Discuss the use of auxiliary variables in macroeconomic research.

Nov 18, 2022 ... A simulation study: Improved ratio-in-regression type variance estimator based on dual use of auxiliary variable under simple random sampling. ... auxiliary variable. The authors derived the expressions for the mean squared error of the proposed estimators up to the first order of approximation. It was ... Sensitive variable;; Non-response;; Auxiliary variable;; Ratio estimator;; Product estimator. full text sources. Elsevier. |. © The SAO Astrophysics Data System. This article introduces a novel estimator known as the neutrosophic ratio-cum-product exponential estimator combining two auxiliary variables, specifically ... Nov 10, 2020 ... Title:Learning Discrete Energy-based Models via Auxiliary-variable Local Exploration ... Abstract:Discrete structures play an important role in ... Dec 13, 2019 ... Auxiliary variables are observed variables that are not of primary interest in your target model. They are included in the model for the sole ... Analyzing data with full-information maximum likelihood with auxiliary variables. The techniques used to account for auxiliary variables are both ... Dec 11, 2023 ... Auxiliary variables are used in multiple imputation (MI) to reduce bias and increase efficiency. These variables may often themselves be ... The data in the auxiliary file is primarily imputed from other datasets including the Medical Expenditure Panel Survey Household Component (MEPS-HC), Medical ... Auxiliary Variable xi is value of an auxiliary variable for unit i. Assume µ(x), the population mean of x is known and we observe yi and xi for all the ...