000 02379cam a22003497 4500
001 w16304
003 NBER
005 20211020111112.0
006 m o d
007 cr cnu||||||||
008 210910s2010 mau fo 000 0 eng d
100 1 _aMaliar, Serguei.
245 1 0 _aSolving the Multi-Country Real Business Cycle Model Using Ergodic Set Methods /
_cSerguei Maliar, Lilia Maliar, Kenneth L. Judd.
260 _aCambridge, Mass.
_bNational Bureau of Economic Research
_c2010.
300 _a1 online resource:
_billustrations (black and white);
490 1 _aNBER working paper series
_vno. w16304
500 _aAugust 2010.
520 3 _aWe use the stochastic simulation algorithm, described in Judd, Maliar and Maliar (2009), and the cluster-grid algorithm, developed in Judd, Maliar and Maliar (2010a), to solve a collection of multi-country real business cycle models. The following ingredients help us reduce the cost in high-dimensional problems: an endogenous grid enclosing the ergodic set, linear approximation methods, fixed-point iteration and efficient integration methods, such as non-product monomial rules and Monte Carlo integration combined with regression. We show that high accuracy in intratemporal choice is crucial for the overall accuracy of solutions and offer two approaches, precomputation and iteration-on-allocation, that can solve for intratemporal choice both accurately and quickly. We also implement a hybrid solution algorithm that combines the perturbation and accurate intratemporal-choice methods.
530 _aHardcopy version available to institutional subscribers
538 _aSystem requirements: Adobe [Acrobat] Reader required for PDF files.
538 _aMode of access: World Wide Web.
588 0 _aPrint version record
690 7 _aC63 - Computational Techniques • Simulation Modeling
_2Journal of Economic Literature class.
690 7 _aC68 - Computable General Equilibrium Models
_2Journal of Economic Literature class.
700 1 _aMaliar, Lilia.
_915919
700 1 _aJudd, Kenneth L.
_913819
710 2 _aNational Bureau of Economic Research.
830 0 _aWorking Paper Series (National Bureau of Economic Research)
_vno. w16304.
856 4 0 _uhttps://www.nber.org/papers/w16304
856 _yAcceso en lĂ­nea al DOI
_uhttp://dx.doi.org/10.3386/w16304
942 _2ddc
_cW-PAPER
999 _c331819
_d290381