IDEAS home Printed from https://ideas.repec.org/p/bde/opaper/1809.html
   My bibliography  Save this paper

Monitoring the Spanish economy from a regional perspective: main elements of analysis

Author

Listed:
  • Concha Artola

    (Banco de España)

  • María Gil

    (Banco de España)

  • Javier J. Pérez

    (Banco de España)

  • Alberto Urtasun

    (Banco de España)

  • Alejandro Fiorito

    (Johns Hopkins University)

  • Diego Vila

    (University of Amsterdam)

Abstract

In highly decentralized countries the subnational dimension of economic developments acquires particular relevance, given the existence of potential spillover effects across jurisdictions or the existence of asymmetric impacts of national-wide macroeconomic shocks. At the same time, though, the analysis of sub-national macroeconomic and public finance short-term developments tend to be restricted in many countries due to data limitations. Against this backdrop, the aim of this paper is to provide an overview of the available data for monitoring macroeconomic and public finance developments at the regional level in Spain, and to present some examples of its practical use in real time. After a thoroughly review of the publicly available information, we identify two key informational gaps in this area of conjunctural analysis, namely: (i) the lack of homogeneous and official quarterly measures of aggregate regional economic activity (in particular, real GDP), and (ii) the limited sample size of time series pertaining to government budgetary developments at the regional level.

Suggested Citation

  • Concha Artola & María Gil & Javier J. Pérez & Alberto Urtasun & Alejandro Fiorito & Diego Vila, 2018. "Monitoring the Spanish economy from a regional perspective: main elements of analysis," Occasional Papers 1809, Banco de España.
  • Handle: RePEc:bde:opaper:1809
    as

    Download full text from publisher

    File URL: https://www.bde.es/f/webbde/SES/Secciones/Publicaciones/PublicacionesSeriadas/DocumentosOcasionales/18/Files/do1809e.pdf
    File Function: First version, December 2018
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gary Koop & Stuart McIntyre & James Mitchell, 2018. "UK Regional Nowcasting using a Mixed Frequency Vector Autoregressive Model," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2018-07, Economic Statistics Centre of Excellence (ESCoE).
    2. Eduardo Bandrés & María Dolores Gadea-Rivas & Ana Gómez-Loscos, 2017. "Regional business cycles across europe," Occasional Papers 1702, Banco de España.
    3. Maria Gadea & Ana Gómez-Loscos & Antonio Montañés, 2012. "Cycles inside cycles: Spanish regional aggregation," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 3(4), pages 423-456, December.
    4. María Gil & Danilo Leiva-Leon & Javier J. Pérez & Alberto Urtasun, 2019. "An application of dynamic factor models to nowcast regional economic activity in Spain," Occasional Papers 1904, Banco de España.
    5. Verónica Cañal-Fernández, 2012. "Accuracy and reliability of Spanish regional accounts (CRE-95)," Empirical Economics, Springer, vol. 43(3), pages 1299-1320, December.
    6. Pablo Hernández de Cos & Javier J. Pérez, 2013. "The new budgetary stability law," Economic Bulletin, Banco de España, issue APR, pages 13-25, April.
    7. Otaviano Canuto & Marcelo Giugale, 2010. "The Day After Tomorrow : A Handbook on the Future of Economic Policy in the Developing World," World Bank Publications - Books, The World Bank Group, number 2507, December.
    8. 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.
    9. Henzel Steffen R. & Wohlrabe Klaus & Lehmann Robert, 2015. "Nowcasting Regional GDP: The Case of the Free State of Saxony," Review of Economics, De Gruyter, vol. 66(1), pages 71-98, April.
    10. Mercè Sala Rios & Teresa Torres Solé & Mariona Farré Perdiguer, 2014. "El ciclo económico de Cataluña. Un análisis comparativo con la Unión Económica y Monetaria," Cuadernos de Economía - Spanish Journal of Economics and Finance, Asociación Cuadernos de Economía, vol. 37(105), pages 169-180, Septiembr.
    11. 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.
    12. repec:bde:journl:v:04:y:2013:p:05 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. María Gil & Danilo Leiva-Leon & Javier J. Pérez & Alberto Urtasun, 2019. "An application of dynamic factor models to nowcast regional economic activity in Spain," Occasional Papers 1904, Banco de España.
    2. Corinna Ghirelli & María Gil & Samuel Hurtado & Alberto Urtasun, 2021. "The relationship between pandemic containment measures, mobility and economic activity," Occasional Papers 2109, Banco de España.
    3. Elvira Prades Illanes & Patrocinio Tello Casas, 2020. "The heterogeneous economic impact of COVID-19 among euro area regions and countries," Economic Bulletin, Banco de España, issue 2/2020.
    4. Elvira Prades Illanes & Patrocinio Tello Casas, 2020. "Heterogeneidad en el impacto económico del Covid-19 entre regiones y países del área del euro," Boletín Económico, Banco de España, issue 2/2020.
    5. de Lucio, Juan, 2021. "Estimación adelantada del crecimiento regional mediante redes neuronales LSTM," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 49, pages 45-64.

    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.
    1. 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.
    2. 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.
    3. V. Gamukin V. & В. Гамукин В., 2018. "Управление структурой валового регионального продукта в субъектах Южного федерального округа // Managing the Gross Regional Product Structure in the Territorial Subjects of the Southern Federal Distri," Управленческие науки // Management Science, ФГОБУВО Финансовый университет при Правительстве Российской Федерации // Financial University under The Government of Russian Federation, vol. 8(2), pages 18-29.
    4. 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.
    5. 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.
    6. 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.
    7. Lehmann, Robert & Wikman, Ida, 2022. "Quarterly GDP Estimates for the German States," MPRA Paper 112642, University Library of Munich, Germany.
    8. María Dolores Gadea-Rivas & Ana Gómez-Loscos & Danilo Leiva-Leon, 2017. "The evolution of regional economic interlinkages in Europe," Working Papers 1705, Banco de España.
    9. Ana Gómez-Loscos & M. Dolores Gadea & Eduardo Bandres, 2020. "Business cycle patterns in European regions," Empirical Economics, Springer, vol. 59(6), pages 2639-2661, December.
    10. Gadea-Rivas, María Dolores & Gómez-Loscos, Ana & Leiva-Leon, Danilo, 2019. "Increasing linkages among European regions. The role of sectoral composition," Economic Modelling, Elsevier, vol. 80(C), pages 222-243.
    11. Camacho, Máximo & Pacce, Matias & Ulloa, Camilo, 2018. "Regional Business Cycle Phases in Spain/Ciclos económicos regionales en España," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 36, pages 857-896, Septiembr.
    12. 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.
    13. V.V. Gamukin & O.S. Miroshnichenko, 2021. "Impact of the Gross Regional Product and Total Monetary Income of the Population on Savings Behavior in the Regions of Russia," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 20(3), pages 383-405.
    14. 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.
    15. Chernis, Tony & Cheung, Calista & Velasco, Gabriella, 2020. "A three-frequency dynamic factor model for nowcasting Canadian provincial GDP growth," International Journal of Forecasting, Elsevier, vol. 36(3), pages 851-872.
    16. María Dolores Gadea-Rivas & Ana Gómez-Loscos & Eduardo Bandrés, 2019. "Ciclos económicos y clusters regionales en Europa," Occasional Papers 1914, Banco de España.
    17. 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.
    18. Dolores Gadea-Rivas, M. & Gómez-Loscos, Ana & Bandrés, Eduardo, 2018. "Clustering regional business cycles," Economics Letters, Elsevier, vol. 162(C), pages 171-176.
    19. Konstantin Kuck & Karsten Schweikert, 2021. "Forecasting Baden‐Württemberg's GDP growth: MIDAS regressions versus dynamic mixed‐frequency factor models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(5), pages 861-882, August.
    20. Federico Lampis, 2016. "Forecasting the sectoral GVA of a small Spanish region," Economics and Business Letters, Oviedo University Press, vol. 5(2), pages 38-44.

    More about this item

    Keywords

    regional economics; regional data; macroeconomic forecasting; subnational public finances;
    All these keywords.

    JEL classification:

    • E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • H72 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Budget and Expenditures

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:bde:opaper:1809. 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: Ángel Rodríguez. Electronic Dissemination of Information Unit. Research Department. Banco de España (email available below). General contact details of provider: https://edirc.repec.org/data/bdegves.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.