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Kazuhiko Kakamu
 
''Bayesian Estimation of A Distance Functional Weight Matrix Model''
( 2005, Vol. 3 No.57 )
 
 
This paper considers the distance functional weight matrix in spatial autoregressive and spatial error models from a Bayesian point of view. We considered the Markov chain Monte Carlo methods to estimate the parameters of the models. Our approach is illustrated with simulated data set.
 
 
Keywords: Distance functional Weight matrix
JEL: C1 - Econometric and Statistical Methods: General
C2 - Single Equation Models; Single Variables: General
 
Manuscript Received : Dec 25 2005 Manuscript Accepted : Dec 27 2005

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