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Short-Run Forecasting of Argentine GDP Growth

  • Marcos Dal Bianco
  • Jaime Martinez-Martín
  • Maximo Camacho

In this paper, we propose a small-scale dynamic factor model for monitoring Argentine GDP in real time using economic data at mixed frequencies (monthly and quarterly). Our model not only produces a coincident index of the Argentine business cycle in striking accordance with professional consensus and the history of the Argentine business cycle, but also generates accurate short-run forecasts of Argentine GDP growth. By using a simulated real-time empirical evaluation, we are able to demonstrate that our model produces reliable backcasts, nowcasts and forecasts well before the official data is released.

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Paper provided by BBVA Bank, Economic Research Department in its series Working Papers with number 1314.

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Length: 19 pages
Date of creation: Apr 2013
Date of revision:
Handle: RePEc:bbv:wpaper:1314
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  1. Alejandro Simone, 2001. "In Search of Coincident and Leading Indicators of Economic Activity in Argentina," IMF Working Papers 01/30, International Monetary Fund.
  2. Domenico Giannone & Lucrezia Reichlin & David H Small, 2007. "Nowcasting GDP and Inflation: The Real-Time Informational Content of Macroeconomic Data Releases," Money Macro and Finance (MMF) Research Group Conference 2006 164, Money Macro and Finance Research Group.
  3. S. Boragan Aruoba & Francis X. Diebold & Chiara Scotti, 2008. "Real-Time Measurement of Business Conditions," NBER Working Papers 14349, National Bureau of Economic Research, Inc.
  4. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-44, January.
  5. Mark Aguiar & Gita Gopinath, 2004. "Emerging Market Business Cycles: The Cycle is the Trend," NBER Working Papers 10734, National Bureau of Economic Research, Inc.
  6. Aguiar, Mark & Gopinath, Gita, 2007. "Emerging Market Business Cycles: The Cycle is the Trend," Scholarly Articles 11988098, Harvard University Department of Economics.
  7. Maximo Camacho & Gabriel Perez-Quiros, 2008. "Introducing the EURO-STING: Short Term INdicator of Euro Area Growth," Banco de Espa�a Working Papers 0807, Banco de Espa�a.
  8. Camacho, Maximo & Pérez-Quirós, Gabriel, 2005. "Jump-and-Rest Effects of US Business Cycles," CEPR Discussion Papers 4975, C.E.P.R. Discussion Papers.
  9. Camacho, Maximo & Pérez-Quirós, Gabriel & Poncela, Pilar, 2012. "Markov-switching dynamic factor models in real time," CEPR Discussion Papers 8866, C.E.P.R. Discussion Papers.
  10. Maximo Camacho & Rafael Domenech, 2010. "MICA-BBVA: A Factor Model of Economic and Financial Indicators for Short-term GDP Forecasting," Working Papers 1021, BBVA Bank, Economic Research Department.
  11. S. Boragan Aruoba & Francis X. Diebold, 2010. "Real-Time Macroeconomic Monitoring: Real Activity, Inflation, and Interactions," NBER Working Papers 15657, National Bureau of Economic Research, Inc.
  12. Serena Ng & Pierre Perron, 2001. "LAG Length Selection and the Construction of Unit Root Tests with Good Size and Power," Econometrica, Econometric Society, vol. 69(6), pages 1519-1554, November.
  13. Liu, Philip & Matheson, Troy & Romeu, Rafael, 2012. "Real-time forecasts of economic activity for Latin American economies," Economic Modelling, Elsevier, vol. 29(4), pages 1090-1098.
  14. Philip R. Lane, 2003. "Business Cycles and Macroeconomic Policy in Emerging Market Economies," Trinity Economics Papers 20032, Trinity College Dublin, Department of Economics.
  15. Arthur F. Burns & Wesley C. Mitchell, 1946. "Measuring Business Cycles," NBER Books, National Bureau of Economic Research, Inc, number burn46-1, May.
  16. 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.
  17. Maximo Camacho & Jaime Martinez-Martin, 2014. "Real-time forecasting US GDP from small-scale factor models," Empirical Economics, Springer, vol. 47(1), pages 347-364, August.
  18. Juan Mario Jorrat & Ana María Cerro, 2000. "Computing turning point monthly probability of the Argentinian economy according to the leading index: 1973 - 2000," Estudios de Economia, University of Chile, Department of Economics, vol. 27(2 Year 20), pages 279-295, December.
  19. James H. Stock & Mark W. Watson, 1989. "New Indexes of Coincident and Leading Economic Indicators," NBER Chapters, in: NBER Macroeconomics Annual 1989, Volume 4, pages 351-409 National Bureau of Economic Research, Inc.
  20. Roberto S. Mariano & Yasutomo Murasawa, 2003. "A new coincident index of business cycles based on monthly and quarterly series," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(4), pages 427-443.
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