1. Quality assurance surveys and program administration – when accuracy really counts Stephen Horn Contributed paper Q2008

2. outline Quality assurance surveys in context –Regulating risk –Fraud and error in social security systems –Measuring payment accuracy Random Sample Surveys –Design –Quality assurance –Estimation & Reporting Issues –Exploiting an Admin frame –Kalman filtering –SE estimation of variables with highly skewed distributions –Performance measures [kpis, correctness/accuracy, latency measures] –Audit oversight – the construction of official statistics

4. Accountability for Social Security payments

6. STRATIFICATION & SAMPLE ALLOCATION

8. SAMPLE DESIGN – REMOTE CLUSTER FORMATION

9. CLUSTERING METHODOLOGY

10. SAMPLE SURVEY PROCESS MAP – RSS REVIEWS

11. RANDOM REVIEW RESULTS SYSTEM

12. SURVEY-ADMIN DATA LINKAGE MAP

13. DATASET 1 – CUSTOMER LINK IRS TO ADMIN DATA

14. DATASET 3 – DEBT ANALYSIS LINKED TO DMIS

15. DATASET 4 – VARIABLE RESULTS FOR RRRS

16. INDEBTEDNESS BY PROGRAM

17. LATENT INDEBTEDNESS – RECENCY OF DEBT

18. DEBTS – KEY PREVENTION INDICATOR

19. LATENT AND RAISED SERIES – AVERAGE DEBT SIZE

20. PAY INACCURACY – LATENT MEASURES

21. PAYMENT INACCURACY – MOVING AGGREGATES

22. POINT PAYMENT ACCURACY

23. CUSTOMERS PAID ACCURATELY

24. MOVING AGGREGATE