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The Low Predictive Power of Simple Phillips Curves in Chile: A Real-Time Evaluation

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  • Pablo Pincheira
  • Hernán Rubio

Abstract

In this article we explore the existence, robustness and size of the contribution that several activity measures make when predicting inflation in Chile. For that purpose, we use backward-looking Phillips curves and make use of a real-time database to get an evaluation of predictive ability consistent with the uncertainty faced by policy-makers when making decisions in real time. Our main results confirm those shown by the recent literature in the USA: the predictive contribution of the GDP measures considered here is episodic, unstable and of moderate size. These results are robust to the estimation being made with either revised or real-time data. This holds true in a context in which final and first vintage GDP measures are shown to differ significantly and to generate quite different inflation forecasts.

Suggested Citation

  • 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.
  • Handle: RePEc:chb:bcchwp:559
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    References listed on IDEAS

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    1. Marcus Cobb, 2009. "Forecasting Chilean Inflation From Disaggregate Components," Working Papers Central Bank of Chile 545, Central Bank of Chile.
    2. Clark, Todd E. & West, Kenneth D., 2006. "Using out-of-sample mean squared prediction errors to test the martingale difference hypothesis," Journal of Econometrics, Elsevier, vol. 135(1-2), pages 155-186.
    3. Arturo Estrella & Jeffrey C. Fuhrer, 2003. "Monetary Policy Shifts and the Stability of Monetary Policy Models," The Review of Economics and Statistics, MIT Press, vol. 85(1), pages 94-104, February.
    4. Clark, Todd E. & McCracken, Michael W., 2006. "The Predictive Content of the Output Gap for Inflation: Resolving In-Sample and Out-of-Sample Evidence," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(5), pages 1127-1148, August.
    5. Luis F. Céspedes & Marcelo Ochoa & Claudio Soto, 2005. "The New Keynesian Phillips Curve in an Emerging Market Economy: The Case of Chile," Working Papers Central Bank of Chile 355, Central Bank of Chile.
    6. 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, pages 1-16.
    7. Rodrigo Fuentes & Fabián Gredig & Mauricio Larraín, 2008. "La brecha de producto en Chile: medición y evaluación," Investigación Conjunta-Joint Research,in: Centro de Estudios Monetarios Latinoamericanos (CEMLA) (ed.), Estimación y Uso de Variables no Observables en la Región, edition 1, volume 1, chapter 3, pages 69-102 Centro de Estudios Monetarios Latinoamericanos, CEMLA.
    8. Pablo Pincheira, 2010. "A Real Time Evaluation of the Central Bank of Chile GDP Growth Forecasts," Money Affairs, Centro de Estudios Monetarios Latinoamericanos, vol. 0(1), pages 37-73, January-J.
    9. 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.
    10. Dalibor Eterovic, 2009. "Policy Reform Under Electoral Uncertainty," Working Papers Central Bank of Chile 546, Central Bank of Chile.
    11. Clark, Todd E. & West, Kenneth D., 2007. "Approximately normal tests for equal predictive accuracy in nested models," Journal of Econometrics, Elsevier, pages 291-311.
    12. Benjamín García S. & Juan Pablo Medina G., 2009. "Efectos de Primas Financieras Sobre la Actividad Agregada," Notas de Investigación Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 12(3), pages 89-101, December.
    13. Álvaro Aguirre R. & Luis Felipe Céspedes C., 2004. "Uso de Análisis Factorial Dinámico para Proyecciones Macroeconómicas," Working Papers Central Bank of Chile 274, Central Bank of Chile.
    14. 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. Carlos A. Medel, 2015. "Inflation Dynamics and the Hybrid New Keynesian Phillips Curve: The Case of Chile," Monetaria, Centro de Estudios Monetarios Latinoamericanos, pages 25-69.
    2. Horacio A. Aguirre & Emilio F. Blanco, 2015. "Credit and Macroprudential Policy in an Emerging Economy: a Structural Model Assessment," BIS Working Papers 504, Bank for International Settlements.

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