论文信息 - Using Calibration Weighting to Adjust for Nonresponse and Coverage Errors

Using Calibration Weighting to Adjust for Nonresponse and Coverage Errors

Calibration weighting can be used to adjust for unit nonresponse and/or coverage errors under appropriate quasi randomization models. Alternative calibration adjustments that are asymptotically identical in a purely sampling context can diverge when used in this manner. Introducing instrumental variables into calibration weighting makes it possible for nonresponse (say) to be a function of a set of characteristics other than those in the calibration vector. When the calibration adjustment has a nonlinear form, a variant of the jackknife can remove the need for iteration in variance estimation.

P. Kott

[1] W. Deming,et al. On a Least Squares Adjustment of a Sampled Frequency Table When the Expected Marginal Totals are Known , 1940 .

[2] R. Little. Survey Nonresponse Adjustments for Estimates of Means , 1986 .

[3] Carl-Erik Särndal,et al. The weighted residual technique for estimating the variance of the general regression estimator of the finite population total , 1989 .

[4] P. Kott. Estimating the conditional variance of a design consistent regression estimator , 1990 .

[5] C. Särndal,et al. Calibration Estimators in Survey Sampling , 1992 .

[6] Phillip Kott. A note on handling nonresponse in surveys , 1994 .

[7] Carl-Erik Särndal,et al. Model Assisted Survey Sampling , 1997 .

[8] C. Särndal,et al. A Functional Form Approach to Calibration , 2000 .

[9] P. Kott,et al. Developing A Coverage Adjustment Strategy for the 2002 Census of Agriculture , 2002 .

[10] W. Fuller. Regression Estimation for Survey Samples , 2002 .

[11] P. Kott. Randomization-assisted model-based survey sampling , 2005 .