A supply-side GDP nowcasting model

Author:

Fernández Cerezo Alejandro1

Affiliation:

1. Banco de España

Abstract

Rationale The recent shocks to the Spanish economy, linked to both COVID-19 and rising energy prices, have had an uneven impact across sectors of activity, underscoring the importance of monitoring the supply side of economic activity. Takeaways •This article presents a model for forecasting quarterly GDP using a combination of monthly indicators to estimate the growth of gross value added for each sector of activity. •The results in terms of forecasting accuracy evidence the usefulness of a sectoral approach, as a complementary tool for monitoring economic activity in the short term.

Publisher

Banco de Espana

Reference16 articles.

1. Aguilar, Pablo, Corina Ghirelli, Matías Pacce and Alberto Urtasun. (2021). “Can news help measure economic sentiment? Anapplication in COVID-19 times”. Economics Letters, Vol. 199(C), Elsevier.

2. Álvarez, Luis Julián, Alberto Cabrero and Alberto Urtasun. (2014). “A procedure for short-term GDP forecasting”. Economic Bulletin - Bancode España, October, pp. 29-35. https://www.bde.es/f/webbde/SES/Secciones/Publicaciones/InformesBoletinesRevistas/BoletinEconomico/14/Oct/Files/art3e.pdf

3. Arencibia, Ana, Ana Gómez Loscos, Mercedes de Luis and Gabriel Pérez Quirós. (2017). “A short-term forecasting model for GDPand its demand components”. Economic Bulletin - Banco de España, 4/2017, Analytical Articles. https://www.bde.es/f/webbde/SES/Secciones/Publicaciones/InformesBoletinesRevistas/ArticulosAnaliticos/2017/T4/files/beaa1704-art30e.pdf

4. Bai, J., E. Ghysels and J. Wright. (2013). “State space models and MIDAS regressions”. Econometric Reviews, Vol. 32(7), pp. 779-813.

5. Banbura, M., D. Giannone, M. Modugno and L. Reichlin. (2013). “Now-Casting and the Real-Time Data Flow”. In G. Elliott, C.Granger and A. Timmermann (eds.). Handbook of Economic Forecasting, Vol. 2, Part A, Ch. 4, pp. 195-237, Elsevier.

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