EconPapers    
Economics at your fingertips  
 

Model uncertainty in matrix exponential spatial growth regression models

Manfred Fischer and Philipp Piribauer ()

No 158, Department of Economics Working Paper Series from WU Vienna University of Economics and Business

Abstract: This paper considers the problem of model uncertainty associated with variable selection and specification of the spatial weight matrix in spatial growth regression models in general and growth regression models based on the matrix exponential spatial specification in particular. A natural solution, supported by formal probabilistic reasoning, is the use of Bayesian model averaging which assigns probabilities on the model space and deals with model uncertainty by mixing over models, using the posterior model probabilities as weights. This paper proposes to adopt Bayesian information criterion model weights since they have computational advantages over fully Bayesian model weights. The approach is illustrated for both identifying model covariates and unveiling spatial structures present in pan-European growth data.

Keywords: model comparison; model uncertainty; spatial Durbin matrix exponential growth models; spatial weight structures; European regions (search for similar items in EconPapers)
Date: 2013-10
References: Add references at CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
https://epub.wu.ac.at/4013/ original version (application/pdf)

Related works:
Working Paper: Model uncertainty in matrix exponential spatial growth regression models (2014) Downloads
Working Paper: Model uncertainty in matrix exponential spatial growth regression models (2013) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wiw:wus005:4013

Access Statistics for this paper

More papers in Department of Economics Working Paper Series from WU Vienna University of Economics and Business Welthandelsplatz 1, 1020 Vienna, Austria.
Bibliographic data for series maintained by WU Library ().

 
Page updated 2020-01-11
Handle: RePEc:wiw:wus005:4013