Work

Some theory for propensity-score-adjustment estimators in survey sampling

Year: 2012

Type: article

Abstract: The propensity-scoring-adjustment approach is commonly used to handle selection bias in survey sampling applications, including unit nonresponse and undercoverage. The propensity score is computed using auxiliary variables observed throughout the sample. We discuss some asymptotic properties of propensity-score-adjusted estimators and derive optimal estimators based on a regression model for the finite population. An optimal propensity-score-adjusted estimator can be implemented using an augmented propensity model. Variance estimation is discussed and the results from two simulation studies are presented.

Source: Iowa State University Digital Repository (Iowa State University)

Authors: Jae Kwang Kim, Minsun Riddles

Language: English

Topic: Survey Sampling and Estimation Techniques

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: green

Funders: U.S. Department of Agriculture, Iowa State University, Natural Resources Conservation Service

OpenAlex ID: W2146830724

FWCI: 0.587

Cites: 23

Cited by: 17

Related to: 10