Discuss the use of auxiliary variables in research on productivity and economic growth.

Aug 12, 2019 ... I want to iterate over then with an auxiliar variable, like i, because when some condition is met (like EC is different of RG), I want that this iteration go ... Dec 11, 2023 ... Auxiliary variables are used in multiple imputation (MI) to reduce bias and increase efficiency. These variables may often themselves be ... Oct 1, 2019 ... Adjustment of the Auxiliary Variable(s) for Estimation of a Finite Population Mean. Language: English. Keywords: model based approach; percent ... Dec 30, 2015 ... ... auxiliary variable information. In order to evaluate efficiency of the introduced estimator, we first review some estimators and study the ... The new auxiliary datasets contain data derived from the regular FARS/GES variables using NCSA analyti- cal data classifications. These classifications are ... Apr 17, 2018 ... I have three ordinal variables relating to public spending preferences that are all strongly correlated. One of them is missing around a 103 observations, ... 2.1 Requirement: Functions that compute auxiliary variables should have simple, intuitive calling arguments . Auxiliary variables take in constant data as ... Auxiliary variables are used in multiple imputation (MI) to reduce bias and increase efficiency. These variables may often themselves be incomplete. Publication. Hoare Logic for NanoJava: Auxiliary Variables, Side Effects and Virtual Methods revisited. Author(s): David von Oheimb, Tobias Nipkow Jul 11, 2024 ... A way to evolve this auxiliary state without having it get integrated along with the ODE state. Adding this feature would likely come with some practical and ...