presentation - VirtualRDC @ Cornell - Cornell University

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Protection by Imputation ■ no actual confidential micro-data measured at the establishment level in QWI ■ workplace characteristics ( geography, industry) are multiply-imputed for multi-unit employers ➜ these establishments are protected by a form of synthetic data. August 10, 2005 - p. 17/31
Protection Table 1: Small Cells: B, Raw vs. Weighted (a) Illinois Weighted count Unweighted 5 or count 0 1 2 3 4 more 0 99.33 0.66 0.00 0.00 0.00 0.00 1 0.10 96.76 3.13 0.00 0.00 0.00 2 0.01 2.00 84.68 13.26 0.04 0.01 3 0.01 0.01 3.42 75.72 20.26 0.59 4 0.00 0.00 0.01 4.49 67.62 27.87 5 or more 0.00 0.00 0.00 0.01 0.59 99.39 Total number of cells: 14,229,968 . For details, see text. August 10, 2005 - p. 18/31
Page 1 and 2: GoBack
Page 3 and 4: Introduction ■ We will describe t
Page 5 and 6: Protection provided ■ In general,
Page 7 and 8: Three-layer confidentiality protect
Page 9 and 10: Three-layer confidentiality protect
Page 11 and 12: Distribution of Fuzz Factors 0 0 2
Page 13 and 14: Distorting ratios Ratios are distor
Page 15 and 16: Item suppression ■ Some disclosur
Page 17: Protection by Weighting ■ QCEW 1,
Page 21 and 22: Protection Table 3: Small Cells: B,
Page 23 and 24: Distribution of the Error in the Fi
Page 29 and 30: Cross-sectional unbiasedness: B Fra
Page 31 and 32: Conclusion ■ First large-scale im

presentation - VirtualRDC @ Cornell - Cornell University

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