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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

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    File URL: https://www.bde.es/f/webbde/SES/Secciones/Publicaciones/PublicacionesSeriadas/DocumentosOcasionales/18/Files/do1809e.pdf
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    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.
    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. & 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.
    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
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    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. 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.
    3. 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.
    4. 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.
    5. 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.

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    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

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