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A Bayesian heterogeneous coefficients spatial autoregressive panel data model of retail fuel price rivalry
Lesage, James P.; Vance, Colin; Chih, Yao-Yu - 2016
likelihood estimation method set forth by Aquaro, Bailey and Pesaran (2015), we rely on a Markov Chain Monte Carlo (MCMC …) estimation methodology. MCMC estimates as applied here with non-informative priors will produce estimates equal to those from …
Persistent link: https://www.econbiz.de/10011460317
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Bayesian model averaging for spatial econometric models
Lesage, James P. (contributor); Parent, Olivier (contributor) - 2007
Persistent link: https://www.econbiz.de/10003732585
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Misspecification in linear spatial regression models
Florax, Raymond J. G. M.; Nijkamp, Peter - 2003
. Spatial econometrics focuses on the specification and estimation of regression models explicitly incorporating such spatial …, referring to both heterogeneity and interdependence of phenomena occurring in two-dimensional space. Spatial autocorrelation or …
Persistent link: https://www.econbiz.de/10011334352
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Forecasting regional labour market developments under spatial heterogeneity and spatial autocorrelation
Longhi, Simonetta; Nijkamp, Peter - 2005
error models – to correct for misspecification due to neglected spatial autocorrelation in the data set. Our empirical … spatial structure that is required for the estimation of spatial models improves the forecasting performance of non …
Persistent link: https://www.econbiz.de/10011343272
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Assessment of a spatial panel model for the efficiency analysis of the heterogonous healthcare systems in the world
Jeleskovic, Vahidin; Schwanebeck, Benjamin - 2012
. It was possible to determine a significant spatial autocorrelation. Therefore one have to consider these spatial … effects ; production of health ; efficiency measurement ; heterogeneity ; spatial effects ; spatial autocorrelation …
Persistent link: https://www.econbiz.de/10009738033
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Smooth transition spatial autoregressive models
Andree, Bo Pieter Johannes; Blasques, Francisco; … - 2017
geometric ergodicity of the model. Simulation results justify the use of limit theory in empirically relevant settings. The …
Persistent link: https://www.econbiz.de/10011658755
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Spatial model selection and spatial knowledge spillovers : a regional view of Germany
Klarl, Torben - 2010
for spatial heterogeneity. In particular, Bayesian and Maximum-Likelihood (ML) estimation methods are employed for model … estimation can be achieved by controlling for both phenomena. -- Spatial econometrics ; Bayesian spatial econometrics ; Spatial …
Persistent link: https://www.econbiz.de/10003922966
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Interpretation of structural parameters for models with spatial autoregression
Pietrzak, Michał Bernard - 2013
The main purpose of the article is to consider a important issue of spatial econometrics which is a proper interpretation of structural parameters of econometric models with spatial autoregression. The problem will be considered based on the example of the spatial SAR model. Another purpose of...
Persistent link: https://www.econbiz.de/10011997008
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A Bayesian spatial individual effects probit model of the 2010 UK general election
Jensen, Christa D.; Lacombe, Donald J.; McIntyre, Stuart - 2012
Persistent link: https://www.econbiz.de/10009573918
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Efficient estimation of spatial econometric interaction models for sparse OD matrices
Dargel, Lukas; Thomas-Agnan, Christine - 2023
Persistent link: https://www.econbiz.de/10013543107