• Media type: E-Book
  • Title: OccBin : A Toolkit for Solving Dynamic Models with Occasionally Binding Constraints Easily
  • Contributor: Guerrieri, Luca [Author]; Iacoviello, Matteo [Other]
  • Published: [S.l.]: SSRN, [2015]
  • Published in: FEDS Working Paper ; No. 2014-47
  • Extent: 1 Online-Ressource (50 p)
  • Language: English
  • DOI: 10.2139/ssrn.2466637
  • Identifier:
  • Origination:
  • Footnote: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments July 7, 2014 erstellt
  • Description: We describe how to adapt a first-order perturbation approach and apply it in a piecewise fashion to handle occasionally binding constraints in dynamic models. Our examples include a real business cycle model with a constraint on the level of investment and a New Keynesian model subject to the zero lower bound on nominal interest rates. We compare the piecewise linear perturbation solution with a high-quality numerical solution that can be taken to be virtually exact. The piecewise linear perturbation method can adequately capture key properties of the models we consider. A key advantage of this method is its applicability to models with a large number of state variables
  • Access State: Open Access