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Financial market frictions in a model of the Euro area

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  • Lombardo, Giovanni
  • McAdam, Peter

Abstract

We build a model of the euro area incorporating financial market frictions at the level of firms and households. Entrepreneurs borrow from financial intermediaries in order to purchase business capital, in the spirit of the “financial accelerator” literature. We also introduce two types of households that differ in their degree of time preference. All households have preferences for housing services. The impatient households are faced with a collateral constraint that is a function of the value of their housing stock. Our aim is to provide a unified framework for policy analysis that emphasises financial market frictions alongside the more traditional model channels. The model is estimated by Bayesian methods using euro area aggregate data and model properties are illustrated with simulation and conditional variance and historical shock decomposition.

Suggested Citation

  • Lombardo, Giovanni & McAdam, Peter, 2012. "Financial market frictions in a model of the Euro area," Economic Modelling, Elsevier, vol. 29(6), pages 2460-2485.
  • Handle: RePEc:eee:ecmode:v:29:y:2012:i:6:p:2460-2485
    DOI: 10.1016/j.econmod.2012.06.024
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    More about this item

    Keywords

    Financial frictions; Euro area; DSGE modeling; Bayesian estimation; Simulation; Decompositions;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • 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
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

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