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Aggregationn of Space-Time Processes
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Cited by:
- Frédérick Demers & Annie De Champlain, 2005. "Forecasting Core Inflation in Canada: Should We Forecast the Aggregate or the Components?," Staff Working Papers 05-44, Bank of Canada.
- Patrick Doupe, 2014. "The Costs of Error in Setting Reference Rates for Reduced Deforestation," CCEP Working Papers 1415, Centre for Climate & Energy Policy, Crawford School of Public Policy, The Australian National University.
- Svetlana Borovkova & Hendrik P. Lopuhaä & Budi Nurani Ruchjana, 2008. "Consistency and asymptotic normality of least squares estimators in generalized STAR models," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 62(4), pages 482-508, November.
- Gabriel Pino & J. D. Tena & Antoni Espasa, 2016. "Geographical disaggregation of sectoral inflation. Econometric modelling of the Euro area and Spanish economies," Applied Economics, Taylor & Francis Journals, vol. 48(9), pages 799-815, February.
- Kamarianakis, Yiannis & Prastacos, Poulicos, 2002. "Space-time modeling of traffic flow," ERSA conference papers ersa02p141, European Regional Science Association.
- Roger Bivand, 2008. "Implementing Representations Of Space In Economic Geography," Journal of Regional Science, Wiley Blackwell, vol. 48(1), pages 1-27, February.
- Elzbieta Szulc, 2008. "Modelling of the Dependence Between the Space-time Processes," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 8, pages 85-94.
- 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.
- Percoco, Marco, 2015. "Temporal aggregation and spatio-temporal traffic modeling," Journal of Transport Geography, Elsevier, vol. 46(C), pages 244-247.
- Hendry, David F. & Hubrich, Kirstin, 2011.
"Combining Disaggregate Forecasts or Combining Disaggregate Information to Forecast an Aggregate,"
Journal of Business & Economic Statistics, American Statistical Association, vol. 29(2), pages 216-227.
- 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.
- Hendry, David F. & Hubrich, Kirstin, 2010. "Combining disaggregate forecasts or combining disaggregate information to forecast an aggregate," Working Paper Series 1155, European Central Bank.
- Paulauskas, Vygantas, 2007. "On unit roots for spatial autoregressive models," Journal of Multivariate Analysis, Elsevier, vol. 98(1), pages 209-226, January.
- 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.
- Arnab Bhattacharjee & Sean Holly, 2011.
"Structural interactions in spatial panels,"
Empirical Economics, Springer, vol. 40(1), pages 69-94, February.
- Bhattacharjee, Arnab & Holly, Sean, 2009. "Structural Interactions in Spatial Panels," SIRE Discussion Papers 2009-39, Scottish Institute for Research in Economics (SIRE).
- Bhattacharjee, A. & Holly, S., 2010. "Structural Interactions in Spatial Panels," Cambridge Working Papers in Economics 1004, Faculty of Economics, University of Cambridge.
- Raffaella Giacomini, 2015.
"Economic theory and forecasting: lessons from the literature,"
Econometrics Journal, Royal Economic Society, vol. 18(2), pages 22-41, June.
- Raffaella Giacomini, 2014. "Economic theory and forecasting: lessons from the literature," CeMMAP working papers CWP41/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Giacomini, Raffaella, 2014. "Economic theory and forecasting: lessons from the literature," CEPR Discussion Papers 10201, C.E.P.R. Discussion Papers.
- Stratford M. Douglas & Julia N. Popova, 2011.
"Econometric Estimation of Spatial Patterns in Electricity Prices,"
The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 81-106.
- Stratford M. Douglas & Julia N. Popova, 2011. "Econometric Estimation of Spatial Patterns in Electricity Prices," The Energy Journal, , vol. 32(2), pages 81-106, April.
- Pesaran, M. Hashem & Chudik, Alexander, 2014.
"Aggregation in large dynamic panels,"
Journal of Econometrics, Elsevier, vol. 178(P2), pages 273-285.
- Hashem M. Pesaran & Alexander Chudik, 2011. "Aggregation in Large Dynamic Panels," CESifo Working Paper Series 3346, CESifo.
- Pesaran, M. Hashem & Chudik, Alexander, 2011. "Aggregation in Large Dynamic Panels," IZA Discussion Papers 5478, Institute of Labor Economics (IZA).
- Alexander Chudik & M. Hashem Pesaran, 2011. "Aggregation in large dynamic panels," Globalization Institute Working Papers 101, Federal Reserve Bank of Dallas.
- Pesaran, M.H. & Chudik, A., 2011. "Aggregation in Large Dynamic Panels," Cambridge Working Papers in Economics 1118, Faculty of Economics, University of Cambridge.
- Paelinck, J. & Mur, J. & Trívez, J., 2004. "Econometría espacial: más luces que sombras," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 22, pages 1-19, Diciembre.
- 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.
- 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.
- Carlomagno, Guillermo, 2014. "The pairwise approach to model a large set of disaggregates with common trends," DES - Working Papers. Statistics and Econometrics. WS ws141309, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- Baltagi, Badi H., 2013. "Panel Data Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 995-1024, Elsevier.
- Pino, Gabriel, 2013. "Forecasting disaggregates by sectors and regions : the case of inflation in the euro area and Spain," DES - Working Papers. Statistics and Econometrics. WS ws130807, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- Jiao, Xiaoying & Li, Gang & Chen, Jason Li, 2020. "Forecasting international tourism demand: a local spatiotemporal model," Annals of Tourism Research, Elsevier, vol. 83(C).
- 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.
- Duo Qin & Marie Anne Cagas & Geoffrey Ducanes & Nedelyn Magtibay-Ramos & Pilipinas Quising, 2007. "Measuring Regional Market Integration by Dynamic Factor Error Correction Model (DF-ECM) Approach: The Case of Developing Asia," EcoMod2007 23900071, EcoMod.
- 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.
- Hampel, Katharina & Kunz, Marcus & Schanne, Norbert & Wapler, Rüdiger & Weyh, Antje, 2007. "Regional employment forecasts with spatial interdependencies," IAB-Discussion Paper 200702, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
- Schanne, Norbert & Wapler, Rüdiger & Weyh, Antje, 2008. "Regional unemployment forecasts with spatial interdependencies," IAB-Discussion Paper 200828, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
- Arnab Bhattacharjee & Sean Holly, 2013.
"Understanding Interactions in Social Networks and Committees,"
Spatial Economic Analysis, Taylor & Francis Journals, vol. 8(1), pages 23-53, March.
- Bhattacharjee, Arnab & Holly, Sean, 2009. "Understanding Interactions in Social Networks and Committees," SIRE Discussion Papers 2009-53, Scottish Institute for Research in Economics (SIRE).
- Arnab Bhattacharjee & Sean Holly, 2010. "Understanding Interactions in Social Networks and Committees," CDMA Working Paper Series 201004, Centre for Dynamic Macroeconomic Analysis.
- Bhattacharjee, A. & Holly, S., 2010. "Understanding Interactions in Social Networks and Committees," Cambridge Working Papers in Economics 1003, Faculty of Economics, University of Cambridge.
- Bokun, Kathryn O. & Jackson, Laura E. & Kliesen, Kevin L. & Owyang, Michael T., 2023.
"FRED-SD: A real-time database for state-level data with forecasting applications,"
International Journal of Forecasting, Elsevier, vol. 39(1), pages 279-297.
- Kathryn Bokun & Laura E. Jackson & Kevin L. Kliesen & Michael T. Owyang, 2020. "FRED-SD: A Real-Time Database for State-Level Data with Forecasting Applications," Working Papers 2020-031, Federal Reserve Bank of St. Louis, revised 01 Aug 2021.
- Gopal K. Basak & Arnab Bhattacharjee & Samarjit Das, 2018. "Causal ordering and inference on acyclic networks," Empirical Economics, Springer, vol. 55(1), pages 213-232, August.
- Carlomagno, Guillermo, 2016. "Discovering common trends in a large set of disaggregates: statistical procedures and their properties," DES - Working Papers. Statistics and Econometrics. WS ws1519, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- Edoardo Otranto & Massimo Mucciardi, 2019. "Clustering space-time series: FSTAR as a flexible STAR approach," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 13(1), pages 175-199, March.
- Doupe, Patrick, 2014. "The costs of error in setting reference rates for reduced deforestation," Working Papers 249497, Australian National University, Centre for Climate Economics & Policy.
- Cabral, Joilson de Assis & Legey, Luiz Fernando Loureiro & Freitas Cabral, Maria Viviana de, 2017. "Electricity consumption forecasting in Brazil: A spatial econometrics approach," Energy, Elsevier, vol. 126(C), pages 124-131.
- Blazej Mazur, 2015. "Density forecasts based on disaggregate data: nowcasting Polish inflation," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 15, pages 71-87.
- 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.
- 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.
- 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.
- Duo Qin & Marie Anne Cagas & Geoffrey Ducanes & Nedelyn Magtibay-Ramos & Pilipinas Quising, 2007. "Measuring Regional Market Integration by Dynamic Factor Error Correction Model (DF-ECM) Approach: The Case of Developing Asia," EcoMod2007 23900071, EcoMod.
- Nicholson, Alan, 2015. "Travel time reliability benefits: Allowing for correlation," Research in Transportation Economics, Elsevier, vol. 49(C), pages 14-21.
- Badi H. Baltagi, 2008.
"Forecasting with panel data,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(2), pages 153-173.
- Baltagi, Badi H., 2006. "Forecasting with panel data," Discussion Paper Series 1: Economic Studies 2006,25, Deutsche Bundesbank.
- Badi H. Baltagi, 2007. "Forecasting with Panel Data," Center for Policy Research Working Papers 91, Center for Policy Research, Maxwell School, Syracuse University.
- 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.
- 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.
- Arnab Bhattacharjee & Eduardo Castro & João 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.
- Arnab Bhattacharjee & Eduardo Anselmo de Castro & João Lourenço Marques, 2011. "Spatial Interactions in Hedonic Pricing Models: The Urban Housing Market of Aveiro, Portugal," Dundee Discussion Papers in Economics 253, Economic Studies, University of Dundee.
- Bhattacharjee, Arnab & de Castro, Eduardo Anselmo & Marques, João Lourenço, 2011. "Spatial Interactions in Hedonic Pricing Models: The Urban Housing Market of Aveiro, Portugal," SIRE Discussion Papers 2011-45, Scottish Institute for Research in Economics (SIRE).
- Auffhammer, Maximilian & Carson, Richard T., 2007. "Forecasting the Path of China's CO2 Emissions Using Province Level Information," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt6d28j8rg, Department of Agricultural & Resource Economics, UC Berkeley.
- Helena Marques & Gabriel Pino & Juan Dios Tena Horrillo, 2014.
"Regional inflation dynamics using space–time models,"
Empirical Economics, Springer, vol. 47(3), pages 1147-1172, November.
- H. Marques & G. Pino & JdD Tena, 2009. "Regional inflation dynamics using space-time models," Working Paper CRENoS 200915, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
- 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.
- Carlomagno, Guillermo, 2015. "Forecasting a large set of disaggregates with common trends and outliers," DES - Working Papers. Statistics and Econometrics. WS ws1518, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- Marco Capasso & Koen Frenken & Tania Treibich, 2017. "Sectoral co-movements of employment growth at regional level," Economic Systems Research, Taylor & Francis Journals, vol. 29(1), pages 82-104, January.
- Hao, Yu & Zhang, Zong-Yong & Liao, Hua & Wei, Yi-Ming, 2015.
"China’s farewell to coal: A forecast of coal consumption through 2020,"
Energy Policy, Elsevier, vol. 86(C), pages 444-455.
- Yu Hao & Zong-Yong Zhang & Hua Liao & Yi-Ming Wei, 2014. "China's Farewell to Coal: A Forecast of Coal Consumption through 2020," CEEP-BIT Working Papers 76, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
- Espasa, Antoni & Mayo-Burgos, Iván, 2013.
"Forecasting aggregates and disaggregates with common features,"
International Journal of Forecasting, Elsevier, vol. 29(4), pages 718-732.
- Mayo, Iván, 2012. "Forecasting aggregates and disaggregates with common features," DES - Working Papers. Statistics and Econometrics. WS ws110805, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- Herrera Gómez, Marcos, 2017. "Fundamentos de Econometría Espacial Aplicada [Fundamentals of Applied Spatial Econometrics]," MPRA Paper 80871, University Library of Munich, Germany.
- Mao, Guangyu & Shen, Yan, 2019. "Bubbles or fundamentals? Modeling provincial house prices in China allowing for cross-sectional dependence," China Economic Review, Elsevier, vol. 53(C), pages 53-64.
- 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.
- Maximilian Auffhammer & Ralf Steinhauser, 2007.
"The Future Trajectory Of U.S. Co2 Emissions: The Role Of State Vs. Aggregate Information,"
Journal of Regional Science, Wiley Blackwell, vol. 47(1), pages 47-61, February.
- Auffhammer, Maximilian & Steinhauser, Ralf, 2006. "The Future Trajectory of US CO2 Emissions: The Role of State vs. Aggregate Information," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt4878j5w0, Department of Agricultural & Resource Economics, UC Berkeley.
- Auffhammer, Maximilian & Steinhauser, Ralf, 2006. "The Future Trajectory of US CO2 Emissions: The Role of State vs. Aggregate Information," CUDARE Working Papers 7157, University of California, Berkeley, Department of Agricultural and Resource Economics.
- Juan de Dios Tena & Antoni Espasa & Gabriel Pino, 2010. "Forecasting Spanish Inflation Using the Maximum Disaggregation Level by Sectors and Geographical Areas," International Regional Science Review, , vol. 33(2), pages 181-204, April.
- Massimiliano Agovino & Antonio Garofalo, 2013.
"Dipendenza spaziale contemporanea e non contemporanea nei tassi di disoccupazione: un tentativo di analisi empirica dei dati provinciali italiani,"
RIVISTA DI ECONOMIA E STATISTICA DEL TERRITORIO, FrancoAngeli Editore, vol. 2013(3), pages 45-82.
- Massimiliano Agovino & Antonio Garofalo, 2007. "Dipendenza Spaziale Contemporanea E Non Contemporanea Nei Tassi Di Disoccupazione: Un Tentativo Di Analisi Empirica Dei Dati Provinciali Italiani," Working Papers 2_2007, D.E.S. (Department of Economic Studies), University of Naples "Parthenope", Italy.
- M. Mucciardi & E. Otranto, 2016. "A Flexible Specification of Space–Time AutoRegressive Models," Working Paper CRENoS 201608, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
- Frédérick Demers & David Dupuis, 2005. "Forecasting Canadian GDP: Region-Specific versus Countrywide Information," Staff Working Papers 05-31, Bank of Canada.
- Hengzhou Xu & Chuanrong Zhang & Weidong Li & Wenjing Zhang & Hongchun Yin, 2018. "Economic growth and carbon emission in China:a spatial econometric Kuznets curve?," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 36(1), pages 11-28.
- Bhattacharjee, Arnab & Jensen-Butler, Chris, 2013.
"Estimation of the spatial weights matrix under structural constraints,"
Regional Science and Urban Economics, Elsevier, vol. 43(4), pages 617-634.
- 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).
- Arnab Bhattacharjee & Chris Jensen-Butler, 2011. "Estimation of the Spatial Weights Matrix under Structural Constraints," Dundee Discussion Papers in Economics 254, Economic Studies, University of Dundee.
- Cobb, Marcus P A, 2017. "Joint Forecast Combination of Macroeconomic Aggregates and Their Components," MPRA Paper 76556, University Library of Munich, Germany.
- Arnab Bhattacharjee & Sean Holly, 2011.
"Structural interactions in spatial panels,"
Empirical Economics, Springer, vol. 40(1), pages 69-94, February.
- Bhattacharjee, Arnab & Holly, Sean, 2009. "Structural Interactions in Spatial Panels," SIRE Discussion Papers 2009-39, Scottish Institute for Research in Economics (SIRE).
- Arnab Bhattacharjee & Sean Holly, 2010. "Structural Interactions in Spatial Panels," CDMA Working Paper Series 201003, Centre for Dynamic Macroeconomic Analysis.
- Bhattacharjee, A. & Holly, S., 2010. "Structural Interactions in Spatial Panels," Cambridge Working Papers in Economics 1004, Faculty of Economics, University of Cambridge.
- 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.
- Lambert, Dayton M. & Malzer, Gary L. & Lowenberg-DeBoer, James, 2004. "General Moment And Quasi-Maximum Likelihood Estimation Of A Spatially Autocorrelated System Of Equations: An Empirical Example Using On-Farm Precision Agriculture Data," Staff Papers 28667, Purdue University, Department of Agricultural Economics.
- Kristie M. Engemann & Ruben Hernandez-Murillo & Michael T. Owyang, 2011.
"Regional aggregation in forecasting: an application to the Federal Reserve’s Eighth District,"
Review, Federal Reserve Bank of St. Louis, vol. 93(May), pages 207-222.
- Kristie M. Engemann & Ruben Hernandez-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.
- Karamaziotis, Panagiotis I. & Raptis, Achilleas & Nikolopoulos, Konstantinos & Litsiou, Konstantia & Assimakopoulos, Vassilis, 2020. "An empirical investigation of water consumption forecasting methods," International Journal of Forecasting, Elsevier, vol. 36(2), pages 588-606.
- Guillermo Carlomagno & Nicolas Eterovic & L. G. Hernández-Román, 2023. "Disentangling Demand and Supply Inflation Shocks from Chilean Electronic Payment Data," Working Papers Central Bank of Chile 986, Central Bank of Chile.
- Raffaella Giacomini, 2014. "Economic theory and forecasting: lessons from the literature," CeMMAP working papers 41/14, Institute for Fiscal Studies.
- Pino, Gabriel, 2008. "Forecasting Spanish inflation using information from different sectors and geographical areas," DES - Working Papers. Statistics and Econometrics. WS ws080101, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- Shi, Xiaoxia & Phillips, Peter C.B., 2012.
"Nonlinear Cointegrating Regression Under Weak Identification,"
Econometric Theory, Cambridge University Press, vol. 28(3), pages 509-547, June.
- Xiaoxia Shi & Peter C. B. Phillips, 2010. "Nonlinear Cointegrating Regression under Weak Identification," Cowles Foundation Discussion Papers 1768, Cowles Foundation for Research in Economics, Yale University.
- 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.
- Ruben Hernandez-Murillo & Michael T. Owyang, 2004. "The information content of regional employment data for forecasting aggregate conditions," Working Papers 2004-005, Federal Reserve Bank of St. Louis.
- 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.
- Caporin Massimiliano & Paruolo Paolo, 2005. "Spatial effects in multivariate ARCH," Economics and Quantitative Methods qf0501, Department of Economics, University of Insubria.
- 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.
- Chun Liu & Gui-hua Nie, 2021. "Identifying the Driving Factors of Food Nitrogen Footprint in China, 2000–2018: Econometric Analysis of Provincial Spatial Panel Data by the STIRPAT Model," Sustainability, MDPI, vol. 13(11), pages 1-23, May.
- Prodosh Simlai, 2018. "Spatial Dependence, Idiosyncratic Risk, and the Valuation of Disaggregated Housing Data," The Journal of Real Estate Finance and Economics, Springer, vol. 57(2), pages 192-230, August.
- 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.
- Auffhammer, Maximilian & Carson, Richard T., 2006. "Forecasting the Path of China's CO2 Emissions: Offsetting Kyoto - and Then Some," CUDARE Working Papers 7197, University of California, Berkeley, Department of Agricultural and Resource Economics.
- Auffhammer, Maximilian & Carson, Richard T., 2008.
"Forecasting the path of China's CO2 emissions using province-level information,"
Journal of Environmental Economics and Management, Elsevier, vol. 55(3), pages 229-247, May.
- Auffhammer, Maximilian & Carson, Richard T., 2007. "Forecasting the Path of China's CO2 Emissions Using Province Level Information," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt6d28j8rg, Department of Agricultural & Resource Economics, UC Berkeley.
- E. Otranto & M. Mucciardi, 2017. "Clustering Space-Time Series: A Flexible STAR Approach," Working Paper CRENoS 201707, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
- 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.
- Xueting Zhao & J. Burnett, 2014. "Forecasting province-level $${\text {CO}}_{2}$$ CO 2 emissions in China," Letters in Spatial and Resource Sciences, Springer, vol. 7(3), pages 171-183, October.
- Xiangyu Ge & Zhimin Zhou & Yanli Zhou & Xinyue Ye & Songlin Liu, 2018. "A Spatial Panel Data Analysis of Economic Growth, Urbanization, and NO x Emissions in China," IJERPH, MDPI, vol. 15(4), pages 1-20, April.
- Trívez Bielsa, F.J., 2004. "Economía espacial: Una disciplina en auge," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 22, pages 1-18, Diciembre.
- Yuxin Meng & Lu Liu & Qiying Ran, 2022. "Can Urban Green Transformation Reduce the Urban–Rural Income Gap? Empirical Evidence Based on Spatial Durbin Model and Mediation Effect Model," Sustainability, MDPI, vol. 14(24), pages 1-24, December.
- Girum Dagnachew Abate & Niels Haldrup, 2017.
"Space-time modeling of electricity spot prices,"
The Energy Journal, International Association for Energy Economics, vol. 0(Number 5).
- Girum D. Abate & Niels Haldrup, 2015. "Space-time modeling of electricity spot prices," CREATES Research Papers 2015-22, Department of Economics and Business Economics, Aarhus University.
- Robinson, Peter, 2008. "Developments in the analysis of spatial data," LSE Research Online Documents on Economics 25473, London School of Economics and Political Science, LSE Library.
- Beidi Diao & Lei Ding & Panda Su & Jinhua Cheng, 2018. "The Spatial-Temporal Characteristics and Influential Factors of NOx Emissions in China: A Spatial Econometric Analysis," IJERPH, MDPI, vol. 15(7), pages 1-19, July.