Using spatial contiguity as prior information in vector autoregressive models
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- Xu Xiaojie, 2018. "Using Local Information to Improve Short-Run Corn Price Forecasts," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 16(1), pages 1-15, January.
- Matías Mayor & Roberto Patuelli, 2015.
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- MatÃas Mayor & Roberto Patuelli, 2013. "Spatial Panel Data Forecasting over Different Horizons, Cross-Sectional and Temporal Dimensions," ERSA conference papers ersa13p815, European Regional Science Association.
- M. Mayer & R. Patuelli, 2013. "Spatial Panel Data Forecasting over Different Horizons, Cross-Sectional and Temporal Dimensions," Working Papers wp899, Dipartimento Scienze Economiche, Universita' di Bologna.
- MatÃas Mayor & Roberto Patuelli, 2013. "Spatial Panel Data Forecasting over Different Horizons, Cross-Sectional and Temporal Dimensions," Working Paper series 50_13, Rimini Centre for Economic Analysis, revised Jan 2014.
- Todd Kuethe & Valerien Pede, 2011.
"Regional Housing Price Cycles: A Spatio-temporal Analysis Using US State-level Data,"
Regional Studies, Taylor & Francis Journals, vol. 45(5), pages 563-574.
- Kuethe, Todd H. & Pede, Valerien O., 2009. "Regional Housing Price Cycles: A Spatio-Temporal Analysis Using Us State Level Data," Working papers 47596, Purdue University, Department of Agricultural Economics.
- Owyang, Michael T. & Zubairy, Sarah, 2013.
"Who benefits from increased government spending? A state-level analysis,"
Regional Science and Urban Economics, Elsevier, vol. 43(3), pages 445-464.
- Michael T. Owyang & Sarah Zubairy, 2009. "Who benefits from increased government spending? a state-level analysis," Working Papers 2009-006, Federal Reserve Bank of St. Louis.
- Todd H. Kuethe & Valerien Pede, 2009. "Regional Housing Price Cycles: A Spatio-Temporal Analysis Using Us State Level," Working Papers 09-04, Purdue University, College of Agriculture, Department of Agricultural Economics.
- Matías Mayor & Roberto Patuelli, 2012.
"Short-Run Regional Forecasts: Spatial Models through Varying Cross-Sectional and Temporal Dimensions,"
Advances in Spatial Science, in: Esteban Fernández Vázquez & Fernando Rubiera Morollón (ed.), Defining the Spatial Scale in Modern Regional Analysis, edition 127, chapter 0, pages 173-192,
Springer.
- MatÃas Mayor & Roberto Patuelli, 2012. "Short-Run Regional Forecasts: Spatial Models through Varying Cross-Sectional and Temporal Dimensions," Working Paper series 15_12, Rimini Centre for Economic Analysis, revised Oct 2012.
- M. Mayor-Fern ndez & R. Patuelli, 2012. "Short-Run Regional Forecasts: Spatial Models through Varying Cross-Sectional and Temporal Dimensions," Working Papers wp835, Dipartimento Scienze Economiche, Universita' di Bologna.
- Marfatia Hardik A., 2021. "Modeling House Price Synchronization across the U.S. States and their Time-Varying Macroeconomic Linkages," Journal of Time Series Econometrics, De Gruyter, vol. 13(1), pages 73-117, January.
- Marco Percoco, 2007. "Evaluating forecasting accuracy of the temporally aggregated space-time autoregressive model," Applied Economics Letters, Taylor & Francis Journals, vol. 14(9), pages 637-641.
- 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.
- 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.
- 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.
- 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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