Preprints are early versions of research articles that have not been peer reviewed. They should not be regarded as conclusive and should not be reported in news media as established information.
SMFH_SMR_preprint.docx (1.24 MB)

Small Area Estimation under Spatial Multivariate Fay–Herriot Model

Download (1.24 MB)
posted on 17.02.2021, 19:41 by hukum chandra, Saurav Guha
Spatial version of multivariate Fay–Herriot model is introduced and small area predictor under this model is proposed. The mean squared error (MSE) estimation of the proposed small area predictor is also developed. The empirical performance of the proposed small area predictor and the MSE estimator are evaluated through simulation studies. The empirical results clearly show that the proposed small area predictor outperforms the existing predictors. The proposed MSE estimator tracks the actual value of MSE reasonably well with acceptable coverage rate. An application to estimate the disparities in food and nutrition intake from the 2011–12 Household Consumer Expenditure Survey data collected by the national sample survey office of India is also presented.


Declaration of conflicts of interest

The authors declared that they have no conflict of interest.

Corresponding author email

Lead author country


Human Participants



Log in to write your comment here...

Usage metrics

Advance: Social Sciences & Humanities