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Money, Credit, Monetary Policy and the Business Cycle in the Euro Area

Author

Listed:
  • Domenico Giannone
  • Michèle Lenza
  • Lucrezia Reichlin

Abstract

This paper uses a data-set including time series data on macroeconomic variables, loans, deposits and interest rates for the euro area in order to study the features of financial intermediation over the business cycle. We find that stylized facts for aggregate monetary and real variables are re- markably similar to what has been found for the US by many studies while we uncover new facts on disaggregated loans and deposits. During the crisis the cyclical behavior of short term interest rates, loans and deposits remain stable but we identify unusual dynamics of longer term loans, deposits and longer term interest rates.

Suggested Citation

  • Domenico Giannone & Michèle Lenza & Lucrezia Reichlin, 2012. "Money, Credit, Monetary Policy and the Business Cycle in the Euro Area," Working Papers ECARES ECARES 2012-008, ULB -- Universite Libre de Bruxelles.
  • Handle: RePEc:eca:wpaper:2013/112202
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    References listed on IDEAS

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    More about this item

    Keywords

    Money; Loans; Non-financial corporations; Monetary policy; euro area;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • 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
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

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