Constructing a real-time coincident recession index: an application to the Peruvian economy
AbstractIn 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.
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Bibliographic InfoPaper provided by Banco Central de Reserva del Perú in its series Working Papers with number 2012-020.
Date of creation: Nov 2012
Date of revision:
business cycles; Markov-switching models; recession index; business tendency surveys;
Find related papers by 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
- 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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