Nonresponse weighting adjustment using estimated response probability
By Jae Kwang Kim, Jay-J. Kim. 2007
100 citations recorded by the source corpus.
Subfields: Sociology and Political Science, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/f43d4c523451d97219ea4d012cf6537edf1f60e0
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Sociology and Political Science
In Statistics and Probability
- David Haziza
- Xiao-Li Meng
- Jae Kwang Kim
- Zhiqiang Tan
- Andrew Gelman
- James P. Hobert
- Changbao Wu
- Yilin Chen
Citations in the corpus
- Statistical paradises and paradoxes in big data (I): Law of large populations, big data paradox, and the 2016 US presidential election (2018, background): “But it is rarely possible to do so when the weights themselves are subject to errors, typically much larger than O(N−1) for large N [see Kim and Kim (2007), Kim and Riddles (2012)].”
- Doubly robust inference with missing data in survey sampling (2014, background): “As discussed in Kim and Kim (2007) and Kim and Riddles (2012), the choice of φ̂MLE does not necessarily lead to the optimal propensity score estimators.”