A pseudo‐empirical best linear unbiased prediction approach to small area estimation using survey weights

By Yong-Hwan You, J. Rao. 2002

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New important developments in small area estimation (2013, methodology): “You and Rao (2002) achieve “automatic benchmarking” for the unit level model (5.3) by changing the estimator of β. Wang, Fuller and Qu (2008) consider a similar procedure for the area level model.”
Model Selection by Testing for the Presence of Small-Area Effects, and Application to Area-Level Data (2011, background): “Important exceptions include Pfeffermann et al. (1998), Prasad and Rao (1999), and You and Rao (2002, 2003).”
Mixed model prediction and small area estimation (2006, methodology): “See You and Rao (2002) for an extension of Prasad and Rao (1999), where they achieved the desirable benchmarking properties of their pseudo-EBLUP.”
Small Area Estimation (2003, methodology): “More sophisticated methods are needed (You and Rao 2002).”