IJM 2020
DOI: 10.34196/ijm.00226
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Comparative analysis of different techniques to impute expenditures into an income data set

Abstract: Income and budget data seldom are measured in the same dataset. In order to make simulations that need both, one requires a reliable procedure to merge an income and a budget survey into one combined dataset. This paper contains the comparison and evaluation of five different techniques to impute expenditures into income datasets: parametric estimation of Engel curves, nonparametric estimation, both constrained and unconstrained matching using a distance function and grade correspondence. After a detailed desc… Show more

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“…The most basic implementation of the distance method uses distance functions with finite weights for the overlapping variables (Decoster et al, 2020). To be precise, for a given record in the survey, the distance in the (selected) overlapping variables to every record in SMILE model is calculated.…”
Section: Sub-regional Io Model Datamentioning
confidence: 99%
“…The most basic implementation of the distance method uses distance functions with finite weights for the overlapping variables (Decoster et al, 2020). To be precise, for a given record in the survey, the distance in the (selected) overlapping variables to every record in SMILE model is calculated.…”
Section: Sub-regional Io Model Datamentioning
confidence: 99%