Extracting GDP Signals From the Monthly Indicator of Economic Activity: Evidence From Chilean Real-Time Data
AbstractWith real-time data it is analyzed what information Chile’s monthly indicator of economic activity (IMACEC) contains about the final GDP, defined as the growth rate that has been subject to at least two annual revisions. Data are presented and revisions briefly analyzed. It is argued that when three months of IMACEC data are available, it is possible to extract signals about the final GDP, which are as reliable as those contained in the first release of the growth rate. This result is obtained with the evaluation in-sample as well as out-of-sample. It is then investigated how much extra information IMACEC data provide of the final GDP compared to what is already present in historical data. The in-sample analysis indicates statistically significant improvements when more IMACEC data of the quarter are available. Measured by the root mean square nowcast error (RMSNE) the out-of-sample performance also improves as more monthly data are published, although when only the first IMACEC data of the quarter are available, this is not statistically significant.
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Bibliographic InfoPaper provided by Central Bank of Chile in its series Working Papers Central Bank of Chile with number 595.
Date of creation: Oct 2010
Date of revision:
Other versions of this item:
- 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,CIRET, vol. 2013(1), pages 1-16.
- 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
This paper has been announced in the following NEP Reports:
- NEP-ALL-2011-04-23 (All new papers)
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- 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 44p., March.
- Diebold, Francis X & Mariano, Roberto S, 1995.
"Comparing Predictive Accuracy,"
Journal of Business & Economic Statistics,
American Statistical Association, vol. 13(3), pages 253-63, July.
- Tom Doan, . "DMARIANO: RATS procedure to compute Diebold-Mariano Forecast Comparison Test," Statistical Software Components RTS00055, Boston College Department of Economics.
- Francis X. Diebold & Robert S. Mariano, 1994. "Comparing Predictive Accuracy," NBER Technical Working Papers 0169, National Bureau of Economic Research, Inc.
- Whitney K. Newey & Kenneth D. West, 1986.
"A Simple, Positive Semi-Definite, Heteroskedasticity and AutocorrelationConsistent Covariance Matrix,"
NBER Technical Working Papers
0055, National Bureau of Economic Research, Inc.
- Newey, Whitney K & West, Kenneth D, 1987. "A Simple, Positive Semi-definite, Heteroskedasticity and Autocorrelation Consistent Covariance Matrix," Econometrica, Econometric Society, vol. 55(3), pages 703-08, May.
- Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 33(1), pages 125-132.
- John C. Robertson & Ellis W. Tallman, 1998. "Data vintages and measuring forecast model performance," Economic Review, Federal Reserve Bank of Atlanta, issue Q 4, pages 4-20.
- Dean Croushore & Tom Stark, 1999.
"A real-time data set for macroeconomists,"
99-4, Federal Reserve Bank of Philadelphia.
- Tom Stark and Dean Croushore, 2001.
"Forecasting with a Real-Time Data Set for Macroeconomists,"
Computing in Economics and Finance 2001
258, Society for Computational Economics.
- 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.
- Tom Stark & Dean Croushore, 2001. "Forecasting with a real-time data set for macroeconomists," Working Papers 01-10, Federal Reserve Bank of Philadelphia.
- Athanasios Orphanides, 2001.
"Monetary Policy Rules Based on Real-Time Data,"
American Economic Review,
American Economic Association, vol. 91(4), pages 964-985, September.
- 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.
- Orphanides, Athanasios, 1999.
"The Quest for Prosperity Without Inflation,"
Working Paper Series
93, Sveriges Riksbank (Central Bank of Sweden).
- 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.
- Peter Christoffersen & Eric Ghysels & Norman Swanson, 2000. "Let's Get "Real" About Using Economic Data," Econometric Society World Congress 2000 Contributed Papers 1004, Econometric Society.
- Peter Christoffersen & Eric Ghysels & Norman R. Swanson, 2001. "Let's Get "Real" about Using Economic Data," CIRANO Working Papers 2001s-44, CIRANO.
- Peter Christoffersen & Eric Ghysels & Norman R. Swanson, . "Let's Get "Real" about Using Economic Data," EPRU Working Paper Series 01-15, Economic Policy Research Unit (EPRU), University of Copenhagen. Department of Economics.
- Dean Croushore & Tom Stark, 1999.
"A real-time data set for marcoeconomists: does the data vintage matter?,"
99-21, Federal Reserve Bank of Philadelphia.
- 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.
- Jon Faust & John H. Rogers & Jonathan H. Wright, 2000.
"News and noise in G-7 GDP announcements,"
International Finance Discussion Papers
690, Board of Governors of the Federal Reserve System (U.S.).
- Jon Faust & John H. Rogers & Jonathan H. Wright, 2001.
"Exchange rate forecasting: the errors we've really made,"
International Finance Discussion Papers
714, Board of Governors of the Federal Reserve System (U.S.).
- 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.
- Rómulo A. Chumacero & Francisco A. Gallego, 2001.
"Trends and Cycles in Real-Time,"
Working Papers Central Bank of Chile
130, Central Bank of Chile.
- 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.
- Pablo Pincheira, 2010. "A Real Time Evaluation of the Central Bank of Chile GDP Growth Forecasts," Working Papers Central Bank of Chile 556, Central Bank of Chile.
- 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.
- Bhattacharya, Rudrani & Pandey, Radhika & Veronese, Giovanni, 2011. "Tracking India Growth in Real Time," Working Papers 11/90, National Institute of Public Finance and Policy.
- 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.
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