Abstract:
Risk-utility formulations for problems of statistical disclosure limitation are now common. We argue that these approaches are powerful guides to official statistics agencies in regard to how to think about disclosure limitation problems, but that they fall short in essential ways from providing a sound basis for acting upon the problems. We illustrate this position in three specific contexts—transparency, tabular data and survey weights, with shorter consideration of two key emerging issues—longitudinal data and the use of administrative data to augment surveys.
Keywords:
statistical disclosure limitation, risk-utility paradigm, disclosure risk, data utility, data quality, transparency, data swapping, tabular data, cell suppression, controlled rounding, survey weights, microaggregation
tr179_final.pdf