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Recent Developments in Dealing with Item Non‐response in Surveys: A Critical Review

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  • Sixia Chen
  • David Haziza

Abstract

The most common way for treating item non‐response in surveys is to construct one or more replacement values to fill in for a missing value. This process is known as imputation. We distinguish single from multiple imputation. Single imputation consists of replacing a missing value by a single replacement value, whereas multiple imputation uses two or more replacement values. This article reviews various imputation procedures used in National Statistical Offices as well as the properties of point and variance estimators in the presence of imputed survey data. It also provides the reader with newer developments in the field.

Suggested Citation

  • Sixia Chen & David Haziza, 2019. "Recent Developments in Dealing with Item Non‐response in Surveys: A Critical Review," International Statistical Review, International Statistical Institute, vol. 87(S1), pages 192-218, May.
    • Handle: RePEc:bla:istatr:v:87:y:2019:i:s1:p:s192-s218
    DOI: 10.1111/insr.12305
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    Cited by:

    1. Clement Karani Mbore & Jane Sang & Joyce Komen, 2019. "Management control system, organizational processes and institutional performance of technical training institutions in Kenya," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 8(6), pages 229-239, October.
    2. Danhyang Lee & Jae Kwang Kim, 2022. "Semiparametric imputation using conditional Gaussian mixture models under item nonresponse," Biometrics, The International Biometric Society, vol. 78(1), pages 227-237, March.
    3. Van Opstal, Wim & Smeets, Anse, 2023. "When do circular business models resolve barriers to residential solar PV adoption? Evidence from survey data in flanders," Energy Policy, Elsevier, vol. 182(C).

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