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Extracting GDP signals from the monthly indicator of economic activity: Evidence from Chilean real-time data

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  • Michael Pedersen

Abstract

Real-time data are analysed for information on the Chilean monthly economic activity indicator IMACEC and what it indicates of the final GDP, defined as the growth rate that has been subject to at least two annual revisions. Data are presented and revisions analysed briefly. Mincer-Zarnowitz tests suggest that forecast rationality is rejected with respect to the three-month IMACEC growth rate as a nowcast of the first released quarterly GDP, as well as the first published GDP as a nowcast of the final GDP. An out-of-sample nowcasting analysis was conducted using only data which were available in real-time. The results show that small models nowcast better than less parsimonious ones. The evidence from the empirical study suggests no improvement in the nowcasting performance when historical data are supplemented with the first monthly IMACEC of the quarter. On the other hand, when two monthly observations IMACEC are available, the root mean squared nowcast error (RMSNE) decreases by 24%, and a further decline of 33% is obtained when the third monthly observation of the quarter is published. Both of these advances are statistically significant. No further improvement is obtained with the publication of the first release of the quarterly GDP. JEL classifications: C89, E17 Keywords: Real-time data, data revisions, nowcasting

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  • Michael Pedersen, 2013. "Extracting GDP signals from the monthly indicator of economic activity: Evidence from Chilean real-time data," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2013(1), pages 1-16.
    • Handle: RePEc:oec:stdkab:5k48345b3lkc
    DOI: 10.1787/jbcma-2013-5k48345b3lkc
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    1. Orphanides, Athanasios, 2003. "The quest for prosperity without inflation," Journal of Monetary Economics, Elsevier, vol. 50(3), pages 633-663, April.
    2. Christoffersen, Peter & Ghysels, Eric & Swanson, Norman R., 2002. "Let's get "real" about using economic data," Journal of Empirical Finance, Elsevier, vol. 9(3), pages 343-360, August.
    3. Michael Stanger, 2007. "Empalme del PIB y de los Componentes del Gasto: Series Anuales y Trimestrales 1986-2002, Base 2003," Economic Statistics Series 55, Central Bank of Chile.
    4. Faust, Jon & Rogers, John H & Wright, Jonathan H, 2005. "News and Noise in G-7 GDP Announcements," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 37(3), pages 403-419, June.
    5. Athanasios Orphanides, 2001. "Monetary Policy Rules Based on Real-Time Data," American Economic Review, American Economic Association, vol. 91(4), pages 964-985, September.
    6. John C. Robertson & Ellis W. Tallman, 1998. "Data vintages and measuring forecast model performance," Economic Review, Federal Reserve Bank of Atlanta, vol. 83(Q 4), pages 4-20.
    7. Dean Croushore, 2011. "Frontiers of Real-Time Data Analysis," Journal of Economic Literature, American Economic Association, vol. 49(1), pages 72-100, March.
    8. Dean Croushore & Tom Stark, 2003. "A Real-Time Data Set for Macroeconomists: Does the Data Vintage Matter?," The Review of Economics and Statistics, MIT Press, vol. 85(3), pages 605-617, August.
    9. Bernanke, Ben S. & Boivin, Jean, 2003. "Monetary policy in a data-rich environment," Journal of Monetary Economics, Elsevier, vol. 50(3), pages 525-546, April.
    10. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    11. Baffigi, Alberto & Golinelli, Roberto & Parigi, Giuseppe, 2004. "Bridge models to forecast the euro area GDP," International Journal of Forecasting, Elsevier, vol. 20(3), pages 447-460.
    12. 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.
    13. Croushore, Dean & Stark, Tom, 2001. "A real-time data set for macroeconomists," Journal of Econometrics, Elsevier, vol. 105(1), pages 111-130, November.
    14. Pilar Pozo & Felipe Stanger, 2009. "Metodología y resultados de la mensualización del PIB sectorial trimestral en el período 1996-2008," Economic Statistics Series 78, Central Bank of Chile.
    15. Cath Sleeman, 2006. "Analysis of revisions to quarterly GDP - a real-time database," Reserve Bank of New Zealand Bulletin, Reserve Bank of New Zealand, vol. 69, pages 1-44., March.
    16. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
    17. Stark, Tom & Croushore, Dean, 2002. "Forecasting with a real-time data set for macroeconomists," Journal of Macroeconomics, Elsevier, vol. 24(4), pages 507-531, December.
    18. Schumacher, Christian & Breitung, Jörg, 2008. "Real-time forecasting of German GDP based on a large factor model with monthly and quarterly data," International Journal of Forecasting, Elsevier, vol. 24(3), pages 386-398.
    19. Víctor Correa & Antonio Escandón & René Luengo & José Venegas., 2002. "Empalme PIB: Series Anuales y Trimestrales 1986 - 1995, Base 1996. Documento Metodológico," Working Papers Central Bank of Chile 179, Central Bank of Chile.
    20. Rómulo A.Chumacero & Francisco A.Gallego, 2002. "Trends and cycles in real-time," Estudios de Economia, University of Chile, Department of Economics, vol. 29(2 Year 20), pages 211-229, December.
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    Cited by:

    1. Pedersen, Michael, 2015. "What affects the predictions of private forecasters? The role of central bank forecasts in Chile," International Journal of Forecasting, Elsevier, vol. 31(4), pages 1043-1055.
    2. Yutaka Kurihara, 2016. "Can the Disparity between GDP and GDP Forecast Cause Economic Instability? The Recent Japanese Case," International Journal of Economics and Financial Research, Academic Research Publishing Group, vol. 2(8), pages 155-160, 08-2016.
    3. Pablo Pincheira & Hernán Rubio, 2010. "The Low Predictive Power of Simple Phillips Curves in Chile: A Real-Time Evaluation," Working Papers Central Bank of Chile 559, Central Bank of Chile.
    4. Bhattacharya, Rudrani & Pandey, Radhika & Veronese, Giovanni, 2011. "Tracking India Growth in Real Time," Working Papers 11/90, National Institute of Public Finance and Policy.
    5. Deicy J. Cristiano & Manuel D. Hernández & José David Pulido, 2012. "Pronósticos de corto plazo en tiempo real para la actividad económica colombiana," Borradores de Economia 724, Banco de la Republica de Colombia.
    6. Pedersen, Michael, 2019. "Anomalies in macroeconomic prediction errors–evidence from Chilean private forecasters," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1100-1107.
    7. Michael Pedersen, 2013. "What Affects the Predictions of Private Forecasters? The Role of Central Bank Forecasts," Working Papers Central Bank of Chile 686, Central Bank of Chile.
    8. Porshakov, A. & Ponomarenko, A. & Sinyakov, A., 2016. "Nowcasting and Short-Term Forecasting of Russian GDP with a Dynamic Factor Model," Journal of the New Economic Association, New Economic Association, vol. 30(2), pages 60-76.
    9. Víctor Riquelme & Gabriela Riveros, 2018. "Un Indicador Contemporáneo de Actividad (ICA) para Chile," Notas de Investigación Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 21(1), pages 134-149, April.
    10. Pablo Pincheira, 2010. "A Real Time Evaluation of the Central Bank of Chile GDP Growth Forecasts," Money Affairs, CEMLA, vol. 0(1), pages 37-73, January-J.

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    More about this item

    Keywords

    real-time data; data revisions; nowcasting;
    All these keywords.

    JEL classification:

    • C89 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other
    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications

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