Effects in the 2003 California Recall Election
- Economics
- 2004
Since the 2000 U.S. Presidential election, social scientists have rediscovered a long tradition of research that investigates the effects of ballot format on voting. Using a new dataset collected by…
Qualitative Imputation of Missing Potential Outcomes
- EconomicsAmerican Journal of Political Science
- 2022
We propose a framework for meta-analysis of qualitative causal inferences. We integrate qualitative counterfactual inquiry with an approach from the quantitative causal inference literature called…
How Conditioning on Posttreatment Variables Can Ruin Your Experiment and What to Do about It
- Psychology
- 2018
In principle, experiments o↵er a straightforward method for social scientists to accurately estimate causal e↵ects. However, scholars often unwittingly distort treatment e↵ect estimates by…
How Much is Enough? The "Ballot Order Effect" and the use of Social Science Research in Election Law Disputes
- Economics
- 2006
Previous empirical research and other related research from survey methodology holds that candidates listed first on an election ballot may gain some measure of advantage from this ballot placement.…
Attributing Blame: The Public's Response to Hurricane Katrina
- Political ScienceThe Journal of Politics
- 2008
When government fails, whom do citizens blame? Do these assessments rely on biased or content-rich information? Despite the vast literatures on retrospective voting in political science and…
How to make causal inferences using texts
- Computer ScienceScience advances
- 2022
A split-sample workflow for making rigorous causal inferences with discovered measures as treatments or outcomes is introduced and applied to estimate causal effects from an experiment on immigration attitudes and a study on bureaucratic responsiveness.
Causal Effect for Ordinal Outcomes from Observational Data: Bayesian Approach
- Economics
- 2016
Ordinal outcomes are often observed in the social and economic sciences. Itis frequently that the scale or magnitude of the outcomes is not available. The commonaverage treatment effect is not…