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- W2477021898 abstract "Model-based methods, such as small area estimators, have to be considered for improving the accuracy of the statistics of interest. This chapter examines a study whose aim is to investigate small area methods for estimating the at-risk-of-poverty rate (ARPR), as one of the most widely used poverty measures. The chapter first discusses the concurring sampling designs. The choice can be considered as a set of Statistics on Income and Living Conditions (SILC) sampling plans. Next, the chapter depicts the different estimators of interest. The study allows recommendations to be given for an adequate use of the methods in the context of official applications not using a rich set of register data. Finally, the chapter presents a summary of the findings and presents an outlook on further research topics." @default.
- W2477021898 created "2016-08-23" @default.
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- W2477021898 date "2016-01-01" @default.
- W2477021898 modified "2023-09-27" @default.
- W2477021898 title "Impact of Sampling Designs in Small Area Estimation with Applications to Poverty Measurement" @default.
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- W2477021898 doi "https://doi.org/10.1002/9781118814963.ch5" @default.
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