Matching as nonparametric preprocessing for reducing model dependence in parametric causal inference
Although published works rarely include causal estimates from more than a few model
specifications, authors usually choose the presented estimates from numerous trial runs …
specifications, authors usually choose the presented estimates from numerous trial runs …
MatchIt: nonparametric preprocessing for parametric causal inference
MatchIt implements the suggestions of Ho, Imai, King, and Stuart (2007) for improving
parametric statistical models by preprocessing data with nonparametric matching methods …
parametric statistical models by preprocessing data with nonparametric matching methods …
A theory of statistical inference for matching methods in causal research
Researchers who generate data often optimize efficiency and robustness by choosing
stratified over simple random sampling designs. Yet, all theories of inference proposed to …
stratified over simple random sampling designs. Yet, all theories of inference proposed to …
The statistics of causal inference: A view from political methodology
L Keele - Political Analysis, 2015 - cambridge.org
Many areas of political science focus on causal questions. Evidence from statistical analyses
is often used to make the case for causal relationships. While statistical analyses can help …
is often used to make the case for causal relationships. While statistical analyses can help …
Matching methods for causal inference with time‐series cross‐sectional data
Matching methods improve the validity of causal inference by reducing model dependence
and offering intuitive diagnostics. Although they have become a part of the standard tool kit …
and offering intuitive diagnostics. Although they have become a part of the standard tool kit …
A selection bias approach to sensitivity analysis for causal effects
M Blackwell - Political Analysis, 2014 - cambridge.org
The estimation of causal effects has a revered place in all fields of empirical political
science, but a large volume of methodological and applied work ignores a fundamental fact …
science, but a large volume of methodological and applied work ignores a fundamental fact …
Why propensity scores should not be used for matching
We show that propensity score matching (PSM), an enormously popular method of
preprocessing data for causal inference, often accomplishes the opposite of its intended …
preprocessing data for causal inference, often accomplishes the opposite of its intended …
Testing causal theories with learned proxies
Social scientists commonly use computational models to estimate proxies of unobserved
concepts, then incorporate these proxies into subsequent tests of their theories. The …
concepts, then incorporate these proxies into subsequent tests of their theories. The …
Matching estimators of causal effects: Prospects and pitfalls in theory and practice
SL Morgan, DJ Harding - Sociological methods & research, 2006 - journals.sagepub.com
As the counterfactual model of causality has increased in popularity, sociologists have
returned to matching as a research methodology. In this article, advances over the past two …
returned to matching as a research methodology. In this article, advances over the past two …
Opiates for the matches: Matching methods for causal inference
JS Sekhon - Annual Review of Political Science, 2009 - annualreviews.org
In recent years, there has been a burst of innovative work on methods for estimating causal
effects using observational data. Much of this work has extended and brought a renewed …
effects using observational data. Much of this work has extended and brought a renewed …