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Citations for "Aggregation of Space-Time Processes"

by Raffaella Giacomini & Clive W.J. Granger

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  1. Paulauskas, Vygantas, 2007. "On unit roots for spatial autoregressive models," Journal of Multivariate Analysis, Elsevier, vol. 98(1), pages 209-226, January.
  2. Kamarianakis, Yiannis & Prastacos, Poulicos, 2002. "Space-time modeling of traffic flow," ERSA conference papers ersa02p141, European Regional Science Association.
  3. Alberto Baffigi & Roberto Golinelli & Giuseppe Parigi, 2002. "Real-time GDP forecasting in the euro area," Temi di discussione (Economic working papers) 456, Bank of Italy, Economic Research and International Relations Area.
  4. Bhattacharjee, Arnab & Holly, Sean, 2009. "Understanding Interactions in Social Networks and Committees," SIRE Discussion Papers 2009-53, Scottish Institute for Research in Economics (SIRE).
  5. Michael Beenstock & Daniel Felsenstein, 2010. "Spatial error correction and cointegration in nonstationary panel data: regional house prices in Israel," Journal of Geographical Systems, Springer, vol. 12(2), pages 189-206, June.
  6. Bhattacharjee, A. & Holly, S., 2010. "Structural Interactions in Spatial Panels," Cambridge Working Papers in Economics 1004, Faculty of Economics, University of Cambridge.
  7. Baltagi, Badi H., 2006. "Forecasting with panel data," Discussion Paper Series 1: Economic Studies 2006,25, Deutsche Bundesbank, Research Centre.
  8. Hernandez-Murillo, Ruben & Owyang, Michael T., 2006. "The information content of regional employment data for forecasting aggregate conditions," Economics Letters, Elsevier, vol. 90(3), pages 335-339, March.
  9. Helena Marques & Gabriel Pino & J.D.Tena, 2009. "Regional inflation dynamics using space-time models," DEA Working Papers 40, Universitat de les Illes Balears, Departament d'Economía Aplicada.
  10. Auffhammer, Maximilian & Carson, Richard Taylor, 2004. "Forecasting the path of China's CO2 emissions using province level information," CUDARE Working Paper Series 0971, University of California at Berkeley, Department of Agricultural and Resource Economics and Policy, revised 2007.
  11. Pesaran, M. Hashem & Chudik, Alexander, 2014. "Aggregation in large dynamic panels," Journal of Econometrics, Elsevier, vol. 178(P2), pages 273-285.
  12. You, Jing, 2013. "China's challenge for decarbonized growth: Forecasts from energy demand models," Journal of Policy Modeling, Elsevier, vol. 35(4), pages 652-668.
  13. Shi, Xiaoxia & Phillips, Peter C.B., 2012. "Nonlinear Cointegrating Regression Under Weak Identification," Econometric Theory, Cambridge University Press, vol. 28(03), pages 509-547, June.
  14. Arnab Bhattacharjee & Eduardo Castro & Jo�o Marques, 2012. "Spatial Interactions in Hedonic Pricing Models: The Urban Housing Market of Aveiro, Portugal," Spatial Economic Analysis, Taylor & Francis Journals, vol. 7(1), pages 133-167, March.
  15. Frédérick Demers & David Dupuis, 2005. "Forecasting Canadian GDP: Region-Specific versus Countrywide Information," Working Papers 05-31, Bank of Canada.
  16. Duo Qin & Marie Anne Cagas & Geoffrey Ducanes & Nedelyn Magtibay-Ramos & Pilipinas F. Quising, 2006. "Measuring Regional Market Integration by Dynamic Factor Error Correction Model (DF-ECM) Approach - The Case of Developing Asia," Working Papers 565, Queen Mary University of London, School of Economics and Finance.
  17. Lee, Lung-fei & Yu, Jihai, 2015. "Estimation of fixed effects panel regression models with separable and nonseparable space–time filters," Journal of Econometrics, Elsevier, vol. 184(1), pages 174-192.
  18. Patrick Doupe, 2014. "The Costs of Error in Setting Reference Rates for Reduced Deforestation," CCEP Working Papers 1415, Centre for Climate Economics & Policy, Crawford School of Public Policy, The Australian National University.
  19. Auffhammer, Maximilian & Steinhauser, Ralf, 2006. "The future trajectory of US CO2 emissions : the role of state vs. aggregate information," CUDARE Working Paper Series 1015, University of California at Berkeley, Department of Agricultural and Resource Economics and Policy.
  20. Carson, Richard T. & Cenesizoglu, Tolga & Parker, Roger, 2011. "Forecasting (aggregate) demand for US commercial air travel," International Journal of Forecasting, Elsevier, vol. 27(3), pages 923-941, July.
  21. 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.
  22. Schanne, N. & Wapler, R. & Weyh, A., 2010. "Regional unemployment forecasts with spatial interdependencies," International Journal of Forecasting, Elsevier, vol. 26(4), pages 908-926, October.
  23. Peter M Robinson, 2009. "Developments in the Analysis of Spatial Data," STICERD - Econometrics Paper Series 531, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
  24. Trívez Bielsa, F.J., 2004. "Economía espacial: Una disciplina en auge," Estudios de Economía Aplicada, Estudios de Economía Aplicada, vol. 22, pages 1-18, Diciembre.
  25. Giacomini, Raffaella, 2014. "Economic theory and forecasting: lessons from the literature," CEPR Discussion Papers 10201, C.E.P.R. Discussion Papers.
  26. Kelejian, Harry H. & Prucha, Ingmar R., 2004. "Estimation of simultaneous systems of spatially interrelated cross sectional equations," Journal of Econometrics, Elsevier, vol. 118(1-2), pages 27-50.
  27. Bhattacharjee, Arnab & Jensen-Butler, Chris, 2011. "Estimation of the Spatial Weights Matrix under Structural Constraints," SIRE Discussion Papers 2011-48, Scottish Institute for Research in Economics (SIRE).
  28. Juan de Dios Tena & Antoni Espasa & Gabriel Pino, 2008. "Forecasting Spanish inflation using information from different sectors and geographical areas," Statistics and Econometrics Working Papers ws080101, Universidad Carlos III, Departamento de Estadística y Econometría.
  29. Espasa, Antoni & Mayo-Burgos, Iván, 2013. "Forecasting aggregates and disaggregates with common features," International Journal of Forecasting, Elsevier, vol. 29(4), pages 718-732.
  30. Kristie M. Engemann & Rubén Hernández-Murillo & Michael T. Owyang, 2008. "Regional aggregation in forecasting: an application to the Federal Reserve's Eighth District," Regional Economic Development, Federal Reserve Bank of St. Louis, issue Oct, pages 15-29.
  31. David F. Hendry & Kirstin Hubrich, 2011. "Combining Disaggregate Forecasts or Combining Disaggregate Information to Forecast an Aggregate," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 29(2), pages 216-227, April.
  32. Frédérick Demers & Annie De Champlain, 2005. "Forecasting Core Inflation in Canada: Should We Forecast the Aggregate or the Components?," Working Papers 05-44, Bank of Canada.
  33. Qin, Duo & Cagas, Marie Anne & Ducanes, Geoffrey & Magtibay-Ramos, Nedelyn & Quising, Pilipinas F., 2007. "Measuring Regional Market Integration in Developing Asia: a Dynamic Factor Error Correction Model (DF-ECM) Approach," Working Papers on Regional Economic Integration 8, Asian Development Bank.
  34. Peter Robinson, 2008. "Developments in the analysis of spatial data," LSE Research Online Documents on Economics 25473, London School of Economics and Political Science, LSE Library.
  35. Youri Davydov & Vygantas Paulauskas, 2008. "On estimation of parameters for spatial autoregressive model," Statistical Inference for Stochastic Processes, Springer, vol. 11(3), pages 237-247, October.
  36. Gabriel Pino & Juan de Dios Tena & Antoni Espasa, 2013. "Forecasting disaggregates by sectors and regions : the case of inflation in the euro area and Spain," Statistics and Econometrics Working Papers ws130807, Universidad Carlos III, Departamento de Estadística y Econometría.
  37. Nicholson, Alan, 2015. "Travel time reliability benefits: Allowing for correlation," Research in Transportation Economics, Elsevier, vol. 49(C), pages 14-21.
  38. Paelinck, J. & Mur, J. & Trívez, J., 2004. "Econometría espacial: más luces que sombras," Estudios de Economía Aplicada, Estudios de Economía Aplicada, vol. 22, pages 1-19, Diciembre.
  39. Guillermo Carlomagnol & Antoni Espasa, 2014. "The pairwise approach to model a large set of disaggregates with common trends," Statistics and Econometrics Working Papers ws141309, Universidad Carlos III, Departamento de Estadística y Econometría.
  40. Arnab Bhattacharjee & Chris Jensen-Butler, 2005. "A Model of Regional Housing Markets in England and Wales," CRIEFF Discussion Papers 0508, Centre for Research into Industry, Enterprise, Finance and the Firm.
  41. Arnab Bhattacharjee & Chris Jensen-Butler, 2005. "Estimation of Spatial Weights Matrix in a Spatial Error Model, with an Application to Diffusion in Housing Demand," CRIEFF Discussion Papers 0519, Centre for Research into Industry, Enterprise, Finance and the Firm.
  42. Caporin Massimiliano & Paruolo Paolo, 2005. "Spatial effects in multivariate ARCH," Economics and Quantitative Methods qf0501, Department of Economics, University of Insubria.
  43. Shoesmith, Gary L., 2013. "Space–time autoregressive models and forecasting national, regional and state crime rates," International Journal of Forecasting, Elsevier, vol. 29(1), pages 191-201.
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