Forecasting the sectoral GVA of a small Spanish region
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Richard J. Smith & Timo Terasvirta, 1991. "Testing Linearity of Economic Time Series against Cyclical Asymmetry," Annals of Economics and Statistics, GENES, issue 20-21, pages 125-142.
- Ferrara, Laurent & Marcellino, Massimiliano & Mogliani, Matteo, 2015.
"Macroeconomic forecasting during the Great Recession: The return of non-linearity?,"
International Journal of Forecasting, Elsevier, vol. 31(3), pages 664-679.
- Laurent Ferrara & Marcellino, M. & Matteo Mogliani, 2012. "Macroeconomic forecasting during the Great Recession: The return of non-linearity?," Working papers 383, Banque de France.
- Laurent Ferrara & Massimiliano Marcellino & Matteo Mogliani, 2015. "Macroeconomic forecasting during the Great Recession: the return of non-linearity?," Post-Print hal-01635951, HAL.
- Marcellino, Massimiliano & Ferrara, Laurent & Mogliani, Matteo, 2013. "Macroeconomic forecasting during the Great Recession: The return of non-linearity?," CEPR Discussion Papers 9313, C.E.P.R. Discussion Papers.
- Terasvirta, Timo & van Dijk, Dick & Medeiros, Marcelo C., 2005.
"Linear models, smooth transition autoregressions, and neural networks for forecasting macroeconomic time series: A re-examination,"
International Journal of Forecasting, Elsevier, vol. 21(4), pages 755-774.
- Timo Teräsvirta & Dick van Dijk & Marcelo Cunha Medeiros, 2004. "Linear models, smooth transition autoregressions and neural networks for forecasting macroeconomic time series: A reexamination," Textos para discussão 485, Department of Economics PUC-Rio (Brazil).
- Teräsvirta, Timo & van Dijk, Dick & Medeiros, Marcelo, 2004. "Linear models, smooth transition autoregressions, and neural networks for forecasting macroeconomic time series: A re-examination," SSE/EFI Working Paper Series in Economics and Finance 561, Stockholm School of Economics, revised 09 Nov 2004.
- Terui, Nobuhiko & van Dijk, Herman K., 2002.
"Combined forecasts from linear and nonlinear time series models,"
International Journal of Forecasting, Elsevier, vol. 18(3), pages 421-438.
- Terui, N. & van Dijk, H.K., 1999. "Combined forecasts from linear and nonlinear time series models," Econometric Institute Research Papers EI 9949-/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- N. Terui & Herman K. van Dijk, 2000. "Combined Forecasts from Linear and Nonlinear Time Series Models," Tinbergen Institute Discussion Papers 00-003/4, Tinbergen Institute.
- Lehmann Robert & Wohlrabe Klaus, 2015.
"Forecasting GDP at the Regional Level with Many Predictors,"
German Economic Review, De Gruyter, vol. 16(2), pages 226-254, May.
- Robert Lehmann & Klaus Wohlrabe, 2015. "Forecasting GDP at the Regional Level with Many Predictors," German Economic Review, Verein für Socialpolitik, vol. 16(2), pages 226-254, May.
- Robert Lehmann & Klaus Wohlrabe, 2012. "Forecasting GDP at the Regional Level with Many Predictors," CESifo Working Paper Series 3956, CESifo.
- Robert Lehmann & Klaus Wohlrabe, 2013. "Forecasting GDP at the regional level with many predictors," ERSA conference papers ersa13p15, European Regional Science Association.
- Lehmann, Robert & Wohlrabe, Klaus, 2013. "Forecasting GDP at the regional level with many predictors," Discussion Papers in Economics 17104, University of Munich, Department of Economics.
- Badi H. Baltagi & Bernard Fingleton & Alain Pirotte, 2014.
"Estimating and Forecasting with a Dynamic Spatial Panel Data Model,"
Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(1), pages 112-138, February.
- Baltagi, Badi H. & Fingleton, Bernard & Pirotte, Alain, 2011. "Estimating and forecasting with a dynamic spatial panel data model," LSE Research Online Documents on Economics 58322, London School of Economics and Political Science, LSE Library.
- Badi H. Baltagi & Bernard Fingleton & Alain Pirotte, 2012. "Estimating and Forecasting With A Dynamic Spatial Panel Data Model," Center for Policy Research Working Papers 149, Center for Policy Research, Maxwell School, Syracuse University.
- Badi H. Baltagi & Bernard Fingleton & Alain Pirotte, 2011. "Estimating and Forecasting with a Dynamic Spatial Panel Data Model," SERC Discussion Papers 0095, Centre for Economic Performance, LSE.
- Carol Taylor West & Thomas M. Fullerton Jr., 2004. "Assessing the Historical Accuracy of Regional Economic Forecasts," Urban/Regional 0404009, University Library of Munich, Germany.
- repec:adr:anecst:y:1991:i:20-21:p:06 is not listed on IDEAS
- Robert Lehmann & Klaus Wohlrabe, 2014.
"Forecasting gross value-added at the regional level: are sectoral disaggregated predictions superior to direct ones?,"
Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 34(1), pages 61-90, February.
- Lehmann, Robert & Wohlrabe, Klaus, 2013. "Sectoral gross value-added forecasts at the regional level: Is there any information gain?," MPRA Paper 46765, University Library of Munich, Germany.
- Robert Lehmann & Klaus Wohlrabe, 2013. "Forecasting gross value-added at the regional level: Are sectoral disaggregated predictions superior to direct ones?," ifo Working Paper Series 171, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
- Robert Lehmann & Klaus Wohlrabe, 2014.
"Regional economic forecasting: state-of-the-art methodology and future challenges,"
Economics and Business Letters, Oviedo University Press, vol. 3(4), pages 218-231.
- Robert Lehmann & Klaus Wohlrabe, 2014. "Regional Economic Forecasting: State-of-the-Art Methodology and Future Challenge," CESifo Working Paper Series 5145, CESifo.
- Gianna Boero & Federico Lampis, 2017. "The Forecasting Performance Of Setar Models: An Empirical Application," Bulletin of Economic Research, Wiley Blackwell, vol. 69(3), pages 216-228, July.
- Fullerton, Thomas Jr. & Laaksonen, Mika M. & West, Carol T., 2001. "Regional multi-family housing start forecast accuracy," International Journal of Forecasting, Elsevier, vol. 17(2), pages 171-180.
- Terasvirta, Timo & Tjostheim, Dag & Granger, Clive W. J., 2010. "Modelling Nonlinear Economic Time Series," OUP Catalogue, Oxford University Press, number 9780199587155, Decembrie.
- Kopoin, Alexandre & Moran, Kevin & Paré, Jean-Pierre, 2013. "Forecasting regional GDP with factor models: How useful are national and international data?," Economics Letters, Elsevier, vol. 121(2), pages 267-270.
- Matias Mayor & Ana Jesus Lopez & Rigoberto Perez, 2007. "Forecasting Regional Employment with Shift-Share and ARIMA Modelling," Regional Studies, Taylor & Francis Journals, vol. 41(4), pages 543-551.
- Bernard Fingleton, 2014. "Forecasting with dynamic spatial panel data: practical implementation methods," Economics and Business Letters, Oviedo University Press, vol. 3(4), pages 194-207.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Gabisa, Elias W. & Gheewala, Shabbir H., 2020. "Can substitution of imported gasoline by locally produced molasses ethanol in Ethiopia be sustainable? An eco-efficiency assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 123(C).
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Robert Lehmann & Klaus Wohlrabe, 2014.
"Regional economic forecasting: state-of-the-art methodology and future challenges,"
Economics and Business Letters, Oviedo University Press, vol. 3(4), pages 218-231.
- Robert Lehmann & Klaus Wohlrabe, 2014. "Regional Economic Forecasting: State-of-the-Art Methodology and Future Challenge," CESifo Working Paper Series 5145, CESifo.
- Robert Lehmann, 2023.
"The Forecasting Power of the ifo Business Survey,"
Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 19(1), pages 43-94, March.
- Robert Lehmann, 2020. "The Forecasting Power of the ifo Business Survey," CESifo Working Paper Series 8291, CESifo.
- Robert Lehmann & Klaus Wohlrabe, 2017.
"Boosting and regional economic forecasting: the case of Germany,"
Letters in Spatial and Resource Sciences, Springer, vol. 10(2), pages 161-175, July.
- Lehmann, Robert & Wohlrabe, Klaus, 2015. "The role of component-wise boosting for regional economic forecasting," MPRA Paper 68186, University Library of Munich, Germany, revised 03 Dec 2015.
- Lehmann, Robert & Wohlrabe, Klaus, 2017. "Boosting and regional economic forecasting: the case of Germany," Munich Reprints in Economics 49919, University of Munich, Department of Economics.
- Robert Lehmann & Klaus Wohlrabe, 2016. "Boosting and Regional Economic Forecasting: The Case of Germany," CESifo Working Paper Series 6157, CESifo.
- Henzel Steffen R. & Lehmann Robert & Wohlrabe Klaus, 2015.
"Nowcasting Regional GDP: The Case of the Free State of Saxony,"
Review of Economics, De Gruyter, vol. 66(1), pages 71-98, April.
- Steffen Henzel & Robert Lehmann & Klaus Wohlrabe, 2015. "Nowcasting Regional GDP: The Case of the Free State of Saxony," CESifo Working Paper Series 5336, CESifo.
- Henzel, Steffen & Lehmann, Robert & Wohlrabe, Klaus, 2015. "Nowcasting Regional GDP: The Case of the Free State of Saxony," MPRA Paper 63714, University Library of Munich, Germany.
- Valerij Gamukin, 2017. "Structural Change of Gross Regional Product in the Subjects of Ural Federal District," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(2), pages 410-421.
- Robert Lehmann, 2016. "Economic Growth and Business Cycle Forecasting at the Regional Level," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 65, April.
- Robert Lehmann & Felix Leiss & Simon Litsche & Stefan Sauer & Michael Weber & Annette Weichselberger & Klaus Wohlrabe, 2019. "Mit den ifo-Umfragen regionale Konjunktur verstehen," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 72(09), pages 45-49, May.
- João C. Claudio & Katja Heinisch & Oliver Holtemöller, 2020.
"Nowcasting East German GDP growth: a MIDAS approach,"
Empirical Economics, Springer, vol. 58(1), pages 29-54, January.
- Claudio, João C. & Heinisch, Katja & Holtemöller, Oliver, 2019. "Nowcasting East German GDP growth: A MIDAS approach," IWH Discussion Papers 24/2019, Halle Institute for Economic Research (IWH).
- Galvão, Ana Beatriz, 2013.
"Changes in predictive ability with mixed frequency data,"
International Journal of Forecasting, Elsevier, vol. 29(3), pages 395-410.
- Ana Beatriz Galvão, 2007. "Changes in Predictive Ability with Mixed Frequency Data," Working Papers 595, Queen Mary University of London, School of Economics and Finance.
- Mitze, Timo & Makkonen, Teemu, 2023.
"Can large-scale RDI funding stimulate post-crisis recovery growth? Evidence for Finland during COVID-19,"
Technological Forecasting and Social Change, Elsevier, vol. 186(PB).
- Timo Mitze & Teemu Makkonen, 2021. "Can large-scale R&I funding stimulate post-crisis recovery growth? Evidence for Finland during COVID-19," Papers 2112.11562, arXiv.org.
- Kurmaş Akdoğan, 2017.
"Unemployment hysteresis and structural change in Europe,"
Empirical Economics, Springer, vol. 53(4), pages 1415-1440, December.
- Kurmaş Akdoğan, 2015. "Unemployment Hysteresis and Structural Change in Europe," EY International Congress on Economics II (EYC2015), November 5-6, 2015, Ankara, Turkey 266, Ekonomik Yaklasim Association.
- Kurmas Akdogan, 2016. "Unemployment Hysteresis and Structural Change in Europe," Working Papers 1618, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
- Álvarez, Inmaculada C. & Barbero, Javier & Zofío, José L., 2016.
"A spatial autoregressive panel model to analyze road network spillovers on production,"
Transportation Research Part A: Policy and Practice, Elsevier, vol. 93(C), pages 83-92.
- Álvarez, Inmaculada C. & Barbero, Javier & Zofío, José L., 2016. "A spatial autoregressive panel model to analyze road network spillovers on production," Efficiency Series Papers 2016/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
- Emilio Zanetti Chini, 2013.
"Generalizing smooth transition autoregressions,"
CREATES Research Papers
2013-32, Department of Economics and Business Economics, Aarhus University.
- Emilio Zanetti Chini, 2017. "Generalizing Smooth Transition Autoregressions," DEM Working Papers Series 138, University of Pavia, Department of Economics and Management.
- Emilio Zanetti Chini, 2013. "Generalizing smooth transition autoregressions," CEIS Research Paper 294, Tor Vergata University, CEIS, revised 25 Sep 2014.
- Emilio Zanetti Chini, 2016. "Generalizing smooth transition autoregressions," DEM Working Papers Series 114, University of Pavia, Department of Economics and Management.
- Kevin Moran & Simplice Aimé Nono & Imad Rherrad, 2018. "Forecasting with Many Predictors: How Useful are National and International Confidence Data?," Cahiers de recherche 1814, Centre de recherche sur les risques, les enjeux économiques, et les politiques publiques.
- Burridge, Peter & Iacone, Fabrizio & Lazarová, Štěpána, 2015. "Spatial effects in a common trend model of US city-level CPI," Regional Science and Urban Economics, Elsevier, vol. 54(C), pages 87-98.
- Kock, Anders Bredahl & Teräsvirta, Timo, 2014.
"Forecasting performances of three automated modelling techniques during the economic crisis 2007–2009,"
International Journal of Forecasting, Elsevier, vol. 30(3), pages 616-631.
- Anders Bredahl Kock & Timo Teräsvirta, 2011. "Forecasting performance of three automated modelling techniques during the economic crisis 2007-2009," CREATES Research Papers 2011-28, Department of Economics and Business Economics, Aarhus University.
- Zuzanna Karolak, 2021. "Energy prices forecasting using nonlinear univariate models," Bank i Kredyt, Narodowy Bank Polski, vol. 52(6), pages 577-598.
- Müller, Jonas & Trutnevyte, Evelina, 2020. "Spatial projections of solar PV installations at subnational level: Accuracy testing of regression models," Applied Energy, Elsevier, vol. 265(C).
- Zanetti Chini, Emilio, 2018.
"Forecasting dynamically asymmetric fluctuations of the U.S. business cycle,"
International Journal of Forecasting, Elsevier, vol. 34(4), pages 711-732.
- Emilio Zanetti Chini, 2018. "Forecasting dynamically asymmetric fluctuations of the U.S. business cycle," DEM Working Papers Series 156, University of Pavia, Department of Economics and Management.
- Emilio Zanetti Chini, 2018. "Forecasting dynamically asymmetric fluctuations of the U.S. business cycle," CREATES Research Papers 2018-13, Department of Economics and Business Economics, Aarhus University.
- Robert Lehmann, 2024.
"A real-time regional accounts database for Germany with applications to GDP revisions and nowcasting,"
Empirical Economics, Springer, vol. 67(2), pages 817-838, August.
- Robert Lehmann, 2023. "READ-GER: Introducing German Real-Time Regional Accounts Data for Revision Analysis and Nowcasting," CESifo Working Paper Series 10315, CESifo.
Corrections
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:ove:journl:aid:10969. See general information about how to correct material in RePEc.
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 CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
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.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Francisco J. Delgado (email available below). General contact details of provider: https://edirc.repec.org/data/deovies.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.