Object-oriented Computation of Sandwich Estimators

Zeileis, Achim (2006) Object-oriented Computation of Sandwich Estimators. Research Report Series / Department of Statistics and Mathematics, 37. Department of Statistics and Mathematics, WU Vienna University of Economics and Business, Vienna.


Download (284kB)


Sandwich covariance matrix estimators are a popular tool in applied regression modeling for performing inference that is robust to certain types of model misspecification. Suitable implementations are available in the R system for statistical computing for certain model fitting functions only (in particular lm()), but not for other standard regression functions, such as glm(), nls(), or survreg(). Therefore, conceptual tools and their translation to computational tools in the package sandwich are discussed, enabling the computation of sandwich estimators in general parametric models. Object orientation can be achieved by providing a few extractor functions-most importantly for the empirical estimating functions-from which various types of sandwich estimators can be computed.

Item Type: Paper
Keywords: covariance matrix estimators / estimating functions / object orientation / R
Divisions: Departments > Finance, Accounting and Statistics > Statistics and Mathematics
Depositing User: Repository Administrator
Date Deposited: 23 May 2006 22:51
Last Modified: 22 Oct 2019 00:41
URI: https://epub.wu.ac.at/id/eprint/1644


View Item View Item


Downloads per month over past year

View more statistics