IDEAS home Printed from https://ideas.repec.org/p/bku/doctra/2017008.html
   My bibliography  Save this paper

Análisis del proceso de revisión de las Cuentas Nacionales Trimestrales en Uruguay

Author

Listed:
  • Ernesto Pienika

    (Banco Central del Uruguay)

  • Maximiliano Mateauda

    (Banco Central del Uruguay)

Abstract

Para satisfacer los requerimientos de oportunidad, los primeros datos de Cuentas Nacionales Trimestrales publicados por el Banco Central del Uruguay (BCU) se basan en un conjunto acotado de estadísticas básicas, que suele corregirse y actualizarse con el paso de los trimestres. En este trabajo se analizan las revisiones realizadas en las tasas de variación, interanual y desestacionalizada -respecto al trimestre anterior-, para las series del Producto Interno Bruto (PIB) y sus componentes por el enfoque de la producción, utilizando las series trimestrales publicadas por el BCU. En términos relativos, la magnitud de las revisiones realizadas por el BCU es similar a la de los países de la OCDE. En los procesos de revisión analizados, no se observa sesgo estadísticamente significativo, mientras que en más del 90% de los casos el signo de la variación no se modifica luego de las revisiones. Al analizar la eficiencia de las primeras estimaciones de las tasas interanuales, no se identifica la presencia de errores de medida para los tres periodos de revisión analizados. Mientras que, tanto para las revisiones a dos años, como a un año -en este segundo caso en sentido débil-, no se puede rechazar la incorporación de nueva información en las mismas. En las variaciones respecto al trimestre anterior, no es posible rechazar la presencia de ruido en las estimaciones iniciales cuando se analiza la revisión de un trimestre -principalmente por la utilización de filtros centrados en el proceso de ajuste estacional-, mientras que el análisis de la revisión a los dos años, indicaría que la misma incorpora nueva información.

Suggested Citation

  • Ernesto Pienika & Maximiliano Mateauda, 2017. "Análisis del proceso de revisión de las Cuentas Nacionales Trimestrales en Uruguay," Documentos de trabajo 2017008, Banco Central del Uruguay.
  • Handle: RePEc:bku:doctra:2017008
    as

    Download full text from publisher

    File URL: https://www.bcu.gub.uy/Estadisticas-e-Indicadores/Documentos%20de%20Trabajo/8.2017.pdf
    File Function: First version, 2017
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Faust, Jon & Rogers, John H. & H. Wright, Jonathan, 2003. "Exchange rate forecasting: the errors we've really made," Journal of International Economics, Elsevier, vol. 60(1), pages 35-59, May.
    Full references (including those not matched with items on IDEAS)

    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. Rime, Dagfinn & Sarno, Lucio & Sojli, Elvira, 2010. "Exchange rate forecasting, order flow and macroeconomic information," Journal of International Economics, Elsevier, vol. 80(1), pages 72-88, January.
    2. Galvão, Ana Beatriz, 2013. "Changes in predictive ability with mixed frequency data," International Journal of Forecasting, Elsevier, vol. 29(3), pages 395-410.
    3. Barbara Rossi, 2013. "Exchange Rate Predictability," Journal of Economic Literature, American Economic Association, vol. 51(4), pages 1063-1119, December.
    4. Clements, Michael P. & Beatriz Galvao, Ana, 2010. "Real-time Forecasting of Inflation and Output Growth in the Presence of Data Revisions," Economic Research Papers 270771, University of Warwick - Department of Economics.
    5. Wright, Jonathan H., 2008. "Bayesian Model Averaging and exchange rate forecasts," Journal of Econometrics, Elsevier, vol. 146(2), pages 329-341, October.
    6. Hamid Baghestani, 2010. "Evaluating Blue Chip forecasts of the trade-weighted dollar exchange rate," Applied Financial Economics, Taylor & Francis Journals, vol. 20(24), pages 1879-1889.
    7. Clements, Michael P. & Beatriz Galvão, Ana, 2010. "First announcements and real economic activity," European Economic Review, Elsevier, vol. 54(6), pages 803-817, August.
    8. Roche, M.J. & Moore. M.J., 2002. "Volatile and persistent real exchange rates without the contrivance of sticky prices," Economics Department Working Paper Series n1160402, Department of Economics, National University of Ireland - Maynooth.
    9. Michael P. Clements & Ana Beatriz Galvão, 2007. "Macroeconomic Forecasting with Mixed Frequency Data: Forecasting US Output Growth," Working Papers 616, Queen Mary University of London, School of Economics and Finance.
    10. Ding, Shusheng & Zheng, Dandan & Cui, Tianxiang & Du, Min, 2023. "The oil price-inflation nexus: The exchange rate pass- through effect," Energy Economics, Elsevier, vol. 125(C).
    11. Clements Michael P., 2012. "Forecasting U.S. Output Growth with Non-Linear Models in the Presence of Data Uncertainty," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(1), pages 1-27, January.
    12. Christopher J. Neely & Lucio Sarno, 2002. "How well do monetary fundamentals forecast exchange rates?," Review, Federal Reserve Bank of St. Louis, vol. 84(Sep), pages 51-74.
    13. Kari Heimonen, 2006. "Time-Varying Fundamentals of the Euro-Dollar Exchange Rate," International Economic Journal, Taylor & Francis Journals, vol. 20(4), pages 385-407.
    14. Atsushi Inoue & Lutz Kilian, 2005. "In-Sample or Out-of-Sample Tests of Predictability: Which One Should We Use?," Econometric Reviews, Taylor & Francis Journals, vol. 23(4), pages 371-402.
    15. Eric Fisher, 2004. "Exploring Elements of Exchange Rate Theory in a Controlled Enivronment," Levine's Bibliography 122247000000000199, UCLA Department of Economics.
    16. Michele Ca’ Zorzi & Jakub Muck & Michal Rubaszek, 2016. "Real Exchange Rate Forecasting and PPP: This Time the Random Walk Loses," Open Economies Review, Springer, vol. 27(3), pages 585-609, July.
    17. Martin D. D. Evans & Richard K. Lyons, 2017. "Meese-Rogoff Redux: Micro-Based Exchange-Rate Forecasting," World Scientific Book Chapters, in: Studies in Foreign Exchange Economics, chapter 11, pages 457-475, World Scientific Publishing Co. Pte. Ltd..
    18. Stefan Reitz & Jan-Christoph Rülke & Georg Stadtmann, 2009. "Are oil-price-forecasters finally right? – Regressive expectations towards more fundamental values of the oil price," WHU Working Paper Series - Economics Group 09-04, WHU - Otto Beisheim School of Management.
    19. Moore, Michael J. & Roche, Maurice J., 2010. "Solving exchange rate puzzles with neither sticky prices nor trade costs," Journal of International Money and Finance, Elsevier, vol. 29(6), pages 1151-1170, October.
    20. George Christodoulakis & Emmanuel Mamatzakis, 2008. "Asymmetries in the sport-forward G10 exchange rates: an answer to an old puzzle?," Discussion Paper Series 2008_12, Department of Economics, University of Macedonia, revised Sep 2008.

    More about this item

    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:bku:doctra:2017008. 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: Biblioteca Especializada (email available below). General contact details of provider: https://edirc.repec.org/data/bcugvuy.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.