W-based versus latent variables spatial autoregressive models: evidence from Monte Carlo simulations
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Bibliographic InfoArticle provided by Springer in its journal The Annals of Regional Science.
Volume (Year): 47 (2011)
Issue (Month): 3 (December)
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Web page: http://link.springer.de/link/service/journals/00168/index.htm
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Find related papers by JEL classification:
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
- C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
- R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods
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- Henk Folmer & Johan Oud, 2008. "How to get rid of W: a latent variables approach to modelling spatially lagged variables," Environment and Planning A, Pion Ltd, London, vol. 40(10), pages 2526-2538, October.
- L W Hepple, 1995. "Bayesian techniques in spatial and network econometrics: 1. Model comparison and posterior odds," Environment and Planning A, Pion Ltd, London, vol. 27(3), pages 447-469, March.
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