Central Data Catalog

Citation Information

Type Conference Paper - 12 th National Convention on Statistics (NCS)
Title EBLUP Estimates of Poverty Incidence with Sampling Error Variances Estimated by a Genelalized Variance Function
Publication (Day/Month/Year) 2013
City Mandaluyong City
URL http://nscb.gov.ph/ncs/12thNCS/papers/INVITED/IPS-18 Small Area Estimation/IPS-18_1 EBLUP Estimates​of Poverty Incidence with Sampling Error Variances Estimated by a Generalized Variance Function.pdf
Small area estimation based on area level models, particularly the EBLUP method, typically assumes that sampling error variances of the direct survey small area estimates are known. In practice, the sampling error variances are unknown. In this paper we consider generating EBLUP estimates of poverty incidence when the sampling error variances are estimated using the generalized variance function (GVF) approach. The precision of the EBLUP estimates is determined using a modified version of the Prasad-Rao MSPE estimator. The modification is made by adding an extra term that would account the uncertainty associated with estimating the sampling error variances. The performance of the modified Prasad-Rao estimator relative to the commonly used Prasad-Rao estimator is evaluated through a simulation study. Results have shown that the modified Prasad-Rao MSPE estimator has relatively greater bias than the commonly used Prasad-Rao MSPE estimator particularly for small samples.

Related studies