Preserving the distribution function in surveys in case of imputation for zero inflated data

Abstract : Item non-response in surveys is usually handled by single imputation, whose main objective is to reduce the non-response bias. Imputation methods need to be adapted to the study variable. For instance, in business surveys, the interest variables often contain a large number of zeros. Motivated by a mixture regression model, we propose two imputation procedures for such data and study their statistical properties. We show that these procedures preserve the distribution function if the imputation model is well specified. The results of a simulation study illustrate the good performance of the proposed methods in terms of bias and mean square error.
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https://hal.archives-ouvertes.fr/hal-01879234
Contributor : Guillaume Chauvet <>
Submitted on : Saturday, September 22, 2018 - 4:08:17 PM
Last modification on : Friday, November 16, 2018 - 1:31:46 AM
Long-term archiving on : Sunday, December 23, 2018 - 1:19:07 PM

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  • HAL Id : hal-01879234, version 1
  • ARXIV : 1809.08872

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Guillaume Chauvet, Brigitte Gelein. Preserving the distribution function in surveys in case of imputation for zero inflated data. 2018. ⟨hal-01879234v1⟩

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