50 likes | 69 Vues
This study evaluates error detection in score functions for Annual Structural Business Statistics by Statistics Netherlands, comparing results with other studies and optimizing parameters to improve accuracy. Findings show undetected error differences across block and ratio score functions, emphasizing the simplicity of score functions and the importance of quality reference values.
E N D
Evaluation of score functions for selective editing of Annual Structural Business Statistics Jeffrey Hoogland Statistics Netherlands WP. 42
Selective editing • Select records for manual editing that are likely to contain influential errors
Score functions • Distance between observed values and reference values of variables • Influence of record on publication totals • Block score functions • Monitor block of variables in questionnaire • Assess risk and influence of values of variables • Ratio score functions • Monitor ratios of key variables in questionnaire • Assess risk of ratios
Aims of evaluation study • Evaluate error detection of current and earlier score functions for ASBS of Statistics Netherlands • Compare results with other evaluation studies • Learn how to optimize parameters of score functions
Conclusions • Are there structural differences in the size of undetected errors across score functions? • No: - between block score functions • - between ratio score functions • Yes: - between block and ratio score functions • dependent on the variable • Keep score functions simple • Quality of reference values plays a crucial role