using a data set from Germany. The analysis relies on Conditional Independence Assumption. I use doubly robust method …

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 …

whether these transfers reduce the own tax effort of cities covered by such revenues. For this, we apply the doubly robust …

whether these transfers reduce the own tax effort of cities covered by such revenues. For this, we apply the doubly robust …

aggregate decomposition that is "doubly robust", that is, consistent under two separate sets of assumptions. A comparative Monte …

may otherwise be inconsistent. Recently, a new class of estimators known as doubly robust estimators has been proposed … is correct, not necessarily both. Thus doubly robust estimators give the analyst two chances instead of only one to make … valid inference. In this article, we describe a new Stata command, drglm, that implements the most common doubly robust …