Minimax-regret sample design in anticipation of missing data, with application to panel data

@article{Dominitz2021MinimaxregretSD,
  title={Minimax-regret sample design in anticipation of missing data, with application to panel data},
  author={Jeff Dominitz and Charles F. Manski},
  journal={Journal of Econometrics},
  year={2021}
}
Abstract Missing data problems are ubiquitous in data collection. In surveys, these problems may arise from unit response, item nonresponse, and panel attrition. Building on the Dominitz and Manski (2017) study of choice between two or more sampling processes that differ in cost and quality, we study minimax-regret sample design in anticipation of missing data, where the collected data will be used for prediction under square loss of the values of functions of two variables. The analysis… Expand
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