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The failure to predict the Great Recession. The failure of academic economics? A view focusing on the role of credit

Author

Listed:
  • Maria Dolores Gadea Rivas

    (University of Zaragoza)

  • Gabriel Perez-Quiros

    (Banco de España y CEPR)

Abstract

Much has been written about why economists failed to predict the latest financial and real crisis. Reading the recent literature, it seems that the crisis was so obvious that economists must have been blind when looking at data not to see it coming. In this paper, we analyze whether such claims are justified by looking at one of the most cited and relevant variables in this analysis, the now infamous credit to GDP chart. We compare the conclusions reached in the literature after the crisis with the results that could have been drawn from an ex ante analysis. We show that, even though credit affects the business cycle in both the expansion and the recession phases, this effect is almost negligible and impossible to exploit from a policymaker’s point of view.

Suggested Citation

  • Maria Dolores Gadea Rivas & Gabriel Perez-Quiros, 2012. "The failure to predict the Great Recession. The failure of academic economics? A view focusing on the role of credit," Working Papers 1240, Banco de España.
    • Handle: RePEc:bde:wpaper:1240
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    References listed on IDEAS

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    Cited by:

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    2. Alvaro Ortiz Vidal-Abarca & Alfonso Ugarte Ruiz, 2015. "Introducing a New Early Warning System Indicator (EWSI) of banking crises," Working Papers 1502, BBVA Bank, Economic Research Department.
    3. André K. Anundsen & Karsten Gerdrup & Frank Hansen & Kasper Kragh‐Sørensen, 2016. "Bubbles and Crises: The Role of House Prices and Credit," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(7), pages 1291-1311, November.
    4. Muhammad Khalil & Santi Chaisrisawatsuk, 2018. "Relationship Between Financial and Real Sectors: Implications for Stable Economic Development (Evidence from Thailand)," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 10(6), pages 204-217, June.
    5. Irma Alonso & Luis Molina, 2019. "The SHERLOC: an EWS-based index of vulnerability for emerging economies," Working Papers 1946, Banco de España.

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    More about this item

    Keywords

    business cycles; forecasting; financial crisis;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single 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

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