How are auxiliary variables used in studies of human potential? What is the relationship between auxiliary variables and indicators of societal progress?

Whitaker, Salina Wu, "The Combined Impact of Continuous and Ordinal Auxiliary Variables on Missing Data Imputation in SEM" (2021). Electronic Theses and ... variable of interest Y, using the ranking variable X as an auxiliary variable when the population mean µx is unknown. The proposed estimators fare better ... Sep 15, 2023 ... However, guidance for choosing auxiliary variables is lacking. We examine the consequences of a poorly chosen auxiliary variable: if it ... . The variables in Y are called auxiliary variables. An auxiliary variable y is called dependent if and only if in the first item above all extensions a0 ... Beyond Backprop: Online Alternating Minimization with Auxiliary Variables. Anna Choromanska, Benjamin Cowen, Sadhana Kumaravel, Ronny Luss, Mattia Rigotti, ... Good auxiliary variables can also be correlates or predictors of missingness. Let's create a set of missing data flags for each variable to be imputed. We will ... Different sorts of auxiliary variables variables measured at previous waves, frame variables and paradata - can be used to improve the accuracy of ... Auxiliary variables are used for variables that are not stock or flow variables. · 1: Difference equation of one stock and two flow variables, and. · 2: A ... Nov 18, 2022 ... A simulation study: Improved ratio-in-regression type variance estimator based on dual use of auxiliary variable under simple random sampling. Abstract. We present a new approach to sample from generic binary distributions, based on an exact Hamiltonian Monte Carlo algorithm applied to a piecewise ...