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Title An imputation approach for analyzing mixed-mode surveys
Year 2013
Access date 07.07.2013

Mixed-mode surveys are frequently used to improve the survey participation but statistical tools for analyzing mixed-mode survey data are relatively underdeveloped. Motivated by a real survey in Korea, we consider an imputation approach to handling mixed-mode surveys. The proposed method uses measurement error models to explain the mode effects and then imputation is to predict the counterfactual potential outcome in the measurement error model. The model parameters are estimated using the method of parametric fractional imputation of Kim (2011). The proposed method is applied to the survey of private education expenses in Korea.

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Year of publication2013
Bibliographic typeConferences, workshops, tutorials, presentations
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