Using the Flow of High Frequency Information for Short Term Forecasting of Economic Activity in Argentina
AbstractWe exploit the richness of a large data set of daily and monthly business cycle indicators by pooling them to produce Nowcast of contemporaneous real GDP growth. We conduct predictions based on a pooling of bivariate forecasts which uses these indicators as predictors of GDP (Nowcast with pooling). We also conduct a Nowcast exercise with factors for a restricted subset of business cycle indicators. When comparing the predictive accuracy of Nowcast with pooling and with factors with that of an AR(1) model, only the Nowcast with pooling outperforms the AR(1), indicating that the use of information released within the quarter helps to improve GDP growth prediction. The methodology then offers an encouraging and valuable approach to provide timely information for policy decision making.
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Bibliographic InfoArticle provided by Central Bank of Argentina, Economic Research Department in its journal Ensayos Económicos.
Volume (Year): 1 (2011)
Issue (Month): 64 (October - December)
forecast pooling; forecast using a large dataset; nowcast; factor models;
Find related papers by JEL classification:
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models &bull Diffusion Processes
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
- E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
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- Boivin, Jean & Ng, Serena, 2006.
"Are more data always better for factor analysis?,"
Journal of Econometrics,
Elsevier, vol. 132(1), pages 169-194, May.
- Katja Drechsel & Laurent Maurin, 2011.
"Flow of conjunctural information and forecast of euro area economic activity,"
Journal of Forecasting,
John Wiley & Sons, Ltd., vol. 30(3), pages 336-354, April.
- Drechsel, Katja & Maurin, Laurent, 2008. "Flow of conjunctural information and forecast of euro area economic activity," Working Paper Series 0925, European Central Bank.
- 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.
- Kenneth D. West & Todd Clark, 2006.
"Approximately Normal Tests for Equal Predictive Accuracy in Nested Models,"
NBER Technical Working Papers
0326, National Bureau of Economic Research, Inc.
- Clark, Todd E. & West, Kenneth D., 2007. "Approximately normal tests for equal predictive accuracy in nested models," Journal of Econometrics, Elsevier, vol. 138(1), pages 291-311, May.
- Todd E. Clark & Kenneth D. West, 2005. "Approximately normal tests for equal predictive accuracy in nested models," Research Working Paper RWP 05-05, Federal Reserve Bank of Kansas City.
- Croushore, Dean, 2006. "Forecasting with Real-Time Macroeconomic Data," Handbook of Economic Forecasting, Elsevier.
- Laura D´Amato & Lorena Garegnani & Emilio Blanco, 2008. "Forecasting Inflation in Argentina: Individual Models or Forecast Pooling?," BCRA Working Paper Series 200835, Central Bank of Argentina, Economic Research Department.
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