GENERALIZED BAYES ESTIMATION OF SPATIAL AUTOREGRESSIVE MODELS
GENERALIZED BAYES ESTIMATION OF SPATIAL AUTOREGRESSIVE MODELS
Author(s): Anoop Chaturvedi, Sandeep MishraSubject(s): Socio-Economic Research
Published by: Główny Urząd Statystyczny
Keywords: spatial autoregressive model; prior and posterior distributions; generalized Bayes estimator; admissibility and minimaxity; total fertility rate (TFR)
Summary/Abstract: The spatial autoregressive (SAR) models are widely used in spatial econometrics for analyzing spatial data involving spatial autocorrelation structure. The present paper derives a Generalized Bayes estimator for estimating the parameters of a SAR model. The admissibility and minimaxity properties of the estimator have been discussed. For investigating the finite sample behaviour of the estimator, the results of a simulation study have been presented. The results of the paper are applied to demographic data on total fertility rate for selected Indian states.
Journal: Statistics in Transition. New Series
- Issue Year: 20/2019
- Issue No: 2
- Page Range: 15-32
- Page Count: 18
- Language: English
