The specific goals of this research will be to (1) analyze the effect of benchmarks and analytic survey estimates that are biased due to coverage errors with extensions done for general regression (GREG) estimators and other calibration estimators; (2) develop variance estimators for GREG and other calibration estimators that account for estimated benchmarks and undercoverage by sample frames; (3) develop some practical rules for determining whether estimated benchmarks are too variable to be worth using; and (4) illustrate theoretical findings via simulation studies based on real survey data sets.
Funding:
National Science Foundation
Funding Period:
09/15/2009 to 08/31/2014