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Constructing a real-time coincident recession index: an application to the Peruvian economy


  • Mendoza, Liu

    (Universidad Peruana de Ciencias Aplicadas)

  • Morales, Daniel

    (Rimac Seguros)


In everyday macroeconomic analysis, businessmen and policymakers monitor many variables in order to assess the current situation of a country’s business cycle. However, making this assessment is extremely difficult, especially on the verge of recessions: does a drop in one or more of these series reveal the beginning of a recession? Or is it a signal of a temporal deceleration? To answer these questions we have constructed a monthly probabilistic coincident index to detect how close we are of a recession in the Peruvian economy using a non-linear Markov-switching model. In the construction of this index, we have explored the informational content of tendency surveys and international economic variables. We find that the index detected with promptness and reliability the recent recession period associated with the international financial crisis even in real-time analysis. However, since it has been developed with information comprising eight years due to limited data availability, its future recession detection capability has yet to endure the test of time.

Suggested Citation

  • Mendoza, Liu & Morales, Daniel, 2012. "Constructing a real-time coincident recession index: an application to the Peruvian economy," Working Papers 2012-020, Banco Central de Reserva del Perú.
  • Handle: RePEc:rbp:wpaper:2012-020

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    References listed on IDEAS

    1. Hansen, Bruce E, 1992. "The Likelihood Ratio Test under Nonstandard Conditions: Testing the Markov Switching Model of GNP," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(S), pages 61-82, Suppl. De.
    2. Hwee Kwan Chow & Keen Meng Choy, 2009. "Analyzing and forecasting business cycles in a small open economy: A dynamic factor model for Singapore," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2009(1), pages 19-41.
    3. Harding, Don & Pagan, Adrian, 2003. "A comparison of two business cycle dating methods," Journal of Economic Dynamics and Control, Elsevier, vol. 27(9), pages 1681-1690, July.
    4. Carrera Cesar, 2012. "Estimating Information Rigidity Using Firms' Survey Data," The B.E. Journal of Macroeconomics, De Gruyter, vol. 12(1), pages 1-34, June.
    5. Gabriel Rodríguez, 2010. "Application of Three Non-Linear Econometric Approaches to Identify Business Cycles in Peru," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2010(2), pages 1-25.
    6. Gustavo Yamada & Nelson Oviedo, 2016. "Educación superior y subempleo profesional: ¿Una creciente burbuja mundial?," Working Papers 16-09, Centro de Investigación, Universidad del Pacífico.
    7. Benoit Bellone & David Saint-Martin, 2004. "Detecting Turning Points with Many Predictors through Hidden Markov Models," Econometrics 0407001, EconWPA.
    8. Etter, Richard & Graff, Michael, 2011. "A composite leading indicator for the Peruvian economy based on the BCRP's monthly business tendency surveys," Working Papers 2011-006, Banco Central de Reserva del Perú.
    9. Javier Escobal & Javier Torres, 2002. "Un Sistema de Indicadores Líderes del Nivel de Actividad para la Economía Peruana," Documentos de Investigación dt39, Grupo de Análisis para el Desarrollo (GRADE).
    10. Maximo Camacho & Gabriel Perez-Quiros & Pilar Poncela, 2010. "Green shoots in the euro area. A real time measure," Working Papers 1026, Banco de España;Working Papers Homepage.
    11. Christophe Croux & Mario Forni & Lucrezia Reichlin, 2001. "A Measure Of Comovement For Economic Variables: Theory And Empirics," The Review of Economics and Statistics, MIT Press, vol. 83(2), pages 232-241, May.
    12. Jacques Anas & Laurent Ferrara, 2004. "Detecting Cyclical Turning Points: The ABCD Approach and Two Probabilistic Indicators," Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2004(2), pages 193-225.
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    More about this item


    business cycles; Markov-switching models; recession index; business tendency surveys;

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy

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