Campus Units

Statistics

Document Type

Book Chapter

Publication Version

Submitted Manuscript

Publication Date

2019

Journal or Book Title

The Econometrics of Complex Survey Data: Theory and Applications

Volume

39

First Page

209

Last Page

234

DOI

10.1108/S0731-905320190000039012

Abstract

Nearest neighbor imputation has a long tradition for handling item nonresponse in survey sampling. In this article, we study the asymptotic properties of the nearest neighbor imputation estimator for general population parameters, including population means, proportions and quantiles. For variance estimation, we propose novel replication variance estimation, which is asymptotically valid and straightforward to implement. The main idea is to construct replicates of the estimator directly based on its asymptotically linear terms, instead of individual records of variables. The simulation results show that nearest neighbor imputation and the proposed variance estimation provide valid inferences for general population parameters.

Comments

This is a manuscript of a chapter from Yang, S. and Kim, J. (2019), "Nearest Neighbor Imputation for General Parameter Estimation in Survey Sampling", The Econometrics of Complex Survey Data (Advances in Econometrics, Vol. 39), Emerald Publishing Limited, pp. 209-234. doi: 10.1108/S0731-905320190000039012. Posted with permission.

Copyright Owner

Emerald Publishing Limited

Language

en

File Format

application/pdf

Published Version

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