Matching using semiparametric propensity scores
نویسندگان
چکیده
منابع مشابه
Matching and Propensity Scores
The popularity of matching techniques has increased considerably during the last decades. They are mainly used for matching treatment and control units in order to estimate causal treatment effects from observational studies or for integrating two or more data sets that share a common subset of covariates. In focusing on causal inference with observational studies, we discuss multivariate match...
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BACKGROUND Propensity score methods have become a popular tool for reducing selection bias in making causal inference from observational studies in medical research. Propensity score matching, a key component of propensity score methods, normally matches units based on the distance between point estimates of the propensity scores. The problem with this technique is that it is difficult to estab...
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In observational studies subjects are not randomly assigned to treatment and control groups. Therefore, both groups can be significantly different from each other and their differences after applying a treatment cannot be attributed to the treatment effect. Propensity scores methods offer a way to balance groups by matching treatment and control units based on a set of covariates. This paper ex...
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Propensity scores are increasingly being used in large sample studies to control for pregroup differences. Because these scores are often used to match cases, they can result in sample attrition. In smaller sample studies, such attrition leaves too few cases for meaningful analysis. Alternatives when working with small samples are to use propensity scores as covariates to control for pre-group ...
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Contrails are clouds caused by airplane exhausts, which geologists contend decrease daily temperature ranges on Earth. Following the 2001 World Trade Center attack, cancelled domestic flights triggered the first absence of contrails in decades. Resultant exceptional data capacitated causal inference analysis by propensity score matching. Estimated contrail effect was 6.8981°F.
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ژورنال
عنوان ژورنال: Empirical Economics
سال: 2012
ISSN: 0377-7332,1435-8921
DOI: 10.1007/s00181-012-0591-3