Using Calibration Weighting to Adjust for Nonresponse Under a Plausible Model (with full appendices)

By Ted Chang, Phillip S. Kott. 2007

127 citations recorded by the source corpus.

Subfields: Sociology and Political Science, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/1e9a4ce483f40ef816f67b91429653c5030dd2eb

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

1. David Haziza
2. Jae Kwang Kim
3. Sheng Wang
4. Kosuke Morikawa
5. J. Brick
6. Jun Shao
7. Yutaka Kano
8. Shu Yang

In Statistics and Probability

1. Kosuke Morikawa
2. Yutaka Kano
3. Jae Kwang Kim
4. David Haziza
5. Jun Shao
6. Sheng Wang
7. J. Brick
8. Shu Yang

Citations in the corpus

• Semiparametric maximum likelihood estimation with data missing not at random (2017, methodology): “Chang & Kott (2008) and Wang, Shao, & Kim (2014) considered generalized method of moments estimation using a response mechanism only, but their method is generally less efficient than the likelihood-based one.”
• An Instrumental Variable Approach for Identification and Estimation with Nonignorable Nonresponse (2014, methodology): “For ignorable nonresponse, the parameters in P (δ = 1|y,x) can be consistently estimated using observed data; see, for example, Nevo (2003) and Chang and Kott (2008).”
• Unit Nonresponse and Weighting Adjustments: A Critical Review (2013, background): “Details on specific nonresponse adjustment techniques are covered in several articles and texts, including Särndal and Lundström (2005), Kalton and Flores-Cervantes (2003), Chang and Kott (2008), Brick and Montaquila (2009), and Bethlehem et al. (2011).”
• Propensity Score Weighting for Causal Inference with Clustered Data (2017, methodology): “In survey sampling, calibration is widely used to integrate auxiliary information in esti- mation or handle nonresponse; see, e.g., Wu and Sitter (2001), Chen et al. (2002), Kott (2006), Chang and Kott (2008) and Kim et al. (2016).”
• Doubly robust inference with missing data in survey sampling (2014, background): “3) was considered by Folsom (1991), Iannacchione, Milne, and Folsom (1991), and Chang and Kott (2008) in the context of unit nonresponse in survey sampling.”