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Short-Run Forecasting of Argentine Gross Domestic Product Growth

Author

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

Abstract

We propose a small-scale dynamic factor model for monitoring Argentine gross domestic product (GDP) in real time using economic data at mixed frequencies (monthly and quarterly), which are published with different time lags. 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 the highly volatile Argentine GDP growth. By using a pseudo real-time empirical evaluation, we show that our model produces reliable backcasts, nowcasts, and forecasts well before the official data are released.

Suggested Citation

  • Maximo Camacho & Marcos Dal Bianco & Jaime Martinez-Martin, 2015. "Short-Run Forecasting of Argentine Gross Domestic Product Growth," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 51(3), pages 473-485, May.
  • Handle: RePEc:mes:emfitr:v:51:y:2015:i:3:p:473-485
    DOI: 10.1080/1540496X.2015.1025668
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    Cited by:

    1. Laura D'Amato & Lorena Garegnani & Emilio Blanco, 2016. "GDP Nowcasting: Assessing the Cyclical Conditions of the Argentine Economy," Ensayos Económicos, Central Bank of Argentina, Economic Research Department, vol. 1(74), pages 7-26, December.

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