Search Results - subject:"Doubly Robust estimation"

The Effect of Grade Retention on School Outcomes: An Application of Doubly Robust Estimation Methods

Uysal, Selver Derya - 2010

In this study, I estimate the average causal treatment effect of grade retention on several educational outcome variables, such as completion of upper secondary school, graduation grades in math and German, as well as average final grade using a data set from Germany. The analysis relies on...

Persistent link: https://www.econbiz.de/10010273689

Doubly Robust Estimation with the R Package drgee

Zetterqvist, Johan; Sjölander, Arvid - In: Epidemiologic Methods 4 (2015) 1, pp. 69-86

biased estimates. Doubly robust estimation is an estimation technique that offers some protection against model …-outcome association if either model is correct, not necessarily both. Despite its obvious appeal, doubly robust estimation is not used on … paper we describe a new R package, drgee , which carries out doubly robust estimation in restricted mean models. The package …

Persistent link: https://www.econbiz.de/10014590607

Decomposing Differences in Arithmetic Means: A Doubly-Robust Estimation Approach

Kaiser, Boris - Department Volkswirtschaftlehre, Universität Bern - 2013

When decomposing differences in average economic outcome between two groups of individuals, it is common practice to base the analysis on logarithms if the dependent variable is nonnegative. This paper argues that this approach raises a number of undesired statistical and conceptual issues...

Persistent link: https://www.econbiz.de/10010905955

Decomposing differences in arithmetic means : a doubly-robust estimation approach

Kaiser, Boris - 2013

Persistent link: https://www.econbiz.de/10010207379

A method for increasing the robustness of multiple imputation

Daniel, Rhian M.; Kenward, Michael G. - In: Computational Statistics & Data Analysis 56 (2012) 6, pp. 1624-1643

Missing data are common wherever statistical methods are applied in practice. They present a problem in that they require that additional assumptions be made about the mechanism leading to the incompleteness of the data. By incorporating two models for the missing data process, doubly robust...

Persistent link: https://www.econbiz.de/10010871370