We propose two methods for benchmarking the observed best predictor (OBP; Jiang et al.[ 1 ]) in small area estimation under the Fay-Herriot model. Furthermore, we propose two methods for estimating the mean squared prediction error (MSPE) of the benchmarked OBP. Theoretical and empirical properties of the benchmarked OBP as well as its MSPE estimators are studied. A real-data example is considered. AMS Subject Classification: 62J05

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