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OccBin: A toolkit for solving dynamic models with occasionally binding constraints easily

Listed author(s):
  • Guerrieri, Luca
  • Iacoviello, Matteo

The toolkit adapts a first-order perturbation approach and applies it in a piecewise fashion to solve dynamic models with occasionally binding constraints. 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. Compared with a high-quality numerical solution, the piecewise linear perturbation method can adequately capture key properties of the models we consider. A key advantage of the piecewise linear perturbation method is its applicability to models with a large number of state variables.

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File URL: http://www.sciencedirect.com/science/article/pii/S0304393214001238
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Article provided by Elsevier in its journal Journal of Monetary Economics.

Volume (Year): 70 (2015)
Issue (Month): C ()
Pages: 22-38

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Handle: RePEc:eee:moneco:v:70:y:2015:i:c:p:22-38
DOI: 10.1016/j.jmoneco.2014.08.005
Contact details of provider: Web page: http://www.elsevier.com/locate/inca/505566

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