Using spatial contiguity as prior information in vector autoregressive models
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Thomas Doan & Robert B. Litterman & Christopher A. Sims, 1983.
"Forecasting and Conditional Projection Using Realistic Prior Distributions,"
NBER Working Papers
1202, National Bureau of Economic Research, Inc.
- Thomas Doan & Robert B. Litterman & Christopher A. Sims, 1986. "Forecasting and conditional projection using realistic prior distribution," Staff Report 93, Federal Reserve Bank of Minneapolis.
CitationsCitations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
- Matías Mayor & Roberto Patuelli, 2015.
"Spatial panel data forecasting over different horizons, cross-sectional and temporal dimensions,"
Revue d'économie régionale et urbaine,
Armand Colin, vol. 0(1), pages 149-180.
- 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,"
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.
- 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-Fernández & 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.
- 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.
- 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.
More about this item
StatisticsAccess and download statistics
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecolet:v:47:y:1995:i:2:p:137-142. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Haili He). General contact details of provider: http://www.elsevier.com/locate/ecolet .
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.