All Rights Reserved
AccessEcon LLC 2006, 2008.
Powered by MinhViet JSC

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

  This abstract has been downloaded 2128 times                The Full PDF of this paper has been downloaded 154646 times