Data editing: detection and correction of errors

Both surveys and registrations nearly always contain errors. If these errors result in bias in the results, it is in the interest of Statistics Netherlands to detect and correct them. Error detection is also important to gain an insight into the quality of the data sources, observation and processing. This report discusses methods to detect and correct errors automatically, and methods to select records that should preferably be corrected manually (selective and macro-editing).