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  • Statistics In Transition

 

Article | 06-July-2017

SMALL AREA ESTIMATION OF INCOME UNDER SPATIAL SAR MODEL

Jan Kubacki, Alina Jędrzejczak

Statistics in Transition New Series, Volume 17 , ISSUE 3, 365–390

Article | 22-July-2019

GENERALIZED BAYES ESTIMATION OF SPATIAL AUTOREGRESSIVE MODELS

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

Anoop Chaturvedi, Sandeep Mishra

Statistics in Transition New Series, Volume 20 , ISSUE 2, 15–31

Article | 06-July-2017

MODELLING ROAD TRAFFIC CRASHES USING SPATIAL AUTOREGRESSIVE MODEL WITH ADDITIONAL ENDOGENOUS VARIABLE

Road traffic crashes have become a global issue of concern because of the number of deaths and injuries. The model of interest is a linear cross sectional Spatial Autoregressive (SAR) model with additional endogenous variables, exogenous variables and SAR disturbances. The focus is on RTC in Oyo state, Nigeria. The number of RTC in each LGA of the state is the dependent variable. A 33×33 weights matrix; travel density; land area and major road length of each LGA were used as exogenous variables

Olusanya Elisa Olubusoye, Grace Oluwatoyin Korter, Afees Adebare Salisu

Statistics in Transition New Series, Volume 17 , ISSUE 4, 659–670

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