• Media type: E-Book
  • Title: Fat-Tail Distributions and Business-Cycle Models
  • Contributor: Ascari, Guido [Author]; Fagiolo, Giorgio [Author]; Roventini, Andrea [Author]
  • imprint: Pavia: University of Pavia, Department of Economics and Quantitative Methods, 2012
  • Published in: Università degli Studi di Pavia: Quaderni del Dipartimento ; 157
  • Extent: Online-Ressource
  • Language: English
  • Identifier:
  • Keywords: Graue Literatur
  • Origination:
  • Footnote: Systemvoraussetzungen: Acrobat Reader
  • Description: Recent empirical findings suggest that macroeconomic variables are seldom normally dis- tributed. For example, the distributions of aggregate output growth-rate time series of many OECD countries are well approximated by symmetric exponential-power (EP) den- sities, with Laplace fat tails. In this work, we assess whether Real Business Cycle (RBC) and standard medium-scale New-Keynesian (NK) models are able to replicate this sta- tistical regularity. We simulate both models drawing Gaussian- vs Laplace-distributed shocks and we explore the statistical properties of simulated time series. Our results cast doubts on whether RBC and NK models are able to provide a satisfactory representation of the transmission mechanisms linking exogenous shocks to macroeconomic dynamics.
  • Access State: Open Access