Using machine learning to impute legal status of immigrants in the National Health Interview Survey

Using machine learning to impute legal status of immigrants in the National Health Interview Survey

We describe a novel machine learning method of imputing legal status for immigrants using nationally representative survey data from the Survey of Income and Program Participation (SIPP) and the National Health Interview Survey (NHIS). K-nearest Neighbor (KNN) classifier and Random Forest (RF) Algor...

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Bibliographic Details
Main Authors:	Simon A. Ruhnke, Fernando A. Wilson, Jim P. Stimpson
Format:	Article
Language:	English
Published:	Elsevier 2022-01-01
Series:	MethodsX
Subjects:	Random Forest machine learning
Online Access:	http://www.sciencedirect.com/science/article/pii/S221501612200228X

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