Evaluation of Proposed County‐Level Interval Publication of ES‐202 Employment Data

Timothy Li


According to the proposed changes to ES-202 publication policy for aggregate employment data where suppressed cells are published in pre-determined ranges, we found replacing primary and complementary suppression cells selected under current methodology with pre-determined ranges could narrow the intruder estimation of individual establishment employment levels in the cells that may pose confidentiality exposure risks. Current theoretical knowledge and techniques for selecting complementary suppression cells do not provide a direct solution. Neither any solution such that the information loss due to range publication is minimized while satisfying confidentiality protection rules exists. In this research, we evaluate a heuristically feasible method using currently available complementary suppression cell selection software Disclosure Analysis (DiAna) and list our findings by applying the heuristic to a subset of a ES-202 data set.