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Analysis of spatial contiguity influences on state price level formation

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  • Dowd, Michael R.
  • LeSage, James P.

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  • Dowd, Michael R. & LeSage, James P., 1997. "Analysis of spatial contiguity influences on state price level formation," International Journal of Forecasting, Elsevier, vol. 13(2), pages 245-253, June.
    • Handle: RePEc:eee:intfor:v:13:y:1997:i:2:p:245-253
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    References listed on IDEAS

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    1. LeSage, James P. & Magura, Michael, 1991. "Using interindustry input-output relations as a Bayesian prior in employment forecasting models," International Journal of Forecasting, Elsevier, vol. 7(2), pages 231-238, August.
    2. Lesage, James P., 1989. "Incorporating regional wage relations in local forecasting models with a Bayesian prior," International Journal of Forecasting, Elsevier, vol. 5(1), pages 37-47.
    3. James P. LeSage & Zheng Pan, 1995. "Using Spatial Contiguity as Bayesian Prior Information in Regional Forecasting Models," International Regional Science Review, , vol. 18(1), pages 33-53, January.
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    Cited by:

    1. Jaqueson K. Galimberti, 2020. "Forecasting GDP Growth from Outer Space," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(4), pages 697-722, August.
    2. Théophile Azomahou, 2008. "Minimum distance estimation of the spatial panel autoregressive model," Cliometrica, Journal of Historical Economics and Econometric History, Association Française de Cliométrie (AFC), vol. 2(1), pages 49-83, April.
    3. David M. Drukker & Peter Egger & Ingmar R. Prucha, 2013. "On Two-Step Estimation of a Spatial Autoregressive Model with Autoregressive Disturbances and Endogenous Regressors," Econometric Reviews, Taylor & Francis Journals, vol. 32(5-6), pages 686-733, August.
    4. James LeSage & Bryce Cashell, 2015. "A comparison of vector autoregressive forecasting performance: spatial versus non-spatial Bayesian priors," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 54(2), pages 533-560, March.
    5. Michelle T. Bensi & David C. Black & Michael R. Dowd, 2004. "The Education/Growth Relationship: Evidence from Real State Panel Data," Contemporary Economic Policy, Western Economic Association International, vol. 22(2), pages 281-298, April.
    6. Kapoor, Mudit & Kelejian, Harry H. & Prucha, Ingmar R., 2007. "Panel data models with spatially correlated error components," Journal of Econometrics, Elsevier, vol. 140(1), pages 97-130, September.
    7. Pei Li, 2008. "Metropolitan economic growth and spatial dependence: Evidence from a panel of China," Psychometrika, Springer;The Psychometric Society, vol. 3(2), pages 277-295, June.
    8. Rangan Gupta, 2009. "Bayesian Methods Of Forecasting Inventory Investment," South African Journal of Economics, Economic Society of South Africa, vol. 77(1), pages 113-126, March.
    9. Kelejian, Harry H. & Prucha, Ingmar R., 2007. "HAC estimation in a spatial framework," Journal of Econometrics, Elsevier, vol. 140(1), pages 131-154, September.
    10. Víctor Hugo Torres Preciado, 2017. "Desempleo y criminalidad en los estados de la frontera norte de México: un enfoque espacial bayesiano de vectores auto-regresivos. (Unemployment and crime in the Northern-border states of Mexico: a sp," Ensayos Revista de Economia, Universidad Autonoma de Nuevo Leon, Facultad de Economia, vol. 0(1), pages 25-58, May.
    11. Beckworth, David, 2010. "One nation under the fed? The asymmetric effects of US monetary policy and its implications for the United States as an optimal currency area," Journal of Macroeconomics, Elsevier, vol. 32(3), pages 732-746, September.
    12. Theophile Azomahou, 1999. "Estimation of Spatial Panel-Data Models Using a Minimum-Distance Estimator," Computing in Economics and Finance 1999 1322, Society for Computational Economics.
    13. Dan S. Rickman & Steven R. Miller & Russell McKenzie, 2009. "Spatial and sectoral linkages in regional models: A Bayesian vector autoregression forecast evaluation," Papers in Regional Science, Wiley Blackwell, vol. 88(1), pages 29-41, March.

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