Corpus ID: 203593651

A Longitudinal Framework for Predicting Nonresponse in Panel Surveys

@article{Kern2019ALF,
  title={A Longitudinal Framework for Predicting Nonresponse in Panel Surveys},
  author={C. Kern and B. Weiss and J. Kolb},
  journal={ArXiv},
  year={2019},
  volume={abs/1909.13361}
}
  • C. Kern, B. Weiss, J. Kolb
  • Published 2019
  • Computer Science, Mathematics
  • ArXiv
  • Nonresponse in panel studies can lead to a substantial loss in data quality due to its potential to introduce bias and distort survey estimates. Recent work investigates the usage of machine learning to predict nonresponse in advance, such that predicted nonresponse propensities can be used to inform the data collection process. However, predicting nonresponse in panel studies requires accounting for the longitudinal data structure in terms of model building, tuning, and evaluation. This study… CONTINUE READING
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