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Abstract Details
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Activity Number:
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612
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Type:
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Topic Contributed
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Date/Time:
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Thursday, August 4, 2011 : 8:30 AM to 10:20 AM
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Sponsor:
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ENAR
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| Abstract - #300919 |
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Title:
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Using the DAG Jackknife to Measure the Variance of an Estimator in the Presence of Item Nonresponse
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Author(s):
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Darcy Miller*+ and Phil Kott
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Companies:
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National Agricultural Statistics Service and RTI International
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Address:
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3251 Old Lee Highway, Fairfax, VA, 20002,
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Keywords:
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Imputation ;
Jackknife ;
Item Nonresponse ;
Variance Estimation
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Abstract:
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The National Agricultural Statistics Service (NASS) uses the delete-a-group (DAG) jackknife to estimate variances and mean squared errors in many of its surveys, including the Agricultural Resource Management Survey (ARMS). The DAG jackknife provides nearly unbiased estimates under a host of complex designs and processes. It involves breaking the sample of unit respondents into T (T= 15 or 30) groups and then sequentially deleting each group from the sample, leaving T replicate groups. Then T sets of replicate weights are created, and T replicate estimates are calculated using these weights. The DAG jackknife estimator is the sum of the squared differences between the T replicate estimates and the original estimate (entire sample) multiplied by (T-1)/T. Although the DAG jackknife currently accounts for unit nonresponse, item imputations are treated as real reported values. We explore usi
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